A typical med-mal case is 1,000–10,000 pages and 20–40 hours of manual review. AI can do it in minutes — but most legal AI is wrong 17–33% of the time (Stanford, 2024), and you can't stake a case on a fact you can't trace. MedLegal AI pins every finding to the exact Bates page of the record, so you click through and verify before you rely on it.
Raw records in → a dated, cited chronological timeline out — every entry traceable to its source page.
Maps the breach-to-harm chain so you can see, and prove, where the outcome turned.
Surfaces the specific SOC breaches in the record with the supporting entries.
Flags the gaps to subpoena — before the deposition, not after.
Experts and defendant physicians stress-test on the real case, with Reptile-trap scoring.
Every citation jumps to the record page that proves it. No misgrounding.
Other tools claim "page citations." Ours lets you click the citation and land on the exact record line that supports the claim — the fix for the misgrounding problem.
Watch the 30-second demo →| Role | What they get |
|---|---|
| Plaintiff med-mal attorneys | Screen and build cases on verifiable, cited facts — before funding the workup. |
| Defense counsel | Verification as compliance insurance; prep your expert and defendant for deposition. |
| Legal nurse consultants | Bates-cited chronologies in ~40 minutes instead of 20–40 hours. |
| Expert witnesses | Practice the deposition on the real case until every answer is airtight. |
It reads large medical record productions and extracts the clinically and legally relevant facts into a structured, citable chronology — replacing 20–40 hours of manual review per case.
It's built around verification. Every finding is pinned to the exact Bates page, so you click through and confirm each fact rather than trusting an unverifiable summary.
Yes — HIPAA-compliant with zero-retention options, and a free trial with no credit card.