Builds software for plaintiff medical-malpractice attorneys. Writes on Daubert practice, expert vetting, and the post-FRE 702 amendment landscape. Currently working with ~30 plaintiff firms across the country.
Email John LinkedIn FacebookJohn Mahoney founded MedLegal AI in 2026 after spending the prior year cataloging post-2023 FRE 702 amendment exclusions in medical-malpractice, mass-tort, and birth-injury litigation. The pattern was hard to miss: the same six failure modes were knocking out experts case after case — specialty mismatch, alternative-cause gaps, missing standard-of-care anchors, Bradford Hill cherry-picks, deposition/hearing inconsistency, and undocumented meta-analysis criteria.
The platform he built — at medicalai.law — is a 23-tool suite covering Daubert workups, 9-source expert vetting (NPI, state medical-board sanctions, SEC, prior testimony, news, social, academic), specialty-specific standard-of-care templates, causation chains tied to peer-reviewed literature, Medicare and Medicaid lien math, and 50-state statute-of-limitations and damages-cap research. The pricing is built for contingency-fee economics: $49 / $99 / $249 / $499 per month, flat across the firm, not per-seat.
John writes regularly on plaintiff trial practice — the dynamics of FRE 702 in practice, expert witness vetting workflows, deposition preparation patterns, and the intersection of legal AI with state-bar advertising rules.
Direct email: [email protected]. Reply within one business day. For demo requests, schedule via the contact page.
MedLegal AI is software, not a law firm. We do not provide legal advice and no attorney-client relationship is created by use of this service. All outputs are AI-generated and must be independently reviewed by a licensed attorney before use in any legal proceeding, expert report, or client communication. MedLegal AI is intended for use by licensed attorneys and licensed healthcare professionals only.