Read every page · cite every line
Find the fact that decides the case — in minutes, not weeks.
Medrecords AI reads the whole file — 10,000+ pages of PDFs, scans, handwriting, and DICOM imaging — then hands you a cited chronology, summary, and reasoning you can defend in deposition. Built for legal, insurance, and IME.
Trusted across Legal · Insurance & Claims · IME / Medical-Legal — reading 50,000+ pages of records every month
Who it's for
One platform, three lanes.
The attorney, the adjuster, and the examining physician read the same 10,000 pages for opposite reasons. Pick your lane to see what Medrecords AI pulls out of the same file for your work.
Build a stronger case, faster — every fact cited.
Explore LegalThe stakes
The risk isn't slow review. It's the fact you missed.
The decisive fact can hide anywhere in 10,000 pages — the prior injury that guts a demand, the treatment gap that pays out as leakage, the contradiction that unravels an opinion under cross. Manual review is slow and expensive. Worse, it's where that fact goes missing. Medrecords AI reads all of it — every page and every image — and shows you what matters, with the receipts.
The size of a single complex file — routinely.
Per page for outsourced review — we charge a flat 10¢.
The one that changes the outcome — easy to miss.
You might be thinking…
Every doubt you have, we've heard on a call.
Each card is a verbatim objection from a real lawyer, adjuster, or physician — met head-on. The tag marks the pain it retires.
Reads everything · even the imaging
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.
Each page goes to the right engine — anything low-confidence is flagged for review, not guessed.
A multi-model handwriting pipeline reads what other tools skip.
Ingest imaging studies, view them in an integrated PACS viewer, and place imaging events on the timeline.
Chronology
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.
One flow
From any record to a defensible answer — in one flow.
PDFs, scans, handwriting, DICOM — segmented, OCR-routed, and flagged.
Clinical events extract into a color-coded timeline, synced to the source.
Every line links to its page or image — in three reasoning modes.
Edit, cite, template, and export — or push straight to your CRM.
The platform
One platform. Every capability.
Twelve modules, one workspace — from ingestion to a deposition-ready report.
See it in action
Every capability, shown — not just claimed.
A look at what the platform actually produces on a real file, feature by feature.
Open the product tourAny format in — PDFs, scans, and handwriting, OCR-routed and quality-flagged.
Sx 18 Jan/13 — 9 tx to date
A multi-model pipeline reads the notes other tools skip — uncertain text is flagged, not guessed.
Separates mixed claimant data automatically — accurate assessments, clean compliance.
Detects and removes redundant pages — fewer errors, faster reviews.
A rich-text editor with inline citations, tracked changes, and one-click export or CRM push.
Source, timeline, and report on one screen — collapse and resize every pane your way.
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 Evidence Lock worksInterpretive 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.
"Patient presents following MVA with acute onset of low-back pain radiating to the left lower extremity. Onset dated to 03/14/2025."
Pricing · run your own numbers
Faster than a team. A flat 10¢ a page.
Simple, usage-based pricing — a flat 10¢ per page, no per-seat lock-in, and credits don't expire. Tell us your volume and we'll show your savings versus manual or outsourced review.
ROI calculator
The real comparison
Everything outsourced review can't give you.
Faster than a team of reviewers, a flat 10¢ a page (vs. up to 40¢ outsourced), and — unlike either — every fact is cited and your data never trains a model.
| Outsourced review | Generic legal AI | Medrecords AI | |
|---|---|---|---|
| Turnaround | days–weeks | hours | minutes–hours |
| Cost | up to 40¢ / page | per-seat | flat 10¢ / page |
| Imaging (DICOM) | no | no | yes |
| Cited to source | sometimes | sometimes | always |
| Your data trains a model | unclear | unclear | never |
Illustrative outcomes
The outcomes teams come to us for.
A national IME firm cut turnaround from days to hours — and took on more cases per month with the same staff.
A workers'-comp carrier caught treatment-gap leakage earlier and cut outsourced review spend materially.
A PI litigation firm produced demand support in hours, not weeks — every figure traced to the page.
Illustrative outcomes shown for shape and scale — not specific named accounts. Verified case studies and customer references coming soon.
Security & Trust
Built for PHI from the ground up.
Secure, auditable, and human-guided — so your experts can move with total confidence. Your records never leave your control and are never used to train any AI model.
Questions, answered
The objections, as questions.
Filter by topic. Two columns keep it tight — every answer defuses a doubt before it's raised.
See it on one of your own files.
Book a 20-minute demo, or upload a single file and get a cited sample back — no commitment. Handled under our BAA; never used to train a model.
Prefer to start with a file? Bring a de-identified sample to your intro meeting and we'll return a cited sample report. Handled under our BAA, never used to train a model.