Associates spending 3-4 hours on standard contract review for NDAs, vendor agreements, and employment contracts — work that was mostly template-pattern recognition but required attorney time. Volume had grown to 12-15 standard reviews per month.
GPT-4 powered contract review tool trained on the firm's preferred clause structures, risk tolerance, and red-flag library. Tool ingests the contract and produces a structured summary: clause-by-clause status (approve/flag/reject), risk score by section, and redline suggestions. Attorneys review the structured output and approve or modify — not the original document. Clio integration logs review time automatically.
Attorneys needed to remain in control of every decision — AI produces a structured analysis, attorneys decide. GPT-4 was chosen over a rules-based system because contract language varies too much for deterministic rules to cover edge cases. The risk score was the key deliverable — it lets attorneys allocate their 45 minutes proportionally to actual risk, not uniform coverage of every clause.
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