US personal-injury firm, document automation

AI Demand-Letter Generation for a Personal-Injury Firm

Active build for CNF Attorneys
1
Problem

Personal-injury demand letters are built by hand — pulling facts from intake notes, medical records, and billing, then structuring liability and damages into a persuasive package. It's detail-heavy work that ties up paralegals and attorneys on every case.

2
What I built

An AI pipeline that ingests case documents, extracts the facts and damages that matter, and drafts a structured, attorney-ready demand letter in the firm's format — consistent every time, built for review rather than from scratch.

3
Result

Attorneys start from a complete first draft instead of a blank page — case facts assembled and formatted automatically, so the work shifts from assembling to reviewing.

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