How: ChatGPT workflow to summarize legal contracts
Corporate paralegal needs a repeatable process to extract obligations, dates, and risk flags from dozens of contracts per month with high accuracy and auditability.
Answers
Approved replies, operator insight, and tactical follow-up from the community.
Repeatable workflow:
1) OCR + normalize PDFs, capture metadata.
2) Chunk with overlap for long contracts.
3) Run a structured extraction prompt that returns JSON rows: obligation, party, trigger, due_date, risk_flag, clause_text, page_ref, confidence, source_quote.
4) Log model+prompt+timestamp and save clause snapshots for audit.
5) Human-review queue for low-confidence/high-risk items; export CSV/DB.
Recommended tool: Claude for careful, long-context extraction.
CTA: Compare Claude vs ChatGPT: Compare Claude and ChatGPT
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