# Medrecords AI — Find the fact that decides the case

> Medrecords AI reads the whole file — PDFs, scans, handwriting, DICOM imaging — and returns a cited chronology and summary you can defend in deposition.

Canonical page: https://medrecords.ai/

---
NewWe now read the actual MRI and CT imaging — not just the radiologist's one-page report. [See how →](https://medrecords.ai/product/imaging/)
Review the full file · trace output to source

## Find the fact that decides the case — in *minutes*, not weeks.

Medrecords AI organizes large files of PDFs, scans, handwriting, and native DICOM imaging into source-linked chronologies, summaries, and report drafts. Legal, insurance, and IME teams can inspect the supporting record, correct the draft, and keep qualified professionals responsible for every opinion and downstream decision.

[Book a demo](https://medrecords.ai/demo/)
 [Test a file ](https://medrecords.ai/test-a-file/?src=home)
HIPAA

 SOC 2 audit-ready

 Your data never trains an AI model
MRI_L-spine.zip
 · DICOM
Reading
Extracted findings
 282 / 282 pages
Diagnosis
L4–L5 disc herniation
[MRI·s3·sl18]
Onset
03/14/2025
[p.412]
Treating provider
Orthopedic Surgeons PA
[p.129]
Prior injury
None documented
[p.06]
Treatment gap
6 weeks — flagged
[gap]
Chronology forming7 events
03/14MRI 03/2205/14
**Verifiable AI Citations** — supporting material stays inspectable
 Cited
The impact
Miss *nothing*. Cite *everything*. Pay *less*.
minutes
to the deciding fact — not weeks of reading
10¢ /page
published Self-Service rate — compare total workflow cost
10,000+
pages per file — read, deduped, indexed
Source-linked
supporting pages and images stay available for review
Designed for **Legal** · **Insurance & Claims** · **IME / Medical-Legal** workflows, with source inspection and professional review kept in the loop.
Multi-page PDFs

 Scanned records

 Handwritten notes

 DICOM imaging

 Operative reports

 Radiology reads

 Lab panels

 Discharge summaries

 Progress notes

 Billing / EOBs

 Pathology

 Prescriptions

 Multi-page PDFs

 Scanned records

 Handwritten notes

 DICOM imaging

 Operative reports

 Radiology reads

 Lab panels

 Discharge summaries

 Progress notes

 Billing / EOBs

 Pathology

 Prescriptions
The shared demo case · #IME-4812 · Adams, T.
[Walk through the file](https://medrecords.ai/product-tour/)
342
Pages in the file
Two packets, indexed page by page.
11
Duplicates removed
Exact copies collapsed before review.
p.140
Wrong-patient page
Flagged and quarantined for review.
2,140
Words from a 14-min dictation
Drafted into 38 template fields.

### The risk isn't slow review.
It's the fact you missed.

Every file hides the one fact that decides it. Manual, page-by-page review is exactly where that fact goes missing, buried in 10,000 unsorted pages under a deadline. It happens the same way every week, in 4 steps:

01 · The dump
 10,412 pg
PDF
 fax
 handwriting
 DICOM
10,000 pages land at once.
Unsorted, duplicated, part handwritten, part on a disc nobody opens.

02 · The skim
 recall fades
deadline: Friday
The deadline decides what gets read.
Reviewers skim, sections go untouched, and the disc stays in the envelope.

03 · The miss
 1 line
prior lumbar injury — p.3,412
1 line changes the outcome.
Buried mid-record, invisible until the other side cites it first.

04 · The bill
 40¢/pg
$4,000
40¢/pg × 10,000 pg, outsourced
weeks late
 uncited
 no imaging
$4,000 a file, for an uncited read.
Outsourced review comes back in weeks, with no citations and no imaging. We charge a flat 10¢.

For claims teams
Cycle time slips, and treatment-gap leakage pays out before anyone catches it.

[The claims lane ](https://medrecords.ai/solutions/insurance-carriers/)
For examiners
Evenings go to collating scans instead of evaluating the case.

[The IME lane ](https://medrecords.ai/solutions/ime/)
For PI attorneys
The demand stalls on sorting, while the ambush fact waits at deposition.

[The PI lane ](https://medrecords.ai/solutions/personal-injury/)
Medrecords AI reads all of it, every page and every image, and shows you what matters, with the receipts.

The solution

### Unstructured records in. Structured, cited reports out.

1 engine reads every page and every image (PDFs, scans, handwriting, and native DICOM imaging), rebuilds the case as a chronology, and locks each line in the output to the exact source page it came from, so what leaves this system is structured, cited, and ready to sign.

What arrives
PDF
fax
handwriting
DICOM
10,000+ pg
1 engine
Medrecords AI
reads 100% — pages & images
OCR routing, per page
dedup & claimant sort
DICOM imaging read
timeline build
citation lock, every line
flagged when unsure — never guessed
What leaves
Chronology
05/30/24X-Ray, Pelvisp.412
06/05/24MRI L-spineMRI·s3·sl18
06/12/24Treatment gapflag
Record Q&A
Prior injuries? **Yes — 2019 lumbar strain** p.1,388
IME reportyour letterhead
Attested & signedPDF · DOCX · CRM
Inside the engine:
 [Records OCR](https://medrecords.ai/product/ocr/)
 [Imaging review](https://medrecords.ai/product/imaging/)
 [Chronology](https://medrecords.ai/product/chronology/)
 [Record Q&A](https://medrecords.ai/product/qa/)
 [Verifiable citations](https://medrecords.ai/product/citations/)
 [Summary reports](https://medrecords.ai/product/summaries/)
How it works

### From any record to
a defensible answer.

1 product story, told once: upload any format (PDFs, scans, handwriting, or DICOM imaging) and it reads everything; the chronology builds itself from what's found, and the report comes out cited and deposition-ready, without a separate review pass.

#### Any format in. Nothing skipped, nothing guessed.

Multi-page PDFs, scanned records, handwritten notes, full DICOM studies. Each page routes to the right OCR engine, duplicates are removed, co-mingled claimants are separated, and anything low-confidence is flagged for review, not guessed.

Medical Records OCR

#### We read the imaging — not just the report.

Multi-page PDFs. Scanned records. Handwritten notes. And full DICOM imaging studies with 3D reconstruction. One platform reads them all and reasons across them — a capability most tools in the category simply don't have.

Intelligent OCR routing
Each page goes to the right engine; anything low-confidence is flagged for review, not guessed.

Handwriting, actually handled
A multi-model handwriting pipeline reads what other tools skip.

DICOM-native + 3D reconstruction
Ingest imaging studies, view them in an integrated PACS viewer, and place imaging events on the timeline.

Medical Imaging Review

#### A medical timeline that builds itself.

Clinical events extract automatically into a color-coded, searchable chronology, every node synced to the source page or image it came from. Scan a 10,000-page history at a glance.

Diagnoses, treatments, providers & dates — auto-detected
Imaging events placed inline — still rare in the category
Gaps & contradictions surfaced and flagged
Filter, merge & de-duplicate across provider files — one click
Medical Chronology
 Medical Record Q&A
[Explore the Chronology ](https://medrecords.ai/product/chronology/)

#### From record to attested report.

A rich-text studio with inline citations and tracked changes. Load your own template and letterhead, attest, export to PDF or DOCX, or push straight to your CRM.

Medical Summary ReportsVerifiable AI Citations
Intake · 2025-0412 · Ochoa, M.
 Reading — p. 1,462 / 1,847
StMarys_ED_records.pdf · 214 pp
 OrthoWest_chart.pdf · 1,128 pp
 MRI_L-spine.zip · 24 slices
DocumentEngineConfidence
op_report.pdf36 ppFast OCR99.2
intake_scan.jpg2 ppLLM OCR97.8
nurse_note_03-19.png1 ppHandwriting91.4
billing_ledger.pdf44 ppVision Tables98.6
MRI_L-spine.zipDICOMPACS ingest→ Series 3
**1,847** pp received → **612** unique
 3 co-mingled claimants separated
612 unique
 1,221 duplicates removed
 14 pp flagged, not guessed
MRI · L-Spine · Ochoa, M.

 T2 SAG
 PACS viewer
A
 P
 T2 TSE · SAG
 IM 18
L1
L2
L3
L4
4.2 mm
L5
S1
SERIES3 / 4
SLICES24 · 3.0 mm
ACQUIRED03/22/2025
SOURCESt. Mary's Imaging
AI FINDING · SL 18
L4–L5 posterolateral herniation · 4.2 mm
S3
 *15**16**17**18**19**20*
 slice 18 / 24
Report ⇄ image check
 Concordant
REPORT"…suspect L4–L5 disc herniation; MRI recommended." · p.129
 IMAGE4.2 mm posterolateral herniation, left L5 contact · MRI·s3·sl18
DICOM-native — the image itself, not just the report
 On the timeline — 03/22
Case chronology
 Ochoa, M. · 2025-0412
All · 212Treatment · 118Imaging · 9Flags · 3
 MAR — MAY 2025
MAR 2025
Initial ED visit
 St. Mary's Medical Ctr · Dr. K. Rao
Acute low-back pain following rear-end MVA
03/14
 p.412
Initial ED visit
 p.412
Orthopedic consult
 OrthoWest Spine · Dr. T. Okafor
Positive SLR left; lumbar MRI ordered
03/19
 p.129
Orthopedic consult
 p.129
MRI L-spine
 St. Mary's Imaging
L4–L5 posterolateral herniation · 4.2 mm
03/22
 MRI·s3
MRI L-spine
 MRI·s3
APR 2025
PT — sessions 1–4
 Meridian Physical Therapy
Partial relief; home exercise program issued
04/02
 p.201
PT — sessions 1–4
 p.201
6 weeks — no documented care · 04/09 → 05/14
flag §4
6 weeks — no documented care · 04/09 → 05/14
 flag §4
MAY 2025
Follow-up + ESI injection
 OrthoWest Spine · Dr. T. Okafor
Persistent left L5 radiculopathy
05/14
 p.318
Follow-up + ESI injection
 p.318
Treatment
 Imaging
 Gap / flag
 every node synced to its source page
Harmon & Reyes LLP
 YOUR LETTERHEAD
Claim Overview Report — Ochoa v. Delgado
 Attested
DRAFT v4 · TRACKED CHANGES ON · 12 PP
Ms. Ochoa presented to St. Mary's ED on 03/14/2025 with acute low-back pain following a rear-end collisionp.412. MRI of 03/22/2025 demonstrates a moderate 4.2 mm L4–L5 posterolateral herniationMRI·s3·sl18. No prior injury to the region is documentedp.06. The 6-week gap in careflag is addressed in §4.

edit — A. Reyes · 2:14 PM
§1 Incident · §2 Treatment · §3 Imaging · §4 Gaps & causation
p.412 · Progress Note — St. Mary's
 Cited
"…acute onset of low-back pain radiating to the left lower extremity. Onset dated to 03/14/2025."
CLICK ANY CITATION TO OPEN ITS SOURCE
Export PDFDOCXPush to CRM
 31 citations · 0 uncited
Verifiable AI Citations

### If we can't cite it, we don't say it.

Every sentence Medrecords AI writes is locked to its source. **Click any citation** to jump to the exact page (or the exact DICOM slice) it came from. No black box. An AI evaluation framework scores every output, and low-confidence findings are flagged, not hidden.

"AI does the reading. You make the calls — always."

[How verifiable citations work ](https://medrecords.ai/product/citations/)
Interpretive summary
Claimant reports onset of low-back pain on 03/14/2025, with an MRI confirming an L4–L5 disc herniation. No prior injury to the region is documented. A 6-week treatment gap appears between visits.

4 citations · 0 uncited claims
Progress Note — 03/14/2025 · p.412
 Cited
"Patient presents following MVA with acute onset of low-back pain radiating to the left lower extremity. Onset dated to 03/14/2025."

Two verification layers · every page, not a sample
EXTRACT
LAYER 1 · DETERMINISTIC
Citation verification
Every fact span-matched to its source page: mechanical, exhaustive, on every extraction.

LAYER 2 · INDEPENDENT
Cross-model check
A second, independent model checks every finding against the source text: models cross-examining models.

VERIFIED · p.847 ✓
Accuracy is the vanity metric. False-pass rate is the one that matters. Releases are gated on it: in claims and litigation, one uncaught error costs more than a thousand caught ones. No per-page review fees, no sampled QA; your experts still make the calls.

### The whole platform. No add-ons.

Every subscription is the full system, not a starter tier — OCR, imaging, chronology, citations, claims triage, and reporting all included at one flat per-page rate, with nothing gated behind a separate upsell or add-on module.

Built for
 [Medical Evaluators](https://medrecords.ai/solutions/medical-evaluators/)
 ·
 [Law Firms](https://medrecords.ai/solutions/law-firms/)
 ·
 [Insurance Carriers](https://medrecords.ai/solutions/insurance-carriers/)
 ·
 [TPAs](https://medrecords.ai/solutions/tpas/)
Showing 9 of 102
[

 Medical Records OCR
Reads any format — PDFs, scans, faxes — into a clean text layer; imports straight from iManage.

In action
INPUT · FAXED SCAN
IMG_2891.pdf — 40pp
OUTPUT · TEXT LAYER
40pp read, 0 skipped
](https://medrecords.ai/product/ocr/)
[

 Handwritten Medical Record Extraction
Context-aware extraction of handwritten notes, intake forms, and margin annotations — structured, cited, searchable.

In action
Handwritten intake note — low confidence
Context-matched to the typed chart
Extracted, cited to the page
](https://medrecords.ai/product/handwritten-medical-record-extraction/)
[

 Medical Table Extraction
Complex medical tables (labs, med lists, billing grids) read by vision AI into structured, queryable rows.

In action
Lab panel table — 14 rows, 6 columns
Values mapped to structured fields
Zero manual retyping
](https://medrecords.ai/product/medical-table-extraction/)
[

 Medical Record Deduplication
Removes duplicate entries across merged provider files in 1 click, leaving one canonical record.

In action
342pp scanned across 2 packets
11 duplicate pages found
Removed, originals kept
](https://medrecords.ai/product/medical-record-deduplication/)
[

 Co-Mingled Records Detection
Detects pages from the wrong patient and quarantines them before analysis — privacy incident prevention.

In action
p.140 — patient name mismatch
 flag
Page quarantined automatically
Flagged for manual confirmation
](https://medrecords.ai/product/co-mingled-records-detection/)
[

 Medical Imaging Review
DICOM-native ingestion, integrated PACS viewer, 3D reconstruction, findings flagged to the page.

In action
MRI_L-spine.zip — DICOM study
Opened in the built-in PACS viewer
Finding extracted, cited to slice
](https://medrecords.ai/product/imaging/)
[

 AI Medical Dictation Transcription
Transcribes dictated audio into structured, cited text — the audio sibling of Handwritten Extraction.

In action
14-min dictation received
Transcribed — 2,140 words
Mapped into report fields
](https://medrecords.ai/product/ai-medical-dictation-transcription/)
[

 Multilingual Records & Translation
Reads and translates foreign-language records with side-by-side original view — every translated line cites the original page.

In action
Foreign-language chart ingested
Side-by-side translation rendered
Terms matched to English
](https://medrecords.ai/product/medical-record-translation/)
[

 Medical Chronology
Extracts clinical events into a color-coded timeline, every entry synced to its source page.

In action
2/14 — ER visit, right knee
 p.4
3/02 — MRI ordered
 p.18
4/18 — Arthroscopic surgery
 p.61
](https://medrecords.ai/product/chronology/)
[

 Supplemental Record Review
New record batches arrive pre-deduplicated, summarized, and flagged where they agree, conflict, or add.

In action
New batch — 38 pages arrived
Cross-checked against existing file
Agreements & conflicts flagged
](https://medrecords.ai/product/supplemental-record-review/)
[

 Medical Records Chat
Ask the record anything — 1 file or 1,000; multi-step investigative answers, every statement cited.

In action
"Any gap in treatment since the ER visit?"
Multi-step search across the file
Answer cited to source page
](https://medrecords.ai/product/qa/)
[

 Medical Record Search
Plain-English semantic search over the whole file, every hit linked to its page.

In action
Query: "right knee arthroscopy"
Matched across 342 pages
Every hit linked to its page
](https://medrecords.ai/product/medical-record-search/)
[

 Smart List View
Auto-categorized, source-linked lists of every diagnosis, medication, procedure, and provider.

In action
Diagnoses, meds, procedures scanned
Auto-categorized into lists
Each entry source-linked
](https://medrecords.ai/product/smart-lists/)
[

 Reasoning Modes
Three answer modes — Evidence-Based, Interpretive, Extractive — every line cited.

In action
Mode: Evidence-Based selected
Answer built from cited findings only
Switch to Interpretive for context
](https://medrecords.ai/product/reasoning-modes/)
[

 Verifiable AI Citations
An AI evaluation framework scores every output and traces citations end to end; unsourced claims get flagged and corrected.

In action
"Full ROM restored" — no source
 flag
Traced to p.44 instead
 ✓
Statement corrected
](https://medrecords.ai/product/citations/)
[

 Missing Records Identification
Cross-references treatment history against the file and flags visits, providers, or date ranges that should exist but weren't produced.

In action
Treatment history cross-referenced
Gap found — referral, no visit note
 flag
Flagged as missing from the file
](https://medrecords.ai/product/missing-records-identification/)
[

 Pain & Range of Motion Analysis
Extracts ROM measurements and pain-scale ratings from every visit and lines them up across the file.

In action
ROM measurements extracted per visit
Pain-scale ratings lined up over time
Trend: improving since 4/02
](https://medrecords.ai/product/pain-range-of-motion-analysis/)
[

 Condition Progression Tracking
Follows one diagnosed condition across every visit that touches it and reads out a trend — worsening, stable, improving.

In action
Right knee tracked across 7 visits
Trend read: improving since 4/02
Each point cited to its visit note
](https://medrecords.ai/product/condition-progression-tracking/)
[

 Work Limitation Extraction
Extracts stated work/activity restrictions and return-to-work determinations, cited to source.

In action
"No lifting over 10 lbs" — p.211
Return-to-work note flagged
Restrictions listed chronologically
](https://medrecords.ai/product/work-limitation-extraction/)
[

 Plain-Language Medical Term Definitions
Inline, cited plain-language definitions for clinical terms across every platform output.

In action
"Arthroscopic synovectomy" flagged
Plain-language definition inserted
Cited to its source term
](https://medrecords.ai/product/plain-language-medical-term-definitions/)
[

 Provider List Extraction
Every treating provider extracted and listed, specialty-enriched, from #11's engine.

In action
Every treating provider scanned
Specialty enriched per provider
List exported, source-linked
](https://medrecords.ai/product/provider-list-extraction/)
[

 Record Annotation & Collaborative Review
Highlights, notes, and tags on record pages, shared across the team — every annotation pinned to its page, work product kept separate.

In action
Highlight added — p.44
Note shared with reviewing colleague
Kept separate from the record
](https://medrecords.ai/product/medical-record-annotation/)
[

 Medical Summary Reports
Rich-text report studio with inline citations, tracked changes, and your letterhead; DOCX export.

In action
Draft opened in the report studio
Inline citations added automatically
Tracked changes, your letterhead
](https://medrecords.ai/product/summaries/)
[

 Custom Report Builder
Jurisdiction- and line-specific templates; edit in-platform, export DOCX/PDF, deliver via API or SFTP.

In action
Template — your letterhead
38 fields auto-filled
Delivered via SFTP
](https://medrecords.ai/product/custom-report-builder/)
[

 Hyperlinked Exports
Word and HTML exports with live hyperlinks back to every source page.

In action
Word export generated
Every citation is a live hyperlink
Click a line, land on the source
](https://medrecords.ai/product/hyperlinked-exports/)
[

 Document Sorting & Packet Builder
Configurable rules sort raw claim documents by date, provider, or category, then assemble IME/QME/MSA-ready packets in one click.

In action
2 packets — 342 raw pages
Sorted by date, provider, category
IME-ready packet assembled
](https://medrecords.ai/product/document-sorting-packet-builder/)
[

 Narrative Summary
Prose-form case narrative, SOAP or plain-language, drafted from the same data as #14/#15.

In action
SOAP format selected
Prose narrative drafted from the file
Every statement cited to source
](https://medrecords.ai/product/narrative-summary/)
[

 PDF Sorting & Merging
Merges and sorts a raw batch of PDFs into one ordered file, from #27's engine.

In action
3 raw batches received
Merged and sorted into one file
Ordered by date, ready for review
](https://medrecords.ai/product/pdf-sorting-merging/)
[

 Medical Record Bookmarking
Generates a bookmarked PDF outline from #27's existing sort rules.

In action
Sort rules applied
Bookmarked outline generated
Jump to any provider or date
](https://medrecords.ai/product/medical-record-bookmarking/)
[

 Litigation Chart & Special Report Packages
9 named litigation chart types as one template library on #15's engine.

In action
Chart type selected — 1 of 9 templates
Populated from the cited record
Exported, ready to file
](https://medrecords.ai/product/litigation-chart-packages/)
[

 Bates Numbering & Stamping
Sequential Bates numbers + confidentiality legends, stamped automatically and held stable through dedup, sorting, and re-production.

In action
342 pages in the production set
Sequential Bates numbers applied
Confidentiality legend stamped
](https://medrecords.ai/product/bates-numbering-stamping/)
[

 PHI Redaction & Production Prep
Auto-detects PHI/PII, other-patient identifiers, and privileged content; suggests redactions for approval; produces a logged, redacted production set.

In action
PHI/PII auto-detected
 flag
Redactions suggested for approval
Logged, redacted set produced
](https://medrecords.ai/product/medical-records-redaction/)
[

 Deposition Digest
Color-coded, page-by-page deposition digest plus narrative summary — editable, cited.

In action
pp. 1–40 tagged by topic
4-color topic key applied
Narrative synced to pages
](https://medrecords.ai/product/deposition-digest/)
[

 Case Outcome Benchmarks
Success and value ranges from comparable resolved cases — evidence-derived, work-product separated.

In action
Comparable cases matched
Value range — evidence-derived
Work product stays separate
](https://medrecords.ai/product/benchmarks/)
[

 Settlement Demand Letter
Drafts a cited, jurisdiction-ready demand letter straight from the record — diagnoses, treatment, billing, and future care, no blank page.

In action
Diagnoses, treatment, billing pulled
Cited demand letter drafted
Jurisdiction-ready format
](https://medrecords.ai/product/settlement-demand-letter/)
[

 Mass Tort Batch Processing
Runs chronology, extraction, and qualification criteria across an entire docket at once; flags bellwether candidates.

In action
Docket of cases queued
Chronology run across the batch
Bellwether candidates flagged
](https://medrecords.ai/product/mass-tort-batch-processing/)
[

 Case Strength & Weakness Signal Flagging
Flags favorable and unfavorable fact patterns in the record, cited — signals, not a verdict.

In action
Record scanned for fact patterns
Favorable & unfavorable signals flagged
 flag
Signals, not a verdict
](https://medrecords.ai/product/case-strength-weakness-signal-flagging/)
[

 Record Version & Alteration Detection
When near-duplicate pages differ, the delta is the finding — surfaces late amendments and altered entries, side by side.

In action
Two near-duplicate pages compared
Delta surfaced — one entry altered
 flag
Shown side by side, cited
](https://medrecords.ai/product/record-alteration-detection/)
[

 Deposition & Cross-Exam Prep Outlines
Drafts topic-organized deposition question outlines from the digest and record — every question cited to the page it's built on.

In action
Digest and record cross-referenced
Topic-organized outline drafted
Every question cited to its page
](https://medrecords.ai/product/deposition-prep-outlines/)
[

 Secure DICOM Study Sharing
Send any imaging study via expiring secure link — no discs, no software installs for the recipient.

In action
MRI_L-spine.zip selected
Expiring secure link generated
No disc, no software needed
](https://medrecords.ai/product/secure-dicom-sharing/)
[

 Medical Literature & Standard-of-Care Reference Matching
Matches peer-reviewed literature and standard-of-care guidelines to the record's diagnoses, cited.

In action
Diagnosis matched to guidelines
Peer-reviewed literature linked
Standard of care referenced, cited
](https://medrecords.ai/product/medical-literature-standard-of-care-matching/)
[

 AI-Assisted Life Care Plan Drafting
Drafts a cited life care plan by category and cost range from the record — ready for a planner's certification.

In action
Categories drafted from the record
Cost ranges attached per category
Ready for planner's certification
](https://medrecords.ai/product/life-care-plan-drafting/)
[

 AI Case Merit & Standard-of-Care Assessment
Scores case merit or standard-of-care deviation from #34/#35's signals — provisional until a professional signs off.

In action
Signals from #34/#35 scored
Provisional score drafted, cited
Sign-off gate — Approve/Revise/Reject
](https://medrecords.ai/product/case-merit-assessment/)
[

 IME Report Drafting
Drafts the examiner's IME report from exam findings and the case record, via #15's engine.

In action
Findings imported — Case #IME-4812
Draft generated, 6 sections cited
Opinion — left blank for examiner
](https://medrecords.ai/product/ime-report-drafting/)
[

 Automated Claims Triage
Bulk-processes claim portfolios against your criteria; only claims needing human judgment reach a human.

In action
INTAKE
128 claims queued
NEEDS A HUMAN
9 flagged, 119 closed
](https://medrecords.ai/product/automated-claims-triage/)
[

 Claims Billing Ledger
Every billed amount traces to a source page — click any dollar figure, land on the document that justifies or contradicts it.

In action
Every billed line logged
Traced to its source page
Click any figure to verify
](https://medrecords.ai/product/claims-billing-ledger/)
[

 Cost & Care Tables
Billing roll-ups and future-care cost tables, ready for life-care plans and specials.

In action
Billing rolled up by category
Future-care costs tabled
Ready for life-care plan input
](https://medrecords.ai/product/cost-and-care-tables/)
[

 Evidence Request Automation
Tracks outstanding record requests with tiered follow-up escalation and a full audit trail.

In action
Outstanding record request tracked
Tiered follow-up escalation applied
Status logged automatically
](https://medrecords.ai/product/evidence-request-automation/)
[

 Demand Package Audit
Checks every diagnosis, treatment claim, and billed figure in an incoming demand against the record behind it.

In action
Incoming demand package checked
Diagnoses, billed figures verified
Discrepancies flagged, cited
 flag
](https://medrecords.ai/product/demand-package-audit/)
[

 Medical Billing Summary
One-page rolled-up billing summary, grouped by provider/date/category, from #21/#22's data.

In action
Charges grouped by provider, date
One-page rollup generated
Every figure source-linked
](https://medrecords.ai/product/medical-billing-summary/)
[

 Fraud & Inconsistency Signal Detection
Flags intra-record contradictions and cross-claim provider patterns (cloned notes, upcoding signals) — cited signals for SIU review, not accusations.

In action
Cross-claim provider pattern checked
Intra-record contradiction found
 flag
Flagged for adjuster review
](https://medrecords.ai/product/claims-fraud-signal-detection/)
[

 Billed-Charge Reasonableness Benchmarking
Compares every billed amount to UCR/geographic benchmarks and flags outliers with percentile context.

In action
Line flagged — above benchmark range
Checked vs. UCR + geographic index
Informs negotiation, never auto-reduces
](https://medrecords.ai/product/medical-bill-review/)
[

 Treatment Relatedness & Compensability Signals
Tags each visit and charge as related/unrelated/disputed to the covered incident, cited — adjudicator signs off.

In action
Each visit tagged to the claim
Related / unrelated / disputed
Adjuster makes the final call
](https://medrecords.ai/product/treatment-relatedness-compensability/)
[

 AI-Assisted Medicare Set-Aside Drafting
Drafts the WCMSA allocation from the record at Medicare fee-schedule rates — ready for a certified MSA specialist's sign-off.

In action
Record read at fee-schedule rates
WCMSA allocation drafted, cited
Ready for specialist's sign-off
](https://medrecords.ai/product/medicare-set-aside-drafting/)
[

 Medical Data API & Analytics
REST API, CRM token exchange, webhooks — per-case usage metering for bill-back.

In action
REST API call — case export
Webhook fired on completion
Usage metered per case
](https://medrecords.ai/product/medical-data-api/)
[

 Command Workspace
Source, timeline, and report on one screen — a synced 3-pane workspace.

In action
Source, timeline, report — one screen
Synced 3-pane workspace
No tab-switching to cross-check
](https://medrecords.ai/product/command-workspace/)
[

 Audit Trail & Chain of Custody
Immutable log of every ingest, access, edit, and export — exportable custody report per production.

In action
09:02 — ingest, packet 1 of 2, 342pp
SHA-256 hash logged, immutable
Export → custody report, per production
](https://medrecords.ai/product/audit-trail-chain-of-custody/)
[

 Secure Case File Sharing
Expiring, watermarked, view-only links to any cited output — no login or install for the recipient.

In action
Cited output selected
Expiring, watermarked link generated
View-only, no login needed
](https://medrecords.ai/product/secure-case-sharing/)

[

 Provider Network Analytics & Performance Benchmarking BETA
Cross-claim provider pattern view benchmarked against specialty, geography, and claim-type peer cohorts, drillable to the underlying evidence.

In action
Provider patterns vs. peer cohort
Routed to SIU or review queue
](https://medrecords.ai/product/provider-network-analytics/)
[

 Portfolio Recovery Analytics & Executive Reporting BETA
Aggregates cited billing, provider, and inconsistency signals into an estimated recoverable-value range with a confidence level and executive-ready report.

In action
Low / base / high recovery range
Every estimate links to evidence
](https://medrecords.ai/product/claims-recovery-analytics/)
[

 Cross-Case Pattern Intelligence BETA
Builds tenant-separated, privacy-preserving baselines from your own processed cases to sharpen duplicate detection, anomaly signals, and benchmarks over time.

In action
Tenant-separated baselines built
No cross-tenant data exposure
](https://medrecords.ai/product/cross-case-pattern-intelligence/)
[

 Anatomical Findings Map BETA
Plots injuries, symptoms, diagnoses, and imaging findings on an interactive anatomical map, with laterality and click-to-source evidence.

In action
Findings pinned to body location
Laterality never inferred
](https://medrecords.ai/product/anatomical-findings-map/)
[

 Clinical Metrics & Vitals Trending BETA
Normalizes recurring clinical measurements across providers and visits, plots them over time, and keeps every point linked to its source.

In action
Vitals & labs trended over time
Reference ranges preserved
](https://medrecords.ai/product/clinical-metrics-vitals-trending/)
[

 Negative Findings & Documentation-Gap Flagging BETA
Surfaces explicit negatives and expected-but-undocumented facts, keeping 'not documented' clearly separate from 'did not happen.'

In action
Expected-but-missing facts flagged
Not-documented ≠ did-not-happen
](https://medrecords.ai/product/negative-findings-detection/)
[

 Structured Patient History & Recovery-Factor Extraction BETA
Extracts social, family, occupational, allergy, prior-accident, prior-surgery, and pre-existing-condition history into one evidence-linked profile.

In action
Social/occupational/prior history extracted
Patient-reported vs. clinician-confirmed
](https://medrecords.ai/product/patient-history-recovery-factors/)
[

 Condition Severity Triage & Impairment Rundown BETA
Groups conditions by body system with provisional High/Medium/Low review priority, and lets reviewers confirm or override every tag.

In action
High/Medium/Low tags, provisional
Reviewer confirms every tag
](https://medrecords.ai/product/condition-severity-triage/)
[

 Work Capacity & Functional Restriction Tracking BETA
Builds a dated trajectory of work status, functional limitations, rehab goals, assistive devices, and standardized outcome measures.

In action
Work-status trajectory, dated
Recommended vs. actual tracked
](https://medrecords.ai/product/work-capacity-functional-restriction-tracking/)
[

 Incoming Demand Letter Intelligence & Structuring BETA
Parses demanded actions, deadlines, policy requests, allegations, injuries, treatments, and billing assertions into cited fields ready for verification.

In action
Demanded actions & deadlines parsed
Deadline requires confirmation
](https://medrecords.ai/product/incoming-demand-letter-intelligence/)
[

 Medical Record Knowledge Graph & Structured Data Layer BETA
Converts raw pages into a structured evidence graph of documents, entities, events, and relationships, with provenance at every layer.

In action
Pages → entities → relationships
Extracted vs. inferred, labeled
](https://medrecords.ai/product/medical-record-knowledge-graph/)
[

 Review Workflow Builder & Human Approval Gates BETA
Configures evidence checks, routing, exception queues, deadlines, and mandatory approval steps without letting AI make the final decision silently.

In action
Visual routing + approval gates
No autonomous final decision
](https://medrecords.ai/product/review-workflow-builder/)
[

 Neutrality Firewall BETA
Blocks outcome valuation, settlement ranges, and advocacy-toned language from ever entering the evaluator's workspace.

In action
Valuation data blocked from evaluator view
Every exclusion logged
](https://medrecords.ai/product/neutrality-firewall/)
[

 Causation & Apportionment Graph BETA
Maps the causal chain from injury event through symptoms, imaging, treatment, priors, and alternative causes, cited at every link.

In action
Event → symptom → treatment chain mapped
Competing causes shown, cited
](https://medrecords.ai/product/causation-apportionment-graph/)
[

 Impairment Rating Copilot BETA
Drafts impairment-rating logic against a jurisdiction-specific checklist, every input cited, the final rating the examiner's own.

In action
Jurisdiction checklist pre-filled
Examiner finalizes and signs
](https://medrecords.ai/product/impairment-rating-copilot/)
[

 Opinion Attack Simulator BETA
Reviews a drafted opinion for unsupported jumps, missing exam findings, thin causation, and overreach, the same scrutiny a deposing attorney would apply.

In action
Unsupported claims flagged
Missing exam findings surfaced
](https://medrecords.ai/product/opinion-attack-simulator/)
[

 Exam Prep Pack BETA
Generates a focused physical-exam checklist, targeted questions, and prior-treatment probes from the record before the exam starts.

In action
Pre-exam checklist generated
Inconsistencies flagged to probe
](https://medrecords.ai/product/exam-prep-pack/)
[

 Reviewer Consensus Mode BETA
Routes the same file to two or three evaluators and shows exactly where their reads diverge, useful for high-value or disputed files.

In action
Two reviewers, one file
Divergence points shown
](https://medrecords.ai/product/reviewer-consensus-mode/)
[

 Causation Literature Anchor BETA
Links causation statements in a drafted opinion to matched peer-reviewed literature, always shown apart from the record's own facts.

In action
Causation claims matched to literature
Kept visually separate from facts
](https://medrecords.ai/product/causation-literature-anchor/)
[

 Dictation-to-IME Report BETA
Turns a dictated exam recording directly into a structured IME report draft, built on the platform's existing dictation and drafting engines.

In action
Dictation transcribed, structured
Opinion section left blank
](https://medrecords.ai/product/dictation-to-ime-report/)
[

 Case Theory Builder BETA
Converts the record into structured plaintiff, defense, causation, and damages theory outlines, each point cited, ready for counsel to shape.

In action
Four theory lenses populated
Each point cited to source
](https://medrecords.ai/product/case-theory-builder/)
[

 Demand Package Generator BETA
Assembles a complete demand package, cited chronology, damages narrative, exhibit set, and a benchmark-supported value range, building on Settlement Demand Letter.

In action
Chronology, damages, exhibits bundled
Benchmark range attached
](https://medrecords.ai/product/demand-package-generator/)
[

 Deposition Prep Engine BETA
Generates targeted deposition question sets for treating providers, the plaintiff, and opposing experts, each cited to the record.

In action
Multi-witness question sets drafted
Cited to record inconsistency
](https://medrecords.ai/product/deposition-prep-engine/)
[

 Cross-Exam Simulator BETA
Builds likely cross-examination paths from inconsistencies, gaps, priors, and imaging ambiguity in the record, a rehearsal tool, not a script.

In action
Inconsistency clusters identified
Likely question paths drafted
](https://medrecords.ai/product/cross-exam-simulator/)
[

 Standard-of-Care Deviation Detector BETA
Compares the documented care timeline against the expected diagnostic and treatment pathway, flagging departures, labeled provisional until a clinician reviews.

In action
Care timeline vs. expected pathway
Sign-off gate — Approve/Revise/Reject
](https://medrecords.ai/product/standard-of-care-deviation-detector/)
[

 Damages Story Engine BETA
Extracts pain, functional loss, work impact, and activities-of-daily-living evidence from the record into a structured, cited damages narrative.

In action
Pain & function-loss evidence pulled
Organized into cited narrative
](https://medrecords.ai/product/damages-story-engine/)
[

 Settlement Posture Memo BETA
Organizes cited evidence, benchmark comparisons, and open questions relevant to a settle, litigate, or investigate-further decision, the analysis is drafted, the call stays counsel's.

In action
Evidence & benchmarks organized
No settle/litigate recommendation
](https://medrecords.ai/product/settlement-posture-memo/)
[

 Expert Witness Specialty Finder BETA
Reads the disputed clinical issues in the file and suggests the medical specialties most relevant to retain as an expert, a starting list, not a referral service.

In action
Disputed issues mapped to specialty
A starting list, not a referral
](https://medrecords.ai/product/expert-witness-specialty-finder/)
[

 Reserve Benchmark Radar BETA
Compares a claim's current reserve to a benchmark range built from medical severity drivers and comparable resolved claims, a reference point, not a verdict.

In action
Reserve vs. benchmark range shown
Adjuster sets the reserve
](https://medrecords.ai/product/reserve-benchmark-radar/)
[

 Large-Loss Early Warning BETA
Flags claims trending toward high-severity thresholds based on early medical records, treatment intensity, injury type, and comparable trajectories.

In action
Severity trajectory scored early
Confidence & drivers shown
](https://medrecords.ai/product/large-loss-early-warning/)
[

 Settlement Variance Detector BETA
Flags claims that settled above the comparable cohort without medical drivers that explain the gap, a pattern signal for review, not an accusation.

In action
Settlement vs. cohort compared
A flag, not an accusation
](https://medrecords.ai/product/settlement-variance-detector/)
[

 Claims Review Quality Sampler BETA
An opt-in internal QA tool: compares a sample of the carrier's own claim decisions against the record evidence and its own playbook, for training and process improvement.

In action
Decision sample vs. playbook
Carrier's own internal QA tool
](https://medrecords.ai/product/claims-review-quality-sampler/)
[

 Provider & Venue Outlier Map BETA
Surfaces which providers, venues, and treatment patterns correlate with higher severity or cost across a claim portfolio, benchmarked and cited with sample size shown.

In action
Provider + venue patterns mapped
Minimum sample size enforced
](https://medrecords.ai/product/provider-venue-outlier-map/)
[

 Defense Counsel Outcome Analytics BETA
Analyzes a carrier's own historical outcomes by the defense counsel it has engaged, adjusted for claim severity, venue, and injury mix, a management view of the carrier's own data.

In action
Your own counsel-outcome data
Severity & venue adjusted
](https://medrecords.ai/product/defense-counsel-outcome-analytics/)
[

 Claim Strategy Scenario Modeler BETA
Models the likely cost, time, and evidence implications of different claim-handling paths side by side, the adjuster picks the path.

In action
4-5 handling paths modeled
Adjuster picks the path
](https://medrecords.ai/product/claim-strategy-scenario-modeler/)
[

 Subrogation & Recovery Finder BETA
Scans the record for signals of third-party liability, duplicate coverage, and Medicare, Medicaid, or ERISA recovery opportunities, flagged for your recovery team.

In action
Third-party liability signals flagged
Recovery team follows up
](https://medrecords.ai/product/subrogation-recovery-finder/)
[

 Case Genome BETA
Builds a structured fingerprint for every case, injury, venue, treatment, gaps, priors, and outcome, powering cohort matching across benchmarks and pattern features.

In action
Per-case structured fingerprint
Powers cohort matching
](https://medrecords.ai/product/case-genome/)
[

 Closed-File Backtesting Lab BETA
Upload historical closed files and see retrospectively where missing records, severity signals, benchmark variances, or documentation gaps would have surfaced earlier.

In action
Historical files run retrospectively
Shows when signals would fire
](https://medrecords.ai/product/closed-file-backtesting-lab/)
[

 Private Benchmark Network BETA
An opt-in program where participating carriers and firms contribute de-identified, aggregated closed-case data to build stronger shared benchmarks.

In action
Opt-in, de-identified pooling
Your data stays yours
](https://medrecords.ai/product/private-benchmark-network/)
[

 Evidence Graph API BETA
A dedicated API surface exposing the platform's structured evidence graph, entities, relationships, and provenance, so your own tools can consume cited medical facts directly.

In action
Entities, relations, provenance exposed
Tenant-scoped access
](https://medrecords.ai/product/evidence-graph-api/)
[

 Privilege-Aware Workspace Split BETA
Splits the case workspace into distinct evidence, work-product, valuation, IME-neutral, and audit views so privileged analysis never leaks into neutral opinion work.

In action
Evidence / work-product / valuation split
Cross-view access logged
](https://medrecords.ai/product/privilege-aware-workspace-split/)
[

 Human Expert Marketplace BETA
Routes specific case work to vetted human specialists, IME physicians, legal nurse consultants, coders, life-care planners, when the file calls for expertise beyond the platform.

In action
Routes to vetted specialists
Directory service, not supervision
](https://medrecords.ai/product/human-expert-marketplace/)
[

 Med-Legal Data Room BETA
A single, permissioned case room where counsel, the adjuster, a retained expert, and a mediator each see only what their role is entitled to.

In action
Role-based permissioned sharing
Expiring, watermarked links
](https://medrecords.ai/product/med-legal-data-room/)
[

 Mediation Mode BETA
Exports a mediation-ready package: the benchmark-based neutral range, the specific drivers in dispute, and the cited evidence behind each, built for the settlement conference.

In action
Neutral range + disputed drivers
No settlement number recommended
](https://medrecords.ai/product/mediation-mode/)
BENEFITS

### 1 platform, 3 lanes.

The attorney, the adjuster, and the examining physician read the same 10,000-page file for opposite reasons — the fact that wins a case, the charge that reveals leakage, the finding that supports an opinion. Pick your lane below to see what Medrecords AI pulls from that same file for * your* work.

For the attorney the records dump landed on

#### Build a stronger case, faster — every fact cited.

Catch the prior injury, the treatment gap, the contradiction — before opposing counsel does.
A cited chronology in hours, not weeks — every entry synced to its source page.
Demand support that survives scrutiny: every injury, treatment, and dollar traced to the page.
[Explore Legal](https://medrecords.ai/solutions/legal/)
4:52 PM, Friday. Defense just produced 10,412 pages.
 Found it first
3/14/2019 — prior lumbar strain
reading
 p.212
PRIOR INJURY · 03/2019
Demand narrative
 § Prior findings
p.12
p.47
3/2019 — prior lumbar strain, Dr. Osei
 p.3,412
Cited before opposing counsel finds it.
Claim #7 of 14 today — soft-tissue, attorney-repped.
 Caught before payout
Claim C-4187 · billing ledger
 reserve $48.5k
02/11
 PT eval — initial
 $380.00
02/25
 MRI L-spine
 $1,240.00
6 WKS — NO TREATMENT
 GAP
04/09
 MRI L-spine — repeat
 $1,240.00
 DUP
04/16
 Facility fee — out-of-network
 $2,210.00
 OON
Leakage flagged, with sources
 $3,450caught
The exam took an hour. The records shouldn't take the weekend.
 Holds up under cross
R
 L
IME · ALVAREZ, R. — L-SPINE
MRI · SERIES 3
 slice 18/24
L4–L5 · left posterolateral herniation
Alvarez v. Meridian Freight — IME report
 YOUR LETTERHEAD
Impression: L4–L5 herniation, left L5 impingement.
MRI · s3 / slice 18
 click to open the slice
Your name, M.D.
ATTESTING EXAMINER
ATTESTED
The image, the finding, your name — 1 unbroken chain.
Weeks → hrs
 From records dump to cited demand support — ready for deposition, not just review.

##### For the adjuster with 14 files in the queue (Insurance & Claims)

Cut review time and leakage — with an audit trail.

- Reach determinations on the full record: a cited summary and chronology per claim, in minutes.
- Catch leakage before it pays out — treatment gaps, duplicate billing, and unsupported charges, flagged with sources.
- Defensible for the file: every finding traceable to its page, every PHI access logged.

Minutes to a cited claim summary — leakage flagged with sources, not after it pays out.

##### For the examiner who signs the opinion (IME / Medical-Legal)

Triple your throughput — without risking your opinion.

- Ground your opinion in the evidence itself: DICOM studies, PACS viewer, and 3D — not just the radiologist's report.
- Causation and apportionment support, surfaced and sourced — the conclusions stay yours.
- Reports on your letterhead, in your voice — templates load from case context and export clean.

3× files per week with the same staff — and an opinion that holds up under cross.

### The work you were about to outsource.

Chronologies, demand letters, deposition summaries, IME reports: the deliverables review vendors sell in days, drafted here in minutes, every line cited. Pick the one on your desk.

#### Chronologies & Summaries

Timelines, treatment history, and case-ready record reviews — cited to the page, for attorneys and insurers.

[Explore this specialty ](https://medrecords.ai/solutions/chronologies-and-summaries/)
 [All specialties →](https://medrecords.ai/solutions/medical-record-review/)
Comparison guide

### Compare the evidence, not the category labels.

In-house review, outsourced services, specialized software, and general-purpose AI vary by provider, contract, configuration, and date. Use the same due-diligence questions for every option and verify material claims directly.

**Source traceability** Test whether material statements stay connected to exact supporting pages or references.
**Professional control** Show what prevents an unsigned draft, opinion, or decision from moving downstream.
**PHI handling** Verify the specific service, agreement, configuration, data flow, retention, and deletion terms.
[Open the evidence-first comparison guide →](https://medrecords.ai/compare/)
Frequently asked questions

### The practical questions, answered.

Capabilities, review boundaries, security, pricing, deployment, and the safe evaluation path.

**How do I know it isn’t making things up?**
Every answer and chronology entry is locked to its source page or DICOM slice; you verify by clicking through to the original. If we can’t cite it, we don’t say it, and low-confidence findings are flagged, not hidden.

**Will it skip or silently drop pages?**
No. Every page is accounted for (read, classified, or quality-flagged), and you get a coverage report per case showing pages received, processed, and included or excluded with a reason.

**Does it interpret, or just extract?**
You choose the mode: Extractive (facts and citations only, zero inference), Interpretive (a clinical synthesis), or Evidence-Based (each statement citation-backed, source shown).

**Is there a 1,000-page limit?**
No wall. It’s built for real charts — 10,000+ page records with pagination and lazy loading, plus full DICOM studies. Generic chat tools reject files that size; this doesn’t.

**How long does a large case take?**
Typically minutes to hours end-to-end, even for a very large file — versus days or weeks for a manual reviewer.

**Does it read handwritten notes?**
Yes. Handwritten and low-quality pages escalate through a multi-model pipeline, and anything uncertain is quality-flagged for your review rather than silently guessed.

**What if it misreads a date?**
You correct it and regenerate — the change cascades to the timeline and report. The expert is always the source of truth.

**Which document types does it read?**
Clinical notes, operative and radiology reports, labs, pharmacy, billing and EOBs, legal documents, and native DICOM imaging — with per-page quality flags where legibility is poor.

**Is my PHI safe, and will you train on it?**
No training, ever. Your records stay in your control under HIPAA controls, SOC 2 audit-ready documentation, encryption in transit and at rest, and PHI access logging on every event.

**Why is this safer than pasting into ChatGPT?**
Consumer ChatGPT isn’t a protected environment, and general AI tools aren’t built for medical-record work: no citation back to the source page, no HIPAA-grade access controls or BAA, and no handling for 10,000-page charts or native DICOM imaging. Medrecords AI is an access-controlled, HIPAA-grade platform purpose-built for exactly that, with case-level permissions and full audit logging.

**Is using AI defensible in court?**
Transparency is the answer: every statement traces to a source page or slice, you remain the author and attester, and Extractive mode keeps output free of interpretation when you want zero inference.

**Do I have to share records with third parties?**
No. Records are processed within our platform, and a de-identified export is available when you need to share without exposing PHI.

**How is it priced?**
Transparent per-page credits — no per-seat lock-in, and credits don’t expire. Run your own numbers in the ROI calculator above.

**Will I get a surprise bill?**
No. Pricing is usage-based and predictable, with credit packages you control — no open-ended monthly charges.

**Does asking the record questions cost extra?**
No per-question fee — interrogating the record is part of the workspace, not a metered add-on.

**Can I edit output and have it update everything else?**
Yes — correct a finding or date and regenerate; the change cascades through the chronology and report, and version history is preserved.

**Can I use my own template, branding, and signature?**
Yes — custom templates that load from case context, your logo and signature attestation, and export to PDF and DOCX with a clean citation-free option.

**Can I ask the record questions in plain English?**
Yes — interrogate the whole chart, chart values across date ranges, and get cost math, each answer cited. Threads persist across sessions.

**Will it fit the systems I already run?**
Connect links Medrecords AI to your case-management and claims tools through a secure REST API and CRM token exchange (no shared credentials), with outbound webhooks.

**Can it digest depositions, not just medical records?**
Yes — a color-coded, page-by-page deposition digest plus a narrative summary, both editable and exportable to Word with live hyperlinks back to the transcript.

**What happens to duplicate records across providers?**
AI deduplication removes duplicate entries across merged files in 1 click — and duplicate billing lines are flagged, not silently merged, so leakage stays visible.

**Can I share imaging without burning discs?**
Yes — send any study via a secure link. The recipient views it in the browser: no software, no discs, and every access is logged.

**Do exports keep the citations?**
Every timeline, digest, and report exports to Word or HTML with live hyperlinks back to the original source pages — trial-ready without reformatting.

**Can it support future-care cost projections?**
Yes — billing roll-ups and future-care cost tables assemble from the record with sources attached, ready to drop into a life-care plan or specials calculation.

**Can it support demand packages and deposition prep?**
Yes — cited chronologies, demand support with every injury, treatment, and dollar traced to its page, and Extractive mode when you need zero inference for exhibits and cross.

**Can it manage the IME → deposition → trial workflow?**
Imaging, causation support, and templated attested reports are here today; the full lifecycle CRM (intake, scheduling, invoicing) is on the roadmap.

**Will the narrative reflect my rehab lens, not acute care?**
Yes — steer it toward function, rehabilitation, and future needs, with Life-Care-Plan specifics and editable, code-transparent cost tables.

**Can it flag fraud, waste and abuse — not just summarize?**
Yes — audit claim samples, flag patterns like treatment gaps or tampered dates, and turn physical files into structured data. For full TPA claims workflows we pair with your coding and rules.

**Can I white-label it and resell to attorneys?**
Yes — your logo, editable pricing, and case-scoped document organization; reliability and full-page accounting make it demo-able to attorneys.

**Can I use it just for my own records?**
Yes — understand your own records privately at per-page pricing, without hiring anyone. HIPAA-grade, never consumer ChatGPT.

**What is medrecords.ai?**
Medrecords AI turns medical records, claims documents, and imaging into structured chronologies, cited summaries, and searchable answers. It is built for law firms, IME and QME providers, insurers, TPAs, and claims teams who need to review large record sets fast without giving up defensibility. Every answer traces back to its source page or DICOM slice.

**Who is medrecords.ai built for?**
Legal teams and paralegals, IME and QME providers, expert witnesses, insurers, TPAs and claims adjusters, life-care planners, and rehab professionals: anyone who has to turn a large, messy medical file into a defensible chronology, summary, or answer, fast.

**What’s the difference between a medical summary and a medical chronology?**
A medical summary condenses the most clinically relevant facts from a file. A medical chronology arranges every event in date order so you can see treatment progression, causation issues, and gaps in care at a glance. Medrecords AI generates both, plus an Extractive mode with zero inference when you need citation-only output for exhibits.

**How do I get started? Is there a free trial?**
The fastest start is a guided file test. Book a short scoping call first; we confirm fit and complete the required agreements before providing an approved secure intake route for any file containing PHI. Do not email or upload medical records through the public website.

**How should I evaluate medrecords.ai against other tools before buying?**
Pilot it on two or three of your own real files: one simple case, one complex one. Check citation quality (can you click through to the source page for every claim), measure turnaround at your typical page count, confirm BAA and security terms, and get sign-off from the reviewers who will actually use it daily before rolling out broadly.

**What support do I get as a customer?**
Support is founder-led: you talk to the people who build the platform, not a ticket queue, with replies within one business day. For security incidents we are reachable 24/7 and follow HIPAA incident-management rules end to end.

**Does medrecords.ai replace my legal nurse consultant, paralegal, adjuster, or physician reviewer?**
No. It removes the manual page-turning, not the judgment. Your reviewer still makes the clinical and legal calls; Medrecords AI gets them to a cited, organized record faster so more time goes to analysis instead of extraction. The expert is always the source of truth: correct a finding and regenerate, and the change cascades through the chronology and report.

**How long does setup take? Does my IT team need to be involved?**
Self-Service starts the same day, in our HIPAA-eligible cloud, with no IT ticket needed. AI Enablement (your own keys and cloud account) is typically about a week, and Enterprise on-prem deployments take roughly four weeks. SSO and API setup are part of the guided enterprise path.

**Can it flag missing or incomplete records, not just duplicates?**
Yes. Beyond deduplication, Missing Records Identification cross-references the treatment history against the file and flags visits, providers, or date ranges that should exist but were not produced, so you can request them before writing a report, demand, or reserve rather than finding out at deposition.

**How does per-page pricing compare to outsourced medical record review?**
Medrecords AI publishes a 10¢ per-page Self-Service rate. Compare that with your fully loaded current workflow, including preparation, review, corrections, management time, vendor minimums, implementation, and switching costs. The ROI calculator is an estimate based on the inputs you provide, not a guaranteed savings claim.

**Does medrecords.ai support role-based access control (RBAC)?**
Case-level permissions and full audit logging are in place today: you control who can access each record set, and every access is logged. Full role-based access control (RBAC) is coming soon; if RBAC is on your procurement checklist, ask us about the rollout timeline.

Published pricing

### A transparent per-page rate, without a promised ROI.

Self-Service is listed at 10¢ per processed page. Your economic result depends on file mix, review requirements, corrections, management time, implementation, and the cost of your current workflow. Model those inputs directly; do not treat a marketing benchmark as a guaranteed saving.

Simple rate examples
1,000 processed pages**$100**
5,000 processed pages**$500**
10,000 processed pages**$1,000**
Examples show platform processing charges only. They exclude taxes, implementation, professional review, rework, and other workflow costs. Confirm current pricing and terms before purchase.

HIPAA

 SOC 2 audit-ready

 Never trains on your data

 [Security & trust →](https://medrecords.ai/security/)

### See the workflow. Then scope a safe file test.

Book a product walkthrough or a guided file-test intake. When PHI is involved, Medrecords AI confirms fit, completes the required agreements, and provides the approved secure transfer route before any record changes hands.

Pick a slot · 30-minute demo
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Or scope a guided file test

#### Start with fit, agreements, and the right intake route.

Describe the record type and intended output without sending PHI. If the evaluation is a fit, we complete the required agreements and provide approved secure intake instructions.

Agreement completed before PHI transfer
Never used to train a model
Deleted 30 days after delivery
[Test a file ](https://medrecords.ai/test-a-file/?src=home)
Prefer email? [aj@medrecords.ai](mailto:aj@medrecords.ai)