Built by an MD/JD for plaintiff medical malpractice. Casetext (acquired by Thomson Reuters for $650M in 2023) is built for general legal research and document review across every practice area. Here's the honest comparison so you can pick the right fit.
Casetext CoCounsel is one of the strongest general legal AI products in the market — it sits inside the Thomson Reuters / Westlaw ecosystem and has the case-law corpus to back broad legal research. That breadth is genuinely valuable. The honest framing is that Casetext is built for any practice area; MedLegal AI is built for one — plaintiff medical malpractice.
Comparison reflects publicly available information from Casetext / Thomson Reuters as of May 2026. Where competitor information is not public, we say so plainly rather than guess. These are complementary products in many firms — they don't necessarily replace each other.
| Feature | MedLegal AI | Casetext CoCounsel |
|---|---|---|
| Practice-area focus | Plaintiff medical malpractice (birth injury, nursing home, wrongful death, surgical, ER) | General legal research and document review across all practice areas |
| Built specifically for plaintiff med-mal | Yes — 23 tools across 7 med-mal practice areas | No — general legal AI applicable to any practice area |
| Founder background | MD/JD-designed clinical + legal prompts | Founded by Jake Heller (litigator) and Pablo Arredondo (litigator); now part of Thomson Reuters |
| Records review with Bates citations | Yes — outputs trace back to Bates-cited source pages | Document review and citation tools available; medical-records-specific Bates workflow is not a published differentiator |
| Daubert / FRE 702 workup tooling | Yes — Daubert Challenge Generator, expert vetting, prior-testimony research | General legal research can support Daubert briefing; no dedicated medical-expert Daubert workflow |
| Hallucination transparency report | Yes — public citation-resolution rate and methodology at /transparency | Casetext has published internal accuracy benchmarks; no ongoing public transparency report |
| Free trial | Yes — no credit card required | Demo / trial available via sales |
| Pricing | Pro $49/mo · Professional $249/mo · Firm $499/mo (published) | Not publicly published — enterprise / per-seat through Thomson Reuters sales |
| AI architecture | Claude-powered with anti-hallucination scrubber + attorney-review banner on every output | GPT-class models with Westlaw case-law grounding |
Casetext is one of the genuinely strong legal AI products. The Westlaw integration alone is a real advantage for general legal research, and the $650M Thomson Reuters acquisition was earned. We aren't here to argue otherwise.
They're a different category, though. Casetext is general legal AI; MedLegal AI is vertical medical-malpractice AI. Plenty of plaintiff med-mal firms use both — Casetext for legal research and brief support, MedLegal AI for medical-record analysis, Daubert workups, and expert matching. If your firm already pays Thomson Reuters and your bottleneck is legal research, Casetext is a fine choice. If your bottleneck is the 4,000-page medical record sitting on your desk, that's the work we're built for.
30 minutes, your case file, no slides. We show you what the platform produces on real records — and we'll tell you honestly if Casetext is the better fit.