In the realm of transactional diligence, legal professionals face the challenge of analyzing vast volumes of documents under strict deadlines to validate financial and legal claims before acquisitions. Ropes & Gray, an early adopter of artificial intelligence in the legal sector, has collaborated with OpenAI to create a proprietary tool designed to enhance expertise delivery to clients. The firm aims to maintain high-quality advice while significantly increasing the speed of their operations.

The new AI system performs an initial pass through thousands of pages within a data room, identifying relevant documents and automatically grouping them by themes and issues. Unlike isolated document reviews, the tool inventories the entire data room to analyze full relationships between files. It then generates summaries and a completed report formatted according to Ropes & Gray's signature style. This workflow is designed to mimic the steps of a capable junior-to-mid-level associate, providing a consistent first pass that allows senior lawyers to focus on making judgments based on contract contents rather than spending time reviewing every clause manually.

Howard Glazer, Partner and Head of Practice AI at Ropes & Gray, emphasized that the tool enables lawyers to concentrate on their core responsibilities. He noted that clients pay for professional judgment derived from contracts, not merely for the act of reviewing them. However, the firm maintains a strict human oversight protocol. Lawyers must inspect the AI's grouping and categorization to ensure nothing is missed before delivering work to clients. Lichtenstein, another key figure at the firm, stated that because the firm must stand behind 100% of what it delivers, the tool is specifically designed to facilitate easy review of interim summaries and source documents.

The development process involved rigorous testing where lawyers compared the AI's outputs against human-authored diligence reports from completed deals. This comparison allowed the team to refine the rubric and report format based on the drafts' strengths and weaknesses. The initial focus of the tool has been on material commercial contracts, with the ambition to produce detailed, issue-level diligence reports in hours rather than weeks. By leveraging this proprietary tool alongside other technologies like GPT-6 Astra, Ropes & Gray reports solving client problems far faster than previously possible.

Beyond immediate efficiency gains, the firm is looking toward future applications of AI to create collective knowledge across its 340 partners and 1,500 lawyers. Glazer envisions a system that provides access to insights from client meetings and past projects, arguing that this approach creates direct value beyond simple time or cost savings. The leadership team advises experimenting with AI in various facets of life to understand its capabilities and limitations, while always prioritizing the client's benefit as the primary goal of technological adoption.

Sources: OpenAI News.