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A solo lawyer had the AI work through 15,000 pages of case documents for his motion

A solo litigator had about 15,000 pages of discovery to dig through for a summary judgment motion. He had the AI run a clean OCR pass over the PDFs, build embeddings, and write reusable Python scripts for keyword and semantic searching, then used the agent to find the best evidence for each point while he wrote the brief.

How it works

  1. The AI runs an OCR pass over the discovery PDFs
  2. It builds embeddings and writes reusable keyword and semantic search scripts
  3. While he writes the brief, the agent searches both ways to find the best evidence for each assertion

Why it’s worth knowing

The agent turned 15,000 pages of PDFs into a searchable evidence base one lawyer could question while writing.

Where it’s from

Summarized from a public post on news.ycombinator.com. See the original ↗

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