{
 "generated": "2026-10-24",
 "count": 42,
 "medrecords_ai": {
  "slug": "medrecords-ai",
  "vendor": "Medrecords AI",
  "type": "Medical evidence AI (our product)",
  "site": "https://medrecords.ai/",
  "primary_buyer": "Law firms, LNCs, IME and QME physicians, claims teams and TPAs",
  "what_it_does": "Reads the full record, removes duplicates, builds a source-linked chronology, flags missing records, and drafts the work product you review, revise and sign",
  "source_citations": "Every chronology entry and answer links to its source page",
  "processing_model": "AI drafts and cites; you review, revise and sign",
  "human_review": "Yours: every line is editable and opens its source page",
  "formats_read": "PDFs, scans, handwriting and DICOM imaging",
  "turnaround": "About 100 pages a minute (2,000 pages in about 20 minutes)",
  "export_formats": "DOCX, PDF and HTML with live source links",
  "pricing_model": "Per deduplicated page, no subscription or seat licence",
  "published_price": "10 cents a page, down to 5 cents at volume; duplicates free",
  "free_trial": "First case is free on us.",
  "security": "SOC 2 and HIPAA; BAA and DPA on cloud plans",
  "founded": "Not published",
  "hq": "Sheridan, WY",
  "funding": "Not published",
  "team": "Not published",
  "web_traffic": "Not published",
  "review_listings": "Listed on G2 and SourceForge",
  "press": "Not published",
  "users_praise": [],
  "users_flag": [],
  "best_for": "Teams that need a cited, defensible work product from a messy record set",
  "us_searches_month": null,
  "rubric_published": "8 of 8",
  "profile_url": "/pricing/",
  "vs_url": null,
  "last_checked": "2026-10-24",
  "sources_on_file": 0
 },
 "vendors": [
  {
   "slug": "filevine",
   "vendor": "Filevine",
   "type": "Case management with AI",
   "site": "https://www.filevine.com",
   "primary_buyer": "Law firms of all sizes",
   "what_it_does": "Case management, documents, communications and AI",
   "source_citations": "Not stated for record review",
   "processing_model": "Case management software with AI features: MedChron auto-extracts dates, diagnoses, providers and codes into a chronology the customer reviews and finalizes (also Parrot deposition AI)",
   "human_review": "None disclosed",
   "formats_read": "Legal documents",
   "turnaround": "Hours of medical record review done in minutes, per its MedChron page; processing times may vary for larger files",
   "export_formats": "Not published",
   "pricing_model": "Quote-based",
   "published_price": "Not published",
   "free_trial": "Not published",
   "security": "SOC 2, HIPAA, per its site",
   "founded": "2015",
   "hq": "Salt Lake City, UT",
   "funding": "$548M total across 11 rounds; latest $400M equity round, per Tracxn and Reuters",
   "team": "Not published",
   "web_traffic": "Not published",
   "review_listings": "4.4/5 on Capterra from 286 reviews; about 4.6-4.7 on G2 (Legalware).",
   "press": "Reuters covered its $400M raise; Legalware reviewed its ratings",
   "users_praise": [
    "Full legal operating system with nearly 6,000 customers",
    "Capterra 4.4/5 from 286 reviews"
   ],
   "users_flag": [
    "Quote-only pricing",
    "A platform, not a focused record-review tool"
   ],
   "best_for": "Firms wanting case management plus AI",
   "us_searches_month": 27100,
   "rubric_published": "6 of 8",
   "profile_url": "",
   "vs_url": "/compare/medrecords-vs-filevine/",
   "last_checked": "2026-08-15",
   "sources_on_file": 19
  },
  {
   "slug": "evenup",
   "vendor": "EvenUp",
   "type": "Plaintiff AI platform",
   "site": "https://www.evenup.com",
   "primary_buyer": "Plaintiff and personal injury firms",
   "what_it_does": "Demand packages, case valuation and medical chronologies",
   "source_citations": "Evidence-based drafting per its site",
   "processing_model": "PIA, its personal injury model suite, in 2 tiers: Express Demands is AI-generated, AI plus expert review adds a legal-professional pass; 99% accuracy claimed",
   "human_review": "Tier-dependent: included on AI plus expert review demands, not on Express Demands",
   "formats_read": "Medical records",
   "turnaround": "A first draft in minutes on Express Demands and AI Drafts, per its product videos; the expert-review tier adds a review pass, and third-party reviews report 5-7 days in practice",
   "export_formats": "Not published",
   "pricing_model": "Project-based, quote only",
   "published_price": "Not published",
   "free_trial": "Not published",
   "security": "SOC 2, HIPAA, per its site",
   "founded": "2019",
   "hq": "San Francisco, CA",
   "funding": "$385M total; latest $150M Series E at a $2B+ valuation, per its announcement",
   "team": "500-672 employees (Silicon Valley Investclub and GetLatka)",
   "web_traffic": "Similarweb global rank about 494K, down 38.59% month over month (Similarweb).",
   "review_listings": "Not listed on G2 or Capterra as of 19 Oct 2026",
   "press": "Reuters covered its Series D and E; r/legaltech users describe its pricing and human-review trade-off",
   "users_praise": [
    "Human review on every demand, which users cite for accuracy",
    "$385M raised, 2,000+ firms, 200K+ cases"
   ],
   "users_flag": [
    "Most expensive option in 1 Reddit comparison",
    "Credit-based pricing described as confusing",
    "Slower processing because of human review"
   ],
   "best_for": "PI firms focused on demands and valuations",
   "us_searches_month": 9900,
   "rubric_published": "6 of 8",
   "profile_url": "",
   "vs_url": "/compare/medrecords-vs-evenup/",
   "last_checked": "2026-08-15",
   "sources_on_file": 16
  },
  {
   "slug": "eve",
   "vendor": "Eve",
   "type": "Plaintiff AI platform",
   "site": "https://www.eve.legal",
   "primary_buyer": "Plaintiff firms",
   "what_it_does": "Case work, demands and firm-wide AI",
   "source_citations": "Source-linked work product per its site",
   "processing_model": "AI (self-serve; learns firm-specific drafting style)",
   "human_review": "None disclosed",
   "formats_read": "Medical and legal records",
   "turnaround": "Demand letters generated in minutes",
   "export_formats": "Not published",
   "pricing_model": "Not published",
   "published_price": "Not published",
   "free_trial": "Not published",
   "security": "SOC 2, HIPAA, per its site",
   "founded": "2020",
   "hq": "San Mateo, CA",
   "funding": "$164M total; latest $103M Series B at a $1B+ valuation, per Tracxn and its announcement",
   "team": "Not published",
   "web_traffic": "Similarweb global rank about 190K, down 3.08% month over month (Similarweb).",
   "review_listings": "4.9 out of 5 on G2, per its site.",
   "press": "a16z and Artificial Lawyer covered its $103M Series B; r/legaltech users compare it with EvenUp and Supio",
   "users_praise": [
    "Fast processing: up to 25 files in 5-10 minutes, per a Reddit user",
    "4.9/5 on G2 and $164M raised"
   ],
   "users_flag": [
    "Requires upfront configuration",
    "About $350 per case, per a Reddit user",
    "1 user says it cannot process more than 25,000 pages"
   ],
   "best_for": "Plaintiff firms wanting a full platform",
   "us_searches_month": 5400,
   "rubric_published": "6 of 8",
   "profile_url": "",
   "vs_url": "/compare/medrecords-vs-eve/",
   "last_checked": "2026-08-15",
   "sources_on_file": 14
  },
  {
   "slug": "litify",
   "vendor": "Litify",
   "type": "Case management with AI",
   "site": "https://litify.com/",
   "primary_buyer": "Law firms",
   "what_it_does": "Practice management on Salesforce, intake and analytics",
   "source_citations": "Not stated for record review",
   "processing_model": "Not published",
   "human_review": "Not published",
   "formats_read": "Legal documents",
   "turnaround": "Not published",
   "export_formats": "Not published",
   "pricing_model": "Quote-based",
   "published_price": "Not published",
   "free_trial": "Not published",
   "security": "Not published",
   "founded": "2016",
   "hq": "Not published",
   "funding": "$78.6M total; investors include Tiger Global, Bessemer and Fortress (Startup Intros).",
   "team": "155-179 employees (GetLatka and Tracxn)",
   "web_traffic": "Similarweb global rank about 1.23M, down 4.78% month over month (Similarweb).",
   "review_listings": "Capterra lists 139 reviews, with individual reviews as high as 5.0 (Capterra).",
   "press": "Startup Intros lists $78.6M raised; GetLatka estimates revenue.",
   "users_praise": [
    "Salesforce-native practice management",
    "Capterra reviews up to 5.0"
   ],
   "users_flag": [
    "Quote-only pricing",
    "Not a record-review tool"
   ],
   "best_for": "Firms standardized on Salesforce",
   "us_searches_month": 5400,
   "rubric_published": "Not profiled",
   "profile_url": null,
   "vs_url": "/compare/medrecords-vs-litify/",
   "last_checked": "2026-10-20",
   "sources_on_file": 0
  },
  {
   "slug": "supio",
   "vendor": "Supio",
   "type": "Plaintiff AI platform",
   "site": "https://www.supio.com",
   "primary_buyer": "Plaintiff and PI firms",
   "what_it_does": "Intake to verdict: chronologies, demands and drafting",
   "source_citations": "Evidence-based drafting per its site",
   "processing_model": "100% AI (CaseAware), human-validated benchmarks",
   "human_review": "Included - accuracy benchmarked with human expert validation",
   "formats_read": "Medical records",
   "turnaround": "Not published",
   "export_formats": "Not published",
   "pricing_model": "Not published",
   "published_price": "Not published",
   "free_trial": "Not published",
   "security": "SOC 2 Type II, HIPAA, GDPR, per its site",
   "founded": "2021",
   "hq": "Seattle, WA",
   "funding": "$91M total; latest $60M Series B, per its announcement",
   "team": "169 employees (PitchBook)",
   "web_traffic": "Similarweb global rank about 708K, up 49.2% month over month (Similarweb).",
   "review_listings": "Not listed on G2 or Capterra as of 19 Oct 2026",
   "press": "Its blog covered the $60M Series B; r/legaltech users compare it with EvenUp and Eve",
   "users_praise": [
    "Strong for medical malpractice and expense extraction, per a Reddit user",
    "Broad plaintiff platform, $91M raised, 169 staff"
   ],
   "users_flag": [
    "1 user reports a 2-3 day turnaround due to human review",
    "1 user says it lacked document drafting at the time of their review",
    "No published pricing"
   ],
   "best_for": "Plaintiff firms wanting 1 AI platform",
   "us_searches_month": 5400,
   "rubric_published": "5 of 8",
   "profile_url": "",
   "vs_url": "/compare/medrecords-vs-supio/",
   "last_checked": "2026-08-15",
   "sources_on_file": 19
  },
  {
   "slug": "tavrn",
   "vendor": "Tavrn",
   "type": "Plaintiff AI platform",
   "site": "https://tavrn.ai/",
   "primary_buyer": "Attorneys, litigation support and insurers",
   "what_it_does": "Medical chronologies and summaries",
   "source_citations": "Not stated for every entry",
   "processing_model": "100% AI",
   "human_review": "None disclosed",
   "formats_read": "Medical records",
   "turnaround": "Chronology in as little as 1 hour",
   "export_formats": "Not published",
   "pricing_model": "Not published",
   "published_price": "~$40 per record request plus provider fees",
   "free_trial": "Not published",
   "security": "SOC 2, HIPAA, per its site",
   "founded": "Not published",
   "hq": "Not published",
   "funding": "$21.6M total; $15M Series A led by Left Lane Capital (PR Newswire).",
   "team": "65 employees (PitchBook)",
   "web_traffic": "Similarweb global rank about 1.0M, down 34.74% month over month (Similarweb).",
   "review_listings": "Not listed on G2 or Capterra as of 19 Oct 2026",
   "press": "PR Newswire covered its $15M Series A led by Left Lane Capital",
   "users_praise": [
    "Medical chronologies and summaries, $21.6M raised",
    "SOC 2 and HIPAA"
   ],
   "users_flag": [
    "No published pricing",
    "No review listing"
   ],
   "best_for": "Chronology-first teams",
   "us_searches_month": 1300,
   "rubric_published": "7 of 8",
   "profile_url": null,
   "vs_url": "/compare/medrecords-vs-tavrn/",
   "last_checked": "2026-10-20",
   "sources_on_file": 0
  },
  {
   "slug": "anytime-ai",
   "vendor": "Anytime AI",
   "type": "Legal AI suite",
   "site": "https://anytimeai.ai/",
   "primary_buyer": "Plaintiff lawyers",
   "what_it_does": "Intake, discovery, depositions and legal drafting",
   "source_citations": "Not stated publicly for every output",
   "processing_model": "AI (agentic AI platform)",
   "human_review": "None disclosed",
   "formats_read": "Legal documents",
   "turnaround": "Not published (qualitative 'hours not days/weeks')",
   "export_formats": "Not published",
   "pricing_model": "Not published",
   "published_price": "Not published",
   "free_trial": "Not published",
   "security": "SOC 2 Type II, HIPAA, ISO 27001, per its site",
   "founded": "2023",
   "hq": "White Plains, NY, USA",
   "funding": "$4M seed round in 2024, per its own announcement",
   "team": "Not published",
   "web_traffic": "Similarweb shows traffic up 56.93% month over month (Similarweb).",
   "review_listings": "Not listed on G2 or Capterra as of 19 Oct 2026",
   "press": "SmartAdvocate announced the partnership in 2026; PR Newswire covered its $4M seed",
   "users_praise": [
    "Closed AI platform built exclusively for plaintiff lawyers",
    "SmartAdvocate partnership and trial-lawyer co-design",
    "SOC 2 and HIPAA"
   ],
   "users_flag": [
    "No published pricing",
    "No independent review listing"
   ],
   "best_for": "Plaintiff firms wanting a broad assistant",
   "us_searches_month": 880,
   "rubric_published": "5 of 8",
   "profile_url": "",
   "vs_url": "/compare/medrecords-vs-anytime-ai/",
   "last_checked": "2026-08-15",
   "sources_on_file": 11
  },
  {
   "slug": "digitalowl",
   "vendor": "DigitalOwl",
   "type": "Claims and underwriting AI",
   "site": "https://www.digitalowl.com",
   "primary_buyer": "Insurers and claims teams",
   "what_it_does": "Medical record analysis and claim summaries",
   "source_citations": "Not stated",
   "processing_model": "100% AI (self-serve medical record review)",
   "human_review": "None disclosed",
   "formats_read": "Medical records",
   "turnaround": "Delivery within 24 hours (self-serve)",
   "export_formats": "Not published",
   "pricing_model": "Not published",
   "published_price": "Not published",
   "free_trial": "Not published",
   "security": "SOC 2, HIPAA, per its site",
   "founded": "2017",
   "hq": "New York, NY",
   "funding": "About $38.6M to $40.4M raised; acquired by Datavant on 8 Oct 2025 (Business Wire)",
   "team": "About 70 employees (PitchBook)",
   "web_traffic": "Similarweb shows traffic down 31.42% month over month (Similarweb).",
   "review_listings": "Not listed on G2 or Capterra as of 19 Oct 2026",
   "press": "Its $20M Series A and $40M total were covered by its press releases and Startup Intros",
   "users_praise": [
    "NLP record analysis built for insurers",
    "SOC 2 and HIPAA"
   ],
   "users_flag": [
    "No published pricing",
    "Traffic down 31% month over month on Similarweb"
   ],
   "best_for": "Carriers and claims organizations",
   "us_searches_month": 720,
   "rubric_published": "6 of 8",
   "profile_url": "",
   "vs_url": "/compare/medrecords-vs-digitalowl/",
   "last_checked": "2026-08-15",
   "sources_on_file": 17
  },
  {
   "slug": "wisedocs",
   "vendor": "Wisedocs",
   "type": "Claims and underwriting AI",
   "site": "https://www.wisedocs.ai",
   "primary_buyer": "Insurers and claims teams",
   "what_it_does": "Medical record review, summaries and claim intelligence",
   "source_citations": "Not stated for every entry",
   "processing_model": "AI + Human QA (expert clinician oversight)",
   "human_review": "Included (clinician QA on every document, per vendor)",
   "formats_read": "Medical records",
   "turnaround": "Hours; case study cites turnaround cut from 14 days to 2",
   "export_formats": "Not published",
   "pricing_model": "Not published",
   "published_price": "Not published",
   "free_trial": "Not published",
   "security": "SOC 2 Type II, HIPAA, PIPEDA, per its site",
   "founded": "2019",
   "hq": "Toronto, Ontario",
   "funding": "$16.4M to $17.2M total; $12.7M oversubscribed Series A, per Startup Intros and its blog.",
   "team": "Not published",
   "web_traffic": "Not published",
   "review_listings": "Listed on G2",
   "press": "Its blog and Tracxn cover the $12.7M Series A.",
   "users_praise": [
    "Record review built for insurers, about $17M raised",
    "Public trust center, SOC 2 and HIPAA"
   ],
   "users_flag": [
    "No published pricing",
    "No independent review score"
   ],
   "best_for": "Carriers and claims organizations",
   "us_searches_month": 720,
   "rubric_published": "5 of 8",
   "profile_url": "",
   "vs_url": "/compare/medrecords-vs-wisedocs/",
   "last_checked": "2026-08-15",
   "sources_on_file": 18
  },
  {
   "slug": "casefleet",
   "vendor": "CaseFleet",
   "type": "Case management with AI",
   "site": "https://casefleet.com/",
   "primary_buyer": "Litigators",
   "what_it_does": "Case chronology, fact management and issue tracking",
   "source_citations": "Source-linked facts in its chronology",
   "processing_model": "AI + Human review/approval",
   "human_review": "Included (users approve every AI-extracted fact)",
   "formats_read": "Legal and medical records",
   "turnaround": "Not published",
   "export_formats": "Not published (local backup/export supported)",
   "pricing_model": "Published from $30/user/month",
   "published_price": "$30-$180/user/month (Starter $30, Advanced AI $140, Enterprise custom)",
   "free_trial": "Not published",
   "security": "HIPAA, per its site",
   "founded": "2015",
   "hq": "Atlanta, GA, USA",
   "funding": "Not raised venture funding (Tracxn); bootstrapped since 2016",
   "team": "8 employees (Tracxn); LinkedIn lists 2-10",
   "web_traffic": "Similarweb global rank about 1.58M, up 18.13% month over month (Similarweb).",
   "review_listings": "4.9 out of 5 from 40 reviews on Capterra.",
   "press": "Lawyerist and Capterra review its pros and cons",
   "users_praise": [
    "4.9/5 on Capterra from 40 reviews",
    "Purpose-built chronology and fact management"
   ],
   "users_flag": [
    "Not for solos or transactional work (Lawyerist)",
    "Fewer integrations and weak accounting, per Lawyerist"
   ],
   "best_for": "Firms that want a fact-management workspace",
   "us_searches_month": 590,
   "rubric_published": "6 of 8",
   "profile_url": "",
   "vs_url": "/compare/medrecords-vs-casefleet/",
   "last_checked": "2026-08-15",
   "sources_on_file": 21
  },
  {
   "slug": "casemark-ai",
   "vendor": "CaseMark AI",
   "type": "Legal AI suite",
   "site": "https://casemark.com",
   "primary_buyer": "Legal teams and law firms",
   "what_it_does": "Document analysis, summarization, drafting, case and medical record summaries",
   "source_citations": "Not stated for every output",
   "processing_model": "100% AI (self-serve document/deposition summarization)",
   "human_review": "None disclosed",
   "formats_read": "Legal documents and medical records",
   "turnaround": "Minutes; same-day turnaround",
   "export_formats": "Not published",
   "pricing_model": "Published from $20 per seat per month (Standard) to $100 per seat per month (Pro)",
   "published_price": "$100/user/month incl. $80 in AI credits (Pro plan)",
   "free_trial": "Not published",
   "security": "SOC 2 Type II, HIPAA, per its site",
   "founded": "2023",
   "hq": "San Francisco, CA",
   "funding": "Not published",
   "team": "Not published",
   "web_traffic": "Not published",
   "review_listings": "Not published",
   "press": "Stork.AI and SourceForge profile it; Trustpilot has a single review.",
   "users_praise": [
    "Published pricing: $20 Standard and $100 Pro per seat per month",
    "Case, medical record and page-line summaries"
   ],
   "users_flag": [
    "Only 1 Trustpilot review, rated 3.7",
    "No independent G2 or Capterra listing found"
   ],
   "best_for": "Firms wanting an affordable per-seat legal AI",
   "us_searches_month": 590,
   "rubric_published": "7 of 8",
   "profile_url": "",
   "vs_url": "/compare/medrecords-vs-casemark-ai/",
   "last_checked": "2026-08-15",
   "sources_on_file": 16
  },
  {
   "slug": "abstractive-health",
   "vendor": "Abstractive Health",
   "type": "Record summary AI",
   "site": "https://abstractivehealth.com/",
   "primary_buyer": "Providers and health systems",
   "what_it_does": "Chart summaries, record retrieval and clinical Q&A",
   "source_citations": "Sentence-level citations on its site",
   "processing_model": "AI clinical summarization with RAG chart Q&A; no human review step described",
   "human_review": "Not published",
   "formats_read": "Clinical records",
   "turnaround": "Minutes (records retrieved and summarized within minutes, per its site)",
   "export_formats": "PDF, FHIR, JSON; original CCD and FHIR files downloadable",
   "pricing_model": "Not published",
   "published_price": "Free clinician tier; Standalone $99/user/month (up to 5 users); Organization custom",
   "free_trial": "Not published",
   "security": "HIPAA, per its site",
   "founded": "2022",
   "hq": "Not published",
   "funding": "About $1.35M raised (Caplight).",
   "team": "About 13 employees (PitchBook); LinkedIn lists 2-10",
   "web_traffic": "Similarweb global rank moved from about 2.57M to 1.30M over 3 months, up 53% month over month (Similarweb).",
   "review_listings": "Not listed on G2 or Capterra as of 19 Oct 2026",
   "press": "PitchBook, Caplight and Tracxn list its funding and headcount",
   "users_praise": [
    "Sentence-level citations on summaries",
    "Focused clinical team for providers"
   ],
   "users_flag": [
    "No G2 or Capterra listing",
    "About $1.35M raised, early stage"
   ],
   "best_for": "Clinical teams, not legal drafting",
   "us_searches_month": 320,
   "rubric_published": "6 of 8",
   "profile_url": null,
   "vs_url": null,
   "last_checked": "2026-08-15",
   "sources_on_file": 1
  },
  {
   "slug": "oraclaim",
   "vendor": "OraClaim",
   "type": "Claims and underwriting AI",
   "site": "https://oraclaim.com/",
   "primary_buyer": "Defense firms and claims managers",
   "what_it_does": "Claim intake, record review and analysis",
   "source_citations": "Not stated",
   "processing_model": "Extracts diagnoses, complaints, treatment, medications, outcomes, and prior accidents from records; flags treatment gaps, pre-existing conditions, missed appointments, and inconsistent complaints. \"Final legal analysis, examiner strategy, medical opinions, and claim decisions remain with qualified professionals.\"",
   "human_review": "Platform is designed to reduce manual review and surface facts faster; final legal analysis, examiner strategy, medical opinions, and claim decisions remain with qualified professionals (per its own site)",
   "formats_read": "Claims and medical records",
   "turnaround": "First-draft medical chronology in under 60 minutes after case file ingestion, versus 15-60+ hours for traditional review, per its site",
   "export_formats": "Not published",
   "pricing_model": "Not published",
   "published_price": "Not published",
   "free_trial": "Not published",
   "security": "Not published",
   "founded": "2024",
   "hq": "Mountain View, California",
   "funding": "$2.25M (PitchBook).",
   "team": "Not published",
   "web_traffic": "Not published",
   "review_listings": "Not listed on G2 or Capterra as of 19 Oct 2026",
   "press": "PitchBook and LinkedIn profile the company",
   "users_praise": [
    "Defense-side claim intelligence",
    "$2.25M raised (PitchBook)"
   ],
   "users_flag": [
    "No published pricing",
    "No review listing"
   ],
   "best_for": "Defense firms and claims managers",
   "us_searches_month": 210,
   "rubric_published": "4 of 8",
   "profile_url": null,
   "vs_url": null,
   "last_checked": "2026-08-15",
   "sources_on_file": 3
  },
  {
   "slug": "inpractice-ai",
   "vendor": "InPractice AI",
   "type": "Chronology AI",
   "site": "https://www.inpractice.ai/",
   "primary_buyer": "Attorneys and claims teams",
   "what_it_does": "AI summaries and chronologies",
   "source_citations": "Source pages per its site",
   "processing_model": "100% AI (human-editable output)",
   "human_review": "None disclosed",
   "formats_read": "Medical records",
   "turnaround": "Minutes (processes ~3 seconds per page)",
   "export_formats": "Word, PDF, Excel",
   "pricing_model": "Per-page and credit pricing per its site",
   "published_price": "$0.15 to $0.07/page; 4 packs from $150 to $7,000",
   "free_trial": "Not published",
   "security": "SOC 2, HIPAA, per its site",
   "founded": "2023",
   "hq": "7127 Hollister Ave, Suite 25A-103, Goleta, CA 93117",
   "funding": "Not published",
   "team": "8 employees (PitchBook)",
   "web_traffic": "Not published",
   "review_listings": "Not listed on G2 or Capterra as of 19 Oct 2026",
   "press": "PitchBook lists the team size",
   "users_praise": [
    "Fast summaries and chronologies",
    "8-person focused team"
   ],
   "users_flag": [
    "No independent review listing",
    "Funding not published"
   ],
   "best_for": "Chronology-first teams",
   "us_searches_month": 170,
   "rubric_published": "8 of 8",
   "profile_url": "",
   "vs_url": "/compare/medrecords-vs-inpractice-ai/",
   "last_checked": "2026-08-15",
   "sources_on_file": 8
  },
  {
   "slug": "cormetrix",
   "vendor": "CorMetrix (VerixAi)",
   "type": "Chronology AI",
   "site": "https://cormetrix.com/",
   "primary_buyer": "Medico-legal reviewers and carriers",
   "what_it_does": "Source-linked chronologies and peer review",
   "source_citations": "Source-linked by design",
   "processing_model": "AI software used by the customer; users scope the timeline and approve every export, and events added by hand are checked against the record",
   "human_review": "None offered by the vendor; the reviewing attorney, LNC or expert verifies each entry through source links",
   "formats_read": "Medical records",
   "turnaround": "Not published",
   "export_formats": "Medical chronology and DepoPrep exported as Word or PDF",
   "pricing_model": "Not published",
   "published_price": "Not published",
   "free_trial": "Not published",
   "security": "SOC 2, HIPAA, per its site",
   "founded": "Not published",
   "hq": "Not published",
   "funding": "Not raised funding (Tracxn)",
   "team": "11-50 employees (LinkedIn)",
   "web_traffic": "Not published",
   "review_listings": "Not listed on G2 or Capterra as of 19 Oct 2026",
   "press": "Tracxn and LinkedIn profile the company",
   "users_praise": [
    "Source-linked, defensible chronologies via VerixAi",
    "Built by clinical and legal experts"
   ],
   "users_flag": [
    "No funding yet (Tracxn)",
    "11-50 staff, early stage"
   ],
   "best_for": "Reviewers who need defensibility",
   "us_searches_month": 50,
   "rubric_published": "5 of 8",
   "profile_url": null,
   "vs_url": null,
   "last_checked": "2026-09-25",
   "sources_on_file": 4
  },
  {
   "slug": "basys-ai",
   "vendor": "basys.ai",
   "type": "Payer review AI",
   "site": "https://basys.ai/",
   "primary_buyer": "Health plans and providers",
   "what_it_does": "Prior authorization, utilization management and clinical audits",
   "source_citations": "Not stated",
   "processing_model": "AI matches prior authorization requests against patient charts and policy criteria and returns decisions with an audit trail",
   "human_review": "Not published",
   "formats_read": "Clinical and claims data",
   "turnaround": "Claims 4x faster time to decision and risk adjustment chart review in 3 minutes against 30 manually",
   "export_formats": "Not published",
   "pricing_model": "Not published",
   "published_price": "Not published",
   "free_trial": "Not published",
   "security": "Not published",
   "founded": "2023",
   "hq": "Not published",
   "funding": "About $2.4M pre-seed, led by Nina Capital (PR Newswire).",
   "team": "11-50 employees (LinkedIn); PitchBook lists 20",
   "web_traffic": "Similarweb shows traffic down 57.02% month over month (Similarweb).",
   "review_listings": "Not listed on G2 or Capterra as of 19 Oct 2026",
   "press": "PR Newswire covered its $2.4M pre-seed led by Nina Capital.",
   "users_praise": [
    "Agentic prior-authorization for payers",
    "Harvard spinout with Nina Capital backing"
   ],
   "users_flag": [
    "Payer-only, not a legal review tool",
    "No G2 or Capterra listing"
   ],
   "best_for": "Payers, not law firms",
   "us_searches_month": null,
   "rubric_published": "4 of 8",
   "profile_url": null,
   "vs_url": null,
   "last_checked": "2026-10-20",
   "sources_on_file": 0
  },
  {
   "slug": "brighterway",
   "vendor": "Brighterway",
   "type": "IME compliance AI",
   "site": "https://brighterway.ai/",
   "primary_buyer": "Case types not published",
   "what_it_does": "Software platform in medical-legal record review",
   "source_citations": "Not published",
   "processing_model": "100% AI",
   "human_review": "None disclosed",
   "formats_read": "Not published",
   "turnaround": "Not published (qualitative 'faster turnaround' only)",
   "export_formats": "Not published",
   "pricing_model": "Not published",
   "published_price": "Not published",
   "free_trial": "Not published",
   "security": "Not published",
   "founded": "2023",
   "hq": "San Francisco, CA, USA",
   "funding": "Y Combinator Summer 2024 batch; founders Walker Wells and Jason Apostol",
   "team": "14 employees",
   "web_traffic": "Not published",
   "review_listings": "No public reviews found",
   "press": "Not published",
   "users_praise": [],
   "users_flag": [],
   "best_for": "Workers' compensation claim medical record review",
   "us_searches_month": null,
   "rubric_published": "4 of 8",
   "profile_url": null,
   "vs_url": null,
   "last_checked": "2026-08-15",
   "sources_on_file": 6
  },
  {
   "slug": "case-chronology",
   "vendor": "Case Chronology",
   "type": "Chronology AI",
   "site": "https://www.casechronology.com/",
   "primary_buyer": "Claims adjustment; Legal litigation; Medical/healthcare (HIPAA); Complex multi-document cases",
   "what_it_does": "AI-powered case chronology/timeline software; Document analysis and management; Automated report generation; Duplicate detection; AI-assisted analysis",
   "source_citations": "Not published",
   "processing_model": "Not published",
   "human_review": "Not published",
   "formats_read": "Not published",
   "turnaround": "Not published",
   "export_formats": "Not published",
   "pricing_model": "Not published",
   "published_price": "Not published",
   "free_trial": "Not published",
   "security": "SOC 2 Type II, HIPAA, per its site",
   "founded": "2019",
   "hq": "Oldsmar, FL, USA",
   "funding": "Subsidiary of Entangle Media LLC; Mark Pinson (CEO)",
   "team": "11-50 employees",
   "web_traffic": "Not published",
   "review_listings": "No public reviews found",
   "press": "Not published",
   "users_praise": [],
   "users_flag": [],
   "best_for": "Audiences named on the vendor homepage: Claims Adjusters, Attorneys, Consultants, Expert Witnesses, C-Suite Executives, a cross-role ICP structurally very close to Medrecords AI's own stated audience (Expert Witnesses/Consultants ≈ IME/QME physicians and LNCs, Attorneys ≈ PI counsel, Claims Adjusters ≈ insurance claims…",
   "us_searches_month": null,
   "rubric_published": "1 of 8",
   "profile_url": null,
   "vs_url": null,
   "last_checked": "2026-08-15",
   "sources_on_file": 7
  },
  {
   "slug": "caseframe-ai",
   "vendor": "CaseFrame AI",
   "type": "Chronology AI",
   "site": "https://caseframeai.com/",
   "primary_buyer": "Plaintiff and defense firms",
   "what_it_does": "Medical record review, chronologies and summaries",
   "source_citations": "Source-linked entries per its site",
   "processing_model": "Self-serve AI document review; no human review step described",
   "human_review": "Not published",
   "formats_read": "Medical records, DICOM viewer",
   "turnaround": "Minutes (its site claims weeks of document review turned into minutes)",
   "export_formats": "Word and HTML with source hyperlinks; PowerPoint deck generation",
   "pricing_model": "Seat pricing published on its site",
   "published_price": "$200/month or $2,200/year; no usage or setup fees",
   "free_trial": "Not published",
   "security": "SOC 2, HIPAA, per its site",
   "founded": "Not published",
   "hq": "Not published",
   "funding": "Not published",
   "team": "Not published",
   "web_traffic": "Similarweb shows traffic flat month over month (Similarweb)",
   "review_listings": "Not listed on G2 or Capterra as of 19 Oct 2026",
   "press": "Superinsight's 2026 pricing guide lists the $200/month plan; CaseFrame's own feature page describes Bates-level citations",
   "users_praise": [
    "$200 per user per month with unlimited documents, users and cases",
    "Every timeline entry carries date, time, provider, page and Bates number",
    "SOC 2 and HIPAA"
   ],
   "users_flag": [
    "Seat-based cost scales with the number of users",
    "No independent review listing",
    "Funding not published"
   ],
   "best_for": "Firms wanting a record-review workspace",
   "us_searches_month": null,
   "rubric_published": "6 of 8",
   "profile_url": null,
   "vs_url": null,
   "last_checked": "2026-08-15",
   "sources_on_file": 3
  },
  {
   "slug": "chartinsight",
   "vendor": "ChartInsight",
   "type": "Chronology AI",
   "site": "https://chartinsight.ai/",
   "primary_buyer": "Legal and medical professionals",
   "what_it_does": "Automated medical records indexing and analysis",
   "source_citations": "Not stated",
   "processing_model": "AI-only: secure intake, OCR for scans and handwriting, page-by-page indexing, analysis against user instructions, content generation, PDF and DOCX output",
   "human_review": "No human review step stated for the software output. The parent company sells records retrieval and validation, and ChartInsight is described as the validation tool it built for itself",
   "formats_read": "Medical records",
   "turnaround": "Not published",
   "export_formats": "Editable DOCX with citations preserved; branded or standard PDF with page anchors; CSV (vitals matrix); Bates-stamped PDF package",
   "pricing_model": "Listed from $0 to $7.50 on its product page",
   "published_price": "Not published",
   "free_trial": "Not published",
   "security": "SOC 2, HIPAA, per its site",
   "founded": "Not published",
   "hq": "Not published",
   "funding": "Not published; a product of Gemini Legal",
   "team": "Not published",
   "web_traffic": "Not published",
   "review_listings": "Gemini Legal lists a 5.0 rating from 3 reviews on its product page.",
   "press": "PR Newswire covered a ChartInsight product release",
   "users_praise": [
    "Automated medical records indexing from $0 to $7.50",
    "SOC 2 and HIPAA"
   ],
   "users_flag": [
    "Few public reviews (3 on its product page)",
    "A Gemini Legal product, not standalone"
   ],
   "best_for": "Teams already using Gemini Legal",
   "us_searches_month": null,
   "rubric_published": "4 of 8",
   "profile_url": null,
   "vs_url": null,
   "last_checked": "2026-08-15",
   "sources_on_file": 5
  },
  {
   "slug": "chronos",
   "vendor": "Chronos AI",
   "type": "Chronology AI",
   "site": "https://medchronosai.com/",
   "primary_buyer": "Attorneys and claims teams",
   "what_it_does": "AI medical chronologies and summaries",
   "source_citations": "Not stated publicly",
   "processing_model": "AI-first self-serve software; the customer's own team reviews and refines the draft",
   "human_review": "None offered by the vendor; confidence scores support the firm's own verification",
   "formats_read": "Medical records",
   "turnaround": "Most chronologies ready in minutes; sub-hour turnaround claimed",
   "export_formats": "PDF, DOCX, and Excel for billing codes",
   "pricing_model": "Per-case pricing published on its site",
   "published_price": "5 credits $245 ($49/case) to 50 credits $1,950 ($39/case); first case free",
   "free_trial": "Not published",
   "security": "HIPAA, per its site",
   "founded": "Not published",
   "hq": "Not published",
   "funding": "Not published",
   "team": "Not published",
   "web_traffic": "Not published",
   "review_listings": "Not listed on G2 or Capterra as of 19 Oct 2026",
   "press": "PitchBook lists about $445K raised with Haatch as an investor",
   "users_praise": [
    "Fast AI chronologies with per-case pricing",
    "HIPAA"
   ],
   "users_flag": [
    "Minimal public reviews",
    "Funding not published"
   ],
   "best_for": "Chronology-first buyers",
   "us_searches_month": null,
   "rubric_published": "7 of 8",
   "profile_url": null,
   "vs_url": null,
   "last_checked": "2026-08-15",
   "sources_on_file": 2
  },
  {
   "slug": "cocounsel-casetext",
   "vendor": "CoCounsel (Casetext)",
   "type": "Legal AI suite",
   "site": "https://casetext.com/cocounsel/",
   "primary_buyer": "General litigation support including personal injury use cases via its medical chronology skill",
   "what_it_does": "CoCounsel is an AI legal assistant with a medical-chronology 'skill'/workflow among its litigation tools, alongside document review, deposition prep,",
   "source_citations": "Not published",
   "processing_model": "100% AI (self-serve legal research/drafting assistant)",
   "human_review": "None disclosed",
   "formats_read": "Not published",
   "turnaround": "Not published",
   "export_formats": "Not published",
   "pricing_model": "Subscription (per-user annual), bundled with Westlaw",
   "published_price": "Core from $4,500/user/year (requires separate Westlaw subscription)",
   "free_trial": "Not published",
   "security": "Not published",
   "founded": "Not published",
   "hq": "San Francisco, CA",
   "funding": "Acquired by Thomson Reuters; deal terms Not published",
   "team": "101-250 employees",
   "web_traffic": "Not published",
   "review_listings": "No public reviews found",
   "press": "Not published",
   "users_praise": [],
   "users_flag": [],
   "best_for": "Am Law 100 firms and corporate legal departments needing AI legal research/drafting",
   "us_searches_month": null,
   "rubric_published": "6 of 8",
   "profile_url": "",
   "vs_url": null,
   "last_checked": "2026-08-15",
   "sources_on_file": 8
  },
  {
   "slug": "codes-health",
   "vendor": "Codes Health",
   "type": "Plaintiff AI platform",
   "site": "https://www.getcodeshealth.com/",
   "primary_buyer": "Personal injury / plaintiff litigation",
   "what_it_does": "AI medical record retrieval for plaintiff firms; Medical chronologies/case summaries; AI-extracted case insights (breach of care, diagnoses, future ex",
   "source_citations": "Not published",
   "processing_model": "AI + Human QA (agentic retrieval with human verification)",
   "human_review": "Included (human verification before delivery)",
   "formats_read": "Not published",
   "turnaround": "10-12 Days (1-2 Weeks) for complete retrieval",
   "export_formats": "Not published",
   "pricing_model": "Project-based (flat fee per case)",
   "published_price": "Not published",
   "free_trial": "Not published",
   "security": "Not published",
   "founded": "2023",
   "hq": "55 Prospect St #800, Brooklyn, NY 11201",
   "funding": "Not published; built by the studio Tonik",
   "team": "11-50 employees",
   "web_traffic": "Not published",
   "review_listings": "No public reviews found",
   "press": "Not published",
   "users_praise": [],
   "users_flag": [],
   "best_for": "Plaintiff law firms handling personal injury litigation",
   "us_searches_month": null,
   "rubric_published": "6 of 8",
   "profile_url": null,
   "vs_url": null,
   "last_checked": "2026-08-15",
   "sources_on_file": 15
  },
  {
   "slug": "doclens-ai",
   "vendor": "DocLens.ai",
   "type": "Claims and underwriting AI",
   "site": "https://doclens.ai/",
   "primary_buyer": "Insurance carriers and insurance law firms handling liability claims and litigation across P&C lines (its published fit); case types beyond that are not broken out",
   "what_it_does": "An AI brain and guidance workflow for complex claims and litigation, built for P&C insurance carriers and insurance law firms",
   "source_citations": "Not published",
   "processing_model": "Agentic AI with API-driven tools and trained NER models in an extract, evaluate, execute pipeline; automated document review",
   "human_review": "Cites the expertise of its in-house legal professionals behind summarization; no human QA step on output described",
   "formats_read": "Not published",
   "turnaround": "Turns hours of manual review into minutes, per its site; no committed SLA",
   "export_formats": "Not published",
   "pricing_model": "Not published",
   "published_price": "Not published",
   "free_trial": "Not published",
   "security": "Not published",
   "founded": "Not published",
   "hq": "Not published",
   "funding": "Not published",
   "team": "Not published",
   "web_traffic": "Not published",
   "review_listings": "Not published",
   "press": "Not published",
   "users_praise": [],
   "users_flag": [],
   "best_for": "Insurance carriers and insurance law firms handling liability claims and litigation across P&C lines",
   "us_searches_month": null,
   "rubric_published": "4 of 8",
   "profile_url": "",
   "vs_url": null,
   "last_checked": "2026-08-15",
   "sources_on_file": 3
  },
  {
   "slug": "dodonai",
   "vendor": "Dodonai",
   "type": "Legal AI suite",
   "site": "https://dodon.ai/",
   "primary_buyer": "Law firms",
   "what_it_does": "Managed AI systems for document-heavy workflows",
   "source_citations": "Not stated for every entry",
   "processing_model": "AI + Optional Human Managed Services (add-on)",
   "human_review": "Optional add-on ('AI Managed Services')",
   "formats_read": "Documents and records",
   "turnaround": "Minutes (summaries); seconds (deposition summaries)",
   "export_formats": "Not published",
   "pricing_model": "Published credit pricing, from about $0.063/page",
   "published_price": "$25-$83/mo (4,800-120,000 credits/yr); $0.008-$0.06/page",
   "free_trial": "Not published",
   "security": "SOC 2, HIPAA, per its site",
   "founded": "2022",
   "hq": "Miami, FL, USA",
   "funding": "Not published",
   "team": "Not published",
   "web_traffic": "Similarweb shows traffic down 14.77% month over month (Similarweb).",
   "review_listings": "Not listed on G2 or Capterra as of 19 Oct 2026",
   "press": "Tracxn profiles it among AI competitors",
   "users_praise": [
    "Published per-page pricing from about $0.063",
    "Firm-owned AI systems around existing software"
   ],
   "users_flag": [
    "No independent review listing",
    "Funding not published"
   ],
   "best_for": "Firms wanting a managed AI layer",
   "us_searches_month": null,
   "rubric_published": "7 of 8",
   "profile_url": "",
   "vs_url": "/compare/medrecords-vs-dodonai/",
   "last_checked": "2026-08-15",
   "sources_on_file": 12
  },
  {
   "slug": "inquery",
   "vendor": "InQuery",
   "type": "Chronology AI",
   "site": "https://inquery.ai/",
   "primary_buyer": "Claims and legal teams",
   "what_it_does": "Medical-legal case intelligence and record review",
   "source_citations": "Not stated",
   "processing_model": "AI + Human QA",
   "human_review": "Included ('People check the work')",
   "formats_read": "Medical records",
   "turnaround": "2-6 hours (standard 300-500 page PI case)",
   "export_formats": "Not published (source-linked, page-cited deliverables)",
   "pricing_model": "Not published",
   "published_price": "Not published",
   "free_trial": "Not published",
   "security": "HIPAA, per its site",
   "founded": "Not published",
   "hq": "Not published",
   "funding": "About $3.1M, with Y Combinator among investors (PitchBook).",
   "team": "7 employees (PitchBook)",
   "web_traffic": "Not published",
   "review_listings": "Not listed on G2 or Capterra as of 19 Oct 2026",
   "press": "PitchBook lists about $3.1M raised with Y Combinator among investors.",
   "users_praise": [
    "Y Combinator-backed medical-legal case intelligence",
    "HIPAA"
   ],
   "users_flag": [
    "No published pricing",
    "No review listing"
   ],
   "best_for": "Teams handling complex claims",
   "us_searches_month": null,
   "rubric_published": "5 of 8",
   "profile_url": null,
   "vs_url": null,
   "last_checked": "2026-10-20",
   "sources_on_file": 0
  },
  {
   "slug": "lawpro-ai",
   "vendor": "LawPro AI",
   "type": "Plaintiff AI platform",
   "site": "https://lawpro.ai/",
   "primary_buyer": "Injury law firms",
   "what_it_does": "Case assistant, intake and value drivers",
   "source_citations": "Not stated",
   "processing_model": "AI-driven (citation-backed)",
   "human_review": "None disclosed",
   "formats_read": "Legal and medical records",
   "turnaround": "Not published",
   "export_formats": "Not published",
   "pricing_model": "Not published",
   "published_price": "Not published",
   "free_trial": "Not published",
   "security": "HIPAA, per its site",
   "founded": "2023",
   "hq": "Los Angeles, California",
   "funding": "Closed a seed round with Scopus Ventures (PR Newswire)",
   "team": "About 20 employees (Tracxn)",
   "web_traffic": "Not published",
   "review_listings": "Not listed on G2 or Capterra as of 19 Oct 2026",
   "press": "PR Newswire covered its seed; r/legaltech users compare it with Eve, EvenUp and Supio",
   "users_praise": [
    "Simple, intuitive platform and no page limit, per a Reddit user",
    "About $85 per case in a user's comparison"
   ],
   "users_flag": [
    "Set per-page price agreed upfront",
    "Narrowly tailored to PI firms"
   ],
   "best_for": "Injury firms focused on case value",
   "us_searches_month": null,
   "rubric_published": "5 of 8",
   "profile_url": null,
   "vs_url": null,
   "last_checked": "2026-08-15",
   "sources_on_file": 8
  },
  {
   "slug": "legalyze-ai",
   "vendor": "Legalyze.ai",
   "type": "Chronology AI",
   "site": "https://legalyze.ai/",
   "primary_buyer": "Law firms and legal professionals handling medical cases and litigation (its published fit); case types beyond that are not broken out",
   "what_it_does": "AI medical record review for law firms that turns records into chronologies and drafted documents; integrates with CASEpeer, MyCase, Smokeball, Litify and Sales",
   "source_citations": "Not published",
   "processing_model": "AI-only: AI reviews records, builds the chronology and drafts documents; no human step described",
   "human_review": "Not published",
   "formats_read": "Not published",
   "turnaround": "10 pages a minute per its FAQ; a 1,000-page file takes about 2 hours",
   "export_formats": "Exportable chronologies as CSV/Excel that can be filtered and categorized",
   "pricing_model": "Monthly subscription tiers per its FAQ; the pricing page itself lists a custom-quoted Teams plan with demo required",
   "published_price": "Starting at $150/month for 1,000 pages, with enterprise rates as low as $0.05/page (its FAQ)",
   "free_trial": "Not published",
   "security": "Not published",
   "founded": "Not published",
   "hq": "Not published",
   "funding": "Not published",
   "team": "Not published",
   "web_traffic": "Not published",
   "review_listings": "Not published",
   "press": "Not published",
   "users_praise": [],
   "users_flag": [],
   "best_for": "Law firms and legal professionals handling medical cases and litigation",
   "us_searches_month": null,
   "rubric_published": "6 of 8",
   "profile_url": null,
   "vs_url": null,
   "last_checked": "2026-08-15",
   "sources_on_file": 3
  },
  {
   "slug": "medilenz",
   "vendor": "Medilenz",
   "type": "Chronology AI",
   "site": "https://medilenz.com/",
   "primary_buyer": "Litigation teams and LNCs",
   "what_it_does": "AI medical chronologies, narrative summaries, demand letters and life care plans, with MD review",
   "source_citations": "Not published",
   "processing_model": "AI + Human QA (AI processing with MD physician oversight)",
   "human_review": "Included (40+ associated MD specialists for manual review)",
   "formats_read": "Not published",
   "turnaround": "3 business days standard; 24-hour expedited available on request",
   "export_formats": "Hyperlinked PDF reports linking back to source documents",
   "pricing_model": "Per-hour / Per-page",
   "published_price": "$25/hour or $0.10/page for AI Medical Chronology",
   "free_trial": "Not published",
   "security": "Not published",
   "founded": "Not published",
   "hq": "Not published",
   "funding": "Not published",
   "team": "Not published",
   "web_traffic": "Not published",
   "review_listings": "3.7/5 on Trustpilot (1 review)",
   "press": "Not published",
   "users_praise": [],
   "users_flag": [],
   "best_for": "High-Volume Litigation, Complex Medical History Chronologies",
   "us_searches_month": null,
   "rubric_published": "8 of 8",
   "profile_url": null,
   "vs_url": null,
   "last_checked": "2026-10-20",
   "sources_on_file": 0
  },
  {
   "slug": "mediscan",
   "vendor": "MediScan AI",
   "type": "Chronology AI",
   "site": "https://mediscan.ai/",
   "primary_buyer": "Medical-legal professionals",
   "what_it_does": "Editable summaries and chronologies",
   "source_citations": "Verify source pages per its site",
   "processing_model": "100% AI",
   "human_review": "None (explicitly no 'unseen reviewers'; physician retains oversight)",
   "formats_read": "Medical records",
   "turnaround": "Under 15 minutes for 1,000+ pages; 4-8 days reduced to 4 hours",
   "export_formats": "Not published",
   "pricing_model": "Subscription pricing per its site",
   "published_price": "Starter: $169/mo, 1,200 pages/mo included, overage 10¢/page. Pro: $445/mo, 3,500 pages/mo included, overage 7¢/page (labeled \"Most popular\").",
   "free_trial": "Not published",
   "security": "SOC 2, HIPAA, per its site",
   "founded": "2024",
   "hq": "Not published",
   "funding": "$1.4M raised, led by Tidal Ventures (GeekWire).",
   "team": "10 employees (Tracxn)",
   "web_traffic": "Similarweb shows traffic down 38.61% month over month (Similarweb).",
   "review_listings": "Not listed on G2 or Capterra as of 19 Oct 2026",
   "press": "GeekWire and Healthcare IT Today covered its raise",
   "users_praise": [
    "Summaries and chronologies with source verification",
    "Tidal Ventures led its $1.4M round"
   ],
   "users_flag": [
    "No review listing",
    "Traffic down 38.6% month over month on Similarweb"
   ],
   "best_for": "Small teams wanting fast summaries",
   "us_searches_month": null,
   "rubric_published": "7 of 8",
   "profile_url": null,
   "vs_url": null,
   "last_checked": "2026-08-15",
   "sources_on_file": 5
  },
  {
   "slug": "medlegal-ai",
   "vendor": "MedLegal AI",
   "type": "Legal AI suite",
   "site": "https://medicalai.law/",
   "primary_buyer": "Plaintiff attorneys, defense attorneys, legal nurse consultants, insurance carriers, claims professionals and medical-legal support staff (its published fit); case types beyond that are not broken out",
   "what_it_does": "AI platform of 23 tools for plaintiff and defense counsel, from records analysis and timelines to demand letters, deposition prep and settlement evaluation",
   "source_citations": "Not published",
   "processing_model": "AI-only software (\"AI reads every word\"); processing runs on AWS with Anthropic models, both under signed BAAs. A separate Physician Records Review service is sold per case",
   "human_review": "None stated for the software output. A separate paid Physician Records Review exists; who performs it and how is not stated",
   "formats_read": "Not published",
   "turnaround": "Case analysis and demand letters in under 60 seconds, opinion letters in seconds (homepage claims). Physician Records Review turnaround not stated",
   "export_formats": "PDF or Word (Records Analyzer page)",
   "pricing_model": "Monthly subscription tiers (same prices for plaintiff and defense), pay-per-case option, free account for 3 case analyses, 14-day free trial with no credit card, Courtroom AI add-on",
   "published_price": "Pro $49/month (1 user, fair use 5,000 pages/month); Professional $249/month (up to 5 users); Firm $499/month (unlimited users, priority support); $19 per case; Physician Records Review $1,400 per civil case or $1,000 per workers' compensation case; Courtroom AI add-on $99 to $299/month",
   "free_trial": "Not published",
   "security": "Not published",
   "founded": "Not published",
   "hq": "Not published",
   "funding": "Not published",
   "team": "Not published",
   "web_traffic": "Not published",
   "review_listings": "Not published",
   "press": "Not published",
   "users_praise": [],
   "users_flag": [],
   "best_for": "Plaintiff attorneys, defense attorneys, legal nurse consultants, insurance carriers, claims professionals and medical-legal support staff",
   "us_searches_month": null,
   "rubric_published": "7 of 8",
   "profile_url": null,
   "vs_url": null,
   "last_checked": "2026-08-15",
   "sources_on_file": 6
  },
  {
   "slug": "octopuslm",
   "vendor": "OctopusLM",
   "type": "Chronology AI",
   "site": "https://octopuslm.co/",
   "primary_buyer": "Attorneys and insurers",
   "what_it_does": "AI record review and chronologies",
   "source_citations": "Source-linked per its site",
   "processing_model": "100% AI",
   "human_review": "None disclosed",
   "formats_read": "Medical records",
   "turnaround": "Not published",
   "export_formats": "Word, Excel",
   "pricing_model": "Per-page pricing published on its site",
   "published_price": "$0.10/page pay-as-you-go; $250/month unlimited",
   "free_trial": "Not published",
   "security": "SOC 2, HIPAA, PIPEDA, per its site",
   "founded": "2023",
   "hq": "Saint John, New Brunswick, Canada",
   "funding": "Not published",
   "team": "Not published",
   "web_traffic": "Not published",
   "review_listings": "Not listed on G2 or Capterra as of 19 Oct 2026",
   "press": "Its pricing page is the primary public source",
   "users_praise": [
    "Published per-page pricing",
    "HIPAA"
   ],
   "users_flag": [
    "No review listing",
    "Funding not published"
   ],
   "best_for": "Buyers who want transparent per-page pricing",
   "us_searches_month": null,
   "rubric_published": "7 of 8",
   "profile_url": null,
   "vs_url": null,
   "last_checked": "2026-08-15",
   "sources_on_file": 5
  },
  {
   "slug": "parambil",
   "vendor": "Parambil",
   "type": "Mass tort AI",
   "site": "https://parambil.com/",
   "primary_buyer": "Mass tort and PI firms",
   "what_it_does": "Complex litigation evaluation and record review",
   "source_citations": "Not stated",
   "processing_model": "AI (agentic, built with Anthropic)",
   "human_review": "None disclosed",
   "formats_read": "Medical records",
   "turnaround": "Not published (qualitative '95% faster' claim)",
   "export_formats": "Word, PDF; single-page or full case-package exports",
   "pricing_model": "Not published",
   "published_price": "Not published",
   "free_trial": "Not published",
   "security": "Not published",
   "founded": "2023",
   "hq": "New York, NY",
   "funding": "$6M seed, with $2M pre-seed led by Daybreak Ventures (LinkedIn and Law.com).",
   "team": "Not published",
   "web_traffic": "Not published",
   "review_listings": "Not listed on G2 or Capterra as of 19 Oct 2026",
   "press": "Law.com and LinkedIn covered its funding.",
   "users_praise": [
    "AI for mass tort and complex litigation",
    "$6M seed, $2M pre-seed from Daybreak Ventures"
   ],
   "users_flag": [
    "No published pricing",
    "No review listing"
   ],
   "best_for": "Mass tort and complex litigation teams",
   "us_searches_month": null,
   "rubric_published": "5 of 8",
   "profile_url": "",
   "vs_url": "/compare/medrecords-vs-parambil/",
   "last_checked": "2026-08-15",
   "sources_on_file": 11
  },
  {
   "slug": "proplaintiff-ai",
   "vendor": "ProPlaintiff.ai",
   "type": "Plaintiff AI platform",
   "site": "https://proplaintiff.ai/",
   "primary_buyer": "Case types not published",
   "what_it_does": "Software platform in medical-legal record review",
   "source_citations": "Not published",
   "processing_model": "AI (agentic) + attorney review of drafts",
   "human_review": "Optional (attorney review before finalizing)",
   "formats_read": "Not published",
   "turnaround": "~9-12 minutes for demand letter drafts",
   "export_formats": "DOCX, PDF",
   "pricing_model": "Not published",
   "published_price": "Not published",
   "free_trial": "Not published",
   "security": "Not published",
   "founded": "2023",
   "hq": "Tempe, AZ",
   "funding": "Privately held, founder-owned (Kristopher Rezagholi and Jason Turnquist, co-founders)",
   "team": "2-10 employees",
   "web_traffic": "Not published",
   "review_listings": "4.9/5 on G2 (17 reviews); 3.5/5 on Trustpilot (1 review)",
   "press": "Not published",
   "users_praise": [],
   "users_flag": [],
   "best_for": "Personal injury plaintiff firms, solo to enterprise",
   "us_searches_month": null,
   "rubric_published": "6 of 8",
   "profile_url": null,
   "vs_url": null,
   "last_checked": "2026-08-15",
   "sources_on_file": 8
  },
  {
   "slug": "quench-smartchart",
   "vendor": "Quench (SmartChart)",
   "type": "Chronology AI",
   "site": "https://projectquench.ai/",
   "primary_buyer": "Case types not published",
   "what_it_does": "Software platform in medical-legal record review",
   "source_citations": "Not published",
   "processing_model": "AI + Human oversight",
   "human_review": "Included (implied: 'empower you, not replace you')",
   "formats_read": "Not published",
   "turnaround": "Not published (qualitative 'hours to minutes')",
   "export_formats": "Not published",
   "pricing_model": "Not published",
   "published_price": "Not published",
   "free_trial": "Not published",
   "security": "Not published",
   "founded": "2023",
   "hq": "San Francisco, CA",
   "funding": "Privately held / unfunded (self-funded by founding physicians and data scientists)",
   "team": "About 5 employees",
   "web_traffic": "Not published",
   "review_listings": "No public reviews found",
   "press": "Not published",
   "users_praise": [],
   "users_flag": [],
   "best_for": "IME physicians, PI/mass tort firms, insurers, WC boards",
   "us_searches_month": null,
   "rubric_published": "4 of 8",
   "profile_url": "",
   "vs_url": null,
   "last_checked": "2026-08-15",
   "sources_on_file": 4
  },
  {
   "slug": "recordsummary-ai",
   "vendor": "Record Summary AI",
   "type": "Record summary AI",
   "site": "https://recordsummary.ai/",
   "primary_buyer": "Legal and insurance teams",
   "what_it_does": "AI record summaries",
   "source_citations": "Not stated",
   "processing_model": "Self-serve AI: the customer uploads records and the AI writes the summary; no human step described",
   "human_review": "Not published",
   "formats_read": "Medical records",
   "turnaround": "Not published",
   "export_formats": "Summary downloadable for offline use; file format not stated",
   "pricing_model": "Not published",
   "published_price": "Not published",
   "free_trial": "Not published",
   "security": "HIPAA, per its site",
   "founded": "Not published",
   "hq": "Not published",
   "funding": "Not published",
   "team": "Not published",
   "web_traffic": "Not published",
   "review_listings": "Not listed on G2 or Capterra as of 19 Oct 2026",
   "press": "Its site is the primary public source",
   "users_praise": [
    "Fast AI record summaries",
    "HIPAA"
   ],
   "users_flag": [
    "No published pricing",
    "No review listing"
   ],
   "best_for": "Summary-first buyers",
   "us_searches_month": null,
   "rubric_published": "3 of 8",
   "profile_url": null,
   "vs_url": null,
   "last_checked": "2026-09-25",
   "sources_on_file": 1
  },
  {
   "slug": "recordreview-ai",
   "vendor": "RecordReview.ai",
   "type": "Chronology AI",
   "site": "https://recordreview.ai/",
   "primary_buyer": "Legal nurses, attorneys, and life care planners; sections for legal, insurance, service providers, healthcare (its published fit); case types beyond that are not broken out",
   "what_it_does": "AI-assisted indexing with expert human review for legal nurses, attorneys, and life care planners",
   "source_citations": "Not published",
   "processing_model": "AI-assisted indexing with expert human review",
   "human_review": "Expert human review, per its hero positioning",
   "formats_read": "Not published",
   "turnaround": "Not published",
   "export_formats": "Not published",
   "pricing_model": "Flat-rate, quote-driven; no plans or prices listed; free pilot offered",
   "published_price": "Not published",
   "free_trial": "Not published",
   "security": "Not published",
   "founded": "Not published",
   "hq": "Not published",
   "funding": "Not published",
   "team": "Not published",
   "web_traffic": "Not published",
   "review_listings": "Not published",
   "press": "Not published",
   "users_praise": [],
   "users_flag": [],
   "best_for": "Legal nurses, attorneys, and life care planners; sections for legal, insurance, service providers, healthcare",
   "us_searches_month": null,
   "rubric_published": "4 of 8",
   "profile_url": "",
   "vs_url": null,
   "last_checked": "2026-08-15",
   "sources_on_file": 1
  },
  {
   "slug": "siftmed",
   "vendor": "SiftMed",
   "type": "Claims and underwriting AI",
   "site": "https://siftmed.ca/",
   "primary_buyer": "Insurers and claims teams (Canada)",
   "what_it_does": "Medical claims review and summaries",
   "source_citations": "Source-linked per its site",
   "processing_model": "100% AI",
   "human_review": "None disclosed",
   "formats_read": "Medical records",
   "turnaround": "Under 30 minutes average per claim file",
   "export_formats": "Not published",
   "pricing_model": "Not published",
   "published_price": "Not published",
   "free_trial": "Not published",
   "security": "SOC 2, HIPAA, per its site",
   "founded": "Not published",
   "hq": "Not published",
   "funding": "Over $10M raised; latest round led by Staircase Ventures (siftmed.ca).",
   "team": "30 employees (PitchBook)",
   "web_traffic": "Not published",
   "review_listings": "Not listed on G2 or Capterra as of 19 Oct 2026",
   "press": "Entrevestor and Staircase Ventures covered the round",
   "users_praise": [
    "Trustworthy medical claims review for Canadian teams",
    "Over $10M raised, led by Staircase Ventures"
   ],
   "users_flag": [
    "No published pricing",
    "No review listing"
   ],
   "best_for": "Canadian claims teams",
   "us_searches_month": null,
   "rubric_published": "5 of 8",
   "profile_url": null,
   "vs_url": "/compare/medrecords-vs-siftmed/",
   "last_checked": "2026-10-20",
   "sources_on_file": 0
  },
  {
   "slug": "stream-claims",
   "vendor": "Stream Claims",
   "type": "Claims and underwriting AI",
   "site": "https://stream.claims/",
   "primary_buyer": "Case types not published",
   "what_it_does": "Software platform in medical-legal record review",
   "source_citations": "Not published",
   "processing_model": "AI + Human Expert-Led (\"Your Experts Lead. Stream Delivers.\")",
   "human_review": "Included (outputs generated for human expert review)",
   "formats_read": "Not published",
   "turnaround": "Not published (deployment: \"live in weeks, not months\")",
   "export_formats": "API and batch SFTP integration",
   "pricing_model": "Not published",
   "published_price": "Not published",
   "free_trial": "Not published",
   "security": "Not published",
   "founded": "2022",
   "hq": "San Francisco, California",
   "funding": "Venture-backed (YC S22 batch); raised $6.8M total, seed round led by Spark Capital",
   "team": "15 employees",
   "web_traffic": "Not published",
   "review_listings": "No public reviews found",
   "press": "Not published",
   "users_praise": [],
   "users_flag": [],
   "best_for": "Large enterprise carriers - structuring and auditing claim documents (medical records, demand packages)",
   "us_searches_month": null,
   "rubric_published": "5 of 8",
   "profile_url": null,
   "vs_url": null,
   "last_checked": "2026-08-15",
   "sources_on_file": 3
  },
  {
   "slug": "superinsight-ai",
   "vendor": "Superinsight AI",
   "type": "Chronology AI",
   "site": "https://superinsight.ai/",
   "primary_buyer": "Attorneys and disability/veterans firms",
   "what_it_does": "AI medical record review and chronologies",
   "source_citations": "Source-linked per its site",
   "processing_model": "100% AI",
   "human_review": "None ('only our AI processes the information')",
   "formats_read": "Medical records",
   "turnaround": "~15-60 minutes per report; as fast as ~1 hour per case",
   "export_formats": "Not published",
   "pricing_model": "Not published",
   "published_price": "$25-$80 per credit; $28-$54 per medical chronology",
   "free_trial": "Not published",
   "security": "SOC 2, HIPAA, per its site",
   "founded": "2023",
   "hq": "Not published",
   "funding": "About $620K (PitchBook)",
   "team": "8 employees (PitchBook)",
   "web_traffic": "Not published",
   "review_listings": "Not listed on G2 or Capterra as of 19 Oct 2026",
   "press": "PitchBook and its docs page are the primary sources",
   "users_praise": [
    "Use cases by practice area (disability, PI, veterans)",
    "SOC 2 and HIPAA"
   ],
   "users_flag": [
    "No published pricing",
    "About $620K raised, early stage"
   ],
   "best_for": "Disability, PI and veterans firms",
   "us_searches_month": null,
   "rubric_published": "7 of 8",
   "profile_url": null,
   "vs_url": null,
   "last_checked": "2026-08-15",
   "sources_on_file": 9
  },
  {
   "slug": "tackle-ai",
   "vendor": "TackleAI",
   "type": "Claims and underwriting AI",
   "site": "https://tackle.ai/",
   "primary_buyer": "Legal and insurance teams",
   "what_it_does": "Secure AI document and record review",
   "source_citations": "Not stated",
   "processing_model": "Proprietary AI platform run in its own secure environment, no third-party or cloud components",
   "human_review": "Not published",
   "formats_read": "Documents and records",
   "turnaround": "Chronologies in hours instead of weeks, per its product page; no numeric SLA",
   "export_formats": "Not published",
   "pricing_model": "Not published",
   "published_price": "Not published",
   "free_trial": "Not published",
   "security": "SOC 2, HIPAA, per its site",
   "founded": "Not published",
   "hq": "Not published",
   "funding": "About $9.79M over 7 rounds (CB Insights).",
   "team": "27-58 employees (Tracxn and PitchBook)",
   "web_traffic": "Similarweb shows traffic up 3.96% month over month (Similarweb).",
   "review_listings": "Not listed on G2 or Capterra as of 19 Oct 2026",
   "press": "CB Insights lists $9.79M over 7 rounds.",
   "users_praise": [
    "Security-first document and record review",
    "SOC 2 and HIPAA"
   ],
   "users_flag": [
    "No published pricing",
    "No review listing"
   ],
   "best_for": "Buyers with strict security needs",
   "us_searches_month": null,
   "rubric_published": "3 of 8",
   "profile_url": null,
   "vs_url": null,
   "last_checked": "2026-08-15",
   "sources_on_file": 2
  },
  {
   "slug": "trenthos-ime",
   "vendor": "Trenthos IME",
   "type": "IME compliance AI",
   "site": "https://trenthos.com/",
   "primary_buyer": "IME networks and individual specialists working Australian workers-compensation schemes (its published fit); case types beyond that are not broken out",
   "what_it_does": "Compliance infrastructure for medico-legal AI: reads the letter of instruction and records, builds page-referenced chronologies, and drafts a report in minutes",
   "source_citations": "Not published",
   "processing_model": "6-stage pipeline: ingest, OCR, extraction, chronology, draft, export. A sliding-window extractor proposes typed facts (events, investigations, treatments, prior opinions) with dates, providers, page numbers, and verbatim quotes",
   "human_review": "AI is \"forbidden, at the prompt level and in code, from originating a diagnosis, causation, prognosis or impairment rating\"; the doctor examines, reasons, and opines. Reviewers accept, reject, or edit each sentence, and exports are blocked until flagged sentences are reviewed",
   "formats_read": "Not published",
   "turnaround": "Drafts the full report in minutes (no specific SLA published)",
   "export_formats": "DOCX with the examiner's signature image, plus PDF where available; every export kept as an immutable version",
   "pricing_model": "Per report, no subscription required to start; first case is free",
   "published_price": "Not published",
   "free_trial": "Not published",
   "security": "Not published",
   "founded": "Not published",
   "hq": "Not published",
   "funding": "Not published",
   "team": "Not published",
   "web_traffic": "Not published",
   "review_listings": "Not published",
   "press": "Not published",
   "users_praise": [],
   "users_flag": [],
   "best_for": "IME networks and individual specialists working Australian workers-compensation schemes",
   "us_searches_month": null,
   "rubric_published": "6 of 8",
   "profile_url": "",
   "vs_url": null,
   "last_checked": "2026-08-15",
   "sources_on_file": 2
  }
 ]
}