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Sullivan & Cromwell partners with OpenAI on AI agreement-review tool

A law firm built an AI system with OpenAI that reviews contracts using its own precedents and playbooks.

Sullivan & Cromwell partners with OpenAI to build an AI tool that reviews contracts using firm-specific precedents and adversarial testing.
Sullivan & Cromwell partners with OpenAI to build an AI tool that reviews contracts using firm-specific precedents and adversarial testing. Picture: openai.com

Law firm Sullivan & Cromwell has joined forces with OpenAI to create Agreement Analyzer, an artificial-intelligence tool that reviews draft contracts and flags potential issues.

John Savva, a partner at the firm, first built Agreement Analyzer as a single-user proof of concept using Codex. He then worked with OpenAI to improve the quality of the tool’s outputs, speed it up with parallel processing, and turn it into a system that multiple lawyers can use at once 1.

The tool pulls together Sullivan & Cromwell’s own workflows, curated case precedents, negotiating playbooks and ChatGPT Enterprise 1. A lawyer inputs a draft agreement and adds selected precedents, a playbook showing firm and client positions, and notes on market practice. The system then runs several review cycles from different angles, synthesizes the results and returns a memorandum along with proposed tracked changes for the lawyer to inspect, modify or reject .

How the tool works

Agreement Analyzer uses an adversarial setup in which different AI agents develop conclusions while other agents challenge them 1. One group of specialized agents looks for market deviations and risk-allocation problems, another checks how clauses interact, and a third searches for ambiguities that could lead to disputes .

The output separates findings into three categories: results that survived challenge by other agents, results that were dismissed, and issues that remain unverified and are marked with qualifications 1. Lawyers can read each finding’s explanation and see the supporting precedents before deciding whether to change the final document .

Savva said the aim is not to replace lawyers but to give them a tool that can dig deeper into complex agreements and surface more authority and precedent than a human reviewer could easily find alone 1.

Why transparency matters

Trust in the tool depends on visibility. Savva stressed that if the AI makes a claim about market practice, a lawyer must be able to trace that claim back to its source 1. The adversarial review process is designed to make that possible, so lawyers can see which conclusions are solid and which are still uncertain.

Looking ahead

Sullivan & Cromwell plans to keep building tools for specific legal tasks. Savva pointed to the newer reasoning abilities in GPT-6 Astra, saying those advances help remove a long-standing bottleneck in legal research and writing 1.

Key facts

  • Sullivan & Cromwell and OpenAI developed Agreement Analyzer to review contracts.
  • The tool uses an adversarial AI setup where agents challenge each other's conclusions.
  • Lawyers input precedents and playbooks so the tool reflects firm-specific guidance.
  • John Savva credited GPT-6 Astra's reasoning improvements for advancing legal AI use.

Sources

  1. Sullivan & Cromwell brings legal expertise into agreement review

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