US Personal-Injury Firm · Legal Document Automation

AI Demand-Letter Generation for a Personal-Injury Firm

3–4 hrs~25 min
per demand≈85% faster
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.

GPT-4oClaudePythonDocument AIRAG
Assembly pipeline
Intake notes
Medical records
Billing
AI agent
Demand
Demand letter · draft
RE: DEMAND FOR SETTLEMENT
TOTAL DAMAGES$—
attorney-ready first draft

Losing hours to work an AI system could handle?

Tell me about the process. I'll tell you straight whether it's worth automating — no pitch, no obligation.

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