Ropes & Gray builds transactional diligence AI with OpenAI
Original title: How Ropes & Gray is developing AI for transactional diligence
The tool drafts a first-pass commercial-contract report from a data room; lawyers still review before anything goes to clients.
Law firm Ropes & Gray is developing a proprietary transactional diligence tool with OpenAI to speed commercial contract review. It inventories and categorizes a data room, groups documents by themes and issues, and produces summaries plus a report in the firm’s format. Lawyers compare drafts with completed human reports and must review interim summaries and source documents before client delivery. OpenAI’s October 29 case study also says the firm uses GPT-6 Astra and has publicly described an ambition to produce issue-level reports in hours rather than weeks.
Unconfirmed: The hours-rather-than-weeks outcome is described as the firm’s ambition, not a measured result.
- Initial development focuses on material commercial contracts.
- The firm has 340 partners and 1,500 lawyers, the post says.
- Outputs are compared with lawyer-authored reports from completed deals.
- Partners say the tool is comparable to a junior-to-mid-level associate’s first pass.
- Vendors
- OpenAI
- Organizations
- Ropes & Gray
- AI models
- GPT-6 AstraChatGPT
From the original article
6 min read at openai.comRopes & Gray is developing AI for transactional diligence with OpenAI. Lawyers review grouped documents, summaries, and reports before advising clients.
openai.com
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