Show HN: ClearDemand – Cross-case search and drafting for injury firms
cleardemand.ioHello HN,
We built ClearDemand to solve the "hallucination" problem in legal drafting. General LLMs are great at writing, but terrible at accuracy—which is a dealbreaker when citing medical evidence in a demand letter.
The Problem: Personal Injury firms spend hundreds of hours manually summarizing unstructured medical records (PDFs) to draft demand letters. If they miss a specific injury or treatment date, the settlement value drops.
The Solution: ClearDemand is a drafting platform that ingests raw case files (police reports, medical records, invoices), runs OCR, and uses RAG to generate drafts that are source-verified.
Grounded Generation: Every claim in the generated letter includes a citation linking back to the specific page in the source document.
Cross-Case Search: We index the firm’s entire history, allowing lawyers to search across past matters to find similar fact patterns or successful arguments.
Style Matching: It learns the firm’s specific tone/structure so the output doesn't sound like generic AI.
We’re offering a 14-day trial to see if the OCR pipeline holds up against your messiest scanned PDFs.
Feedback on our citation UI would be much appreciated!
Thanks. I wouldn't trust an LLM to write a legal document. It will invent cases. Agreed. That’s why we built the Source-Verification layer. The model isn't allowed to generate a fact unless it can point to a specific page in the uploaded medical records. It’s designed as a drafter/summarizer for the attorney to review, not a robot lawyer that files autonomously.