Ropes & Gray is developing AI for transactional diligence with OpenAI. Lawyers review grouped documents, summaries, and reports before advising clients.
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Improving document extraction accuracy with ai_extract and MLflow Prompt Registry involves using schema descriptions for field-level rules, global instructions for document-level logic, precision mode for structural complexity, and citations to diagnose errors. A repeatable workflow can be built using Genie Code, which automates the core of this workflow, scoring extraction field by field against labeled data, proposing schema and instruction fixes as reviewable diffs, and re-running the eval to show before-and-after results. AI summary