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.
Best tools for this use case
Based on the workflow in this discussion, these tools are useful starting points to review.
ChatGPT
Best all-round AI assistant for broad knowledge work and workflow acceleration.
Claude
Excellent for careful reasoning, long-form thinking and structured analysis.
Gemini
Strong AI assistant for users already working inside Google's ecosystem.
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