NewMissing Records Detection: flags every visit, provider, and date missing from the file. See how →
HomeSolutionsExpert Witnesses
Medical record review for testifying experts

Prep the opinion. Not the paper chase.

For testifying experts, Medrecords AI turns the full record into a cited chronology before your retention letter is a week old — so deposition prep starts with the facts, not the filing.

Case file · organizing review-ready
2,300 pp → 11 providers, sorted & deduplicated
Standard-of-care timeline — 14 events cited to source
Prior treatment gap, 2021 — flagged for review
Built for the docket, not just the file.
The status quo
$450–500/hr median rate — spent reading, not opining
Retained Friday, deposed in 3 weeks
One uncited fact is a cross-exam opening

Open a referral that's already organized.

Everything the exam needs — structured, surfaced, and sourced. Medrecords organizes the referral, builds the chronology, and drafts the history with citations, so your time goes to the evaluation and the opinion.

IME report · from your templateQME-104
p.31 p.212 p.640

Custom reports: your letterhead, your voice

Report templates draft the history and records review with inline citations. You add the findings and the opinion. Export clean, in your format, every time.

Chronology · by date
2019Prior injury · lumbar strain, pre-DOI
Feb 11Date of injury — ER visit
May 22MRI — Lumbar imaging placed inline
Jun 01Gap in care · 47 days
Jul 17Orthopedic consultation

Automated chronology: the history in order

Prior injuries, treatment, imaging, and gaps — every event dated, sourced, and in sequence. The whole medical history scannable before the claimant walks in.

Duplicate sets · 4Match similarity
Ambulance Call ReportmultipleReview
Consultation Report84%Review
Progress Note87%Review
Remove all duplicates

Dedup & indexing: shrink the packet first

Referral packets arrive bloated with duplicates and misfiled pages. Medrecords removes the redundancy and indexes what remains — so you read each page once.

Cross-checked · multi-modelReferral #M-2210
Claimant nameJane Doe
Date of injury2024-02-11
DiagnosisLumbar disc herniation
Prior injury2019 lumbar strain
Treatment to datePT ×12 · ESI ×2

Built to be verified — not just believed

Multiple models cross-check every extraction. Each field carries its citation and a confidence score, and low-confidence pulls are flagged, so your verification is a click, not a re-read.

Adapts to each referral

Built for expert-level decisions.

Contradictions, diagnostic inconsistencies, prior injuries: surfaced with citations, scored for confidence, and left for you to weigh. The judgment stays yours.

See the full IME workflow, capability by capability →
Intake · Case 2025-0412 reading — p. 1,462 / 1,847
PDF ED_records · 214 pp DOC ortho_chart · 1,128 pp JPG nurse_note · flagged
Multi-model read · dedupe · claimant split · index
1,847 pp in 612 unique 14 flagged One DICOM study
Organized recordby provider · date
01Jul 17Medical Records
02Jul 17Imaging Reports
03Aug 06Physician Notes
612 pp indexed · every row citedopen the case →

Surface the clinical details that change opinions

Contradictions across providers, diagnostic inconsistencies, and key clinical events — highlighted on the timeline and cited to the page, so you analyze instead of search.

You make the calls — always

AI does the reading, every line stays reviewable and traceable, and verification is one click to the source. The findings and the opinion remain yours. As they should.

Who this is for

You're the expert. Reading shouldn't be the job.

Physicians and other testifying experts retained by plaintiff or defense counsel who bill for opinion, not indexing.

Contradictions and diagnostic inconsistencies highlighted with sources
Records oriented by provider, facility, and date at a glance
More files per week, with the same clinical rigor
Records review · file 3 of 9 today panel-ready
Dx: cervical radiculopathy — progress notep.212
EMG negative — 6 weeks laterconflict · p.388
Prior claim, same body part — 2021p.63
ROM measurements — all visits, comparedtable
Contradictions found for you — conclusions stay yours
The objection

“Does a cited AI summary hold up if opposing counsel asks how it was built?”

Every citation traces to a source page — the methodology is transparent, and you're still the one who signs the opinion.

Built for the defensible opinion.

Who we serve

One platform. Built for everyone who works the file.

The same defensible, cited record, shaped to how each team reads it: the case, the claim, or the exam.

Not sure which fits? Talk to us about Enterprise
FAQ

Expert Witnesses, answered.

Yes — exports are built to drop into your existing report format.

Yes — conflicting findings are surfaced and cited, not smoothed over.

No — see the Trust Center and BAA pages for the full data-handling policy.

CONTENT HUB

The Content Hub covers medical-legal record review across IME and QME, workers’ compensation, personal injury, disability and life underwriting, mass tort, and payer integrity. Free, no login.

Browse the Content Hub

Send your next case file.

Read the cited chronology. Then form the opinion.