A clear view of what is available — and what comes next.

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

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

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

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

Detects pages from the wrong patient and quarantines them before analysis — privacy incident prevention.

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

Transcribes dictated audio into structured, cited text — the audio sibling of Handwritten Extraction.

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

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

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

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

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

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

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

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

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

Extracts ROM measurements and pain-scale ratings from every visit and lines them up across the file.

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

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

Inline, cited plain-language definitions for clinical terms across every platform output.

Every treating provider extracted and listed, specialty-enriched, on the Smart List engine.

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

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

Normalizes recurring clinical measurements across providers and visits, plots them over time, and keeps every point linked to its source.

Surfaces explicit negatives and expected-but-undocumented facts, keeping 'not documented' clearly separate from 'did not happen.'

Extracts social, family, occupational, allergy, prior-accident, prior-surgery, and pre-existing-condition history into one evidence-linked profile.

Groups conditions by body system with provisional High/Medium/Low review priority, and lets reviewers confirm or override every tag.

Builds a dated trajectory of work status, functional limitations, rehab goals, assistive devices, and standardized outcome measures.

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

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

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

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

Prose-form case narrative, SOAP or plain-language, drafted from the same data as your summary reports.

Merges and sorts a raw batch of PDFs into one ordered file, on the packet builder's engine.

Generates a bookmarked PDF outline from the packet builder's existing sort rules.

Nine named litigation chart types as one template library on the report builder's engine.

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

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

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.

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

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

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

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

Flags favorable and unfavorable fact patterns in the record, cited — signals, not a verdict.

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

Drafts topic-organized deposition question outlines from the digest and record — every question cited to the page it's built on.

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

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

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

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

Compares the documented care timeline against the expected diagnostic and treatment pathway, flagging departures, labeled provisional until a clinician reviews.

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

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.

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.

Drafts the examiner's IME report from exam findings and the case record, via the report builder's engine.

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

Matches peer-reviewed literature and standard-of-care guidelines to the record's diagnoses, cited.

Drafts a cited life care plan by category and cost range from the record — ready for a planner's certification.

Scores case merit or standard-of-care deviation from flagged signals and matched literature — provisional until a professional signs off.

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

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

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

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

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

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

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

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

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

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

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

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

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

One-page rolled-up billing summary, grouped by provider/date/category, from the ledger's source-verified data.

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

Compares every billed amount to UCR/geographic benchmarks and flags outliers with percentile context.

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

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

Cross-claim provider pattern view benchmarked against specialty, geography, and claim-type peer cohorts, drillable to the underlying evidence.

Aggregates cited billing, provider, and inconsistency signals into an estimated recoverable-value range with a confidence level and executive-ready report.

Parses demanded actions, deadlines, policy requests, allegations, injuries, treatments, and billing assertions into cited fields ready for verification.

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.

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

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

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.

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

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.

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

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

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

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

Immutable log of every ingest, access, edit, and export — exportable custody report per production.

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

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

Converts raw pages into a structured evidence graph of documents, entities, events, and relationships, with provenance at every layer.

Configures evidence checks, routing, exception queues, deadlines, and mandatory approval steps without letting AI make the final decision silently.

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

Upload historical closed files and see retrospectively where missing records, severity signals, benchmark variances, or documentation gaps would have surfaced earlier.

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

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.

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

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.

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