The plaintiff side has AI. The defense side needed its own.

MedLegal AI is built around how defense medical-malpractice firms actually work — intake screening, expert vetting, Daubert challenges, demand rebuttals, and trial prep — not retrofitted from plaintiff tools.

Why we exist

Defense medmal lawyers handle thousands of pages of records per file, often on a tight retention budget. The first 90 seconds of a new file determines whether the case settles, goes to motion, or goes to trial. The plaintiff bar has been buying AI tools for two years. The defense side has been mostly stuck with generic legal-tech products that weren't designed around their workflow.

Vindico was built by defense practitioners, for defense practitioners, on top of Claude (Anthropic's frontier model). Every tool — from the 90-second case score to the line-by-line medical-bill audit — was prompted, tested, and tuned against real (de-identified) defense files.

How it's different

• Defense-first prompts. The case-strength score weights motion practice, Daubert reliability, and demand-rebuttal angles — not plaintiff settlement leverage.
• Records that respect defense rhythm. Timelines flag SOC defense lines, attribution to pre-existing conditions, and missing-record gaps that map to discovery requests.
• No "AI hallucination" gotchas. The system prompt forbids inventing case cites; it surfaces "I don't have a record for X" rather than guessing.
• Built around the demand-rebuttal cycle. Specific tools (Demand-Letter Rebuttal, Medical Bill Auditor, Lien Calculator) directly answer plaintiff moves.

The company

Security & compliance

We treat case records as PHI by default. The Anthropic API is configured with zero data retention; documents are encrypted at rest in AWS S3 (us-east-1); access is gated by JWT auth with per-firm scoping. A BAA is available on the Professional and Firm tiers.

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