Fried, Frank, Harris, Shriver & Jacobson LLP is deploying a proprietary artificial intelligence system designed to streamline its private equity funds practice, reflecting how large law firms are increasingly integrating generative AI into core transactional workflows, according to a report by Bloomberg Law.
The platform, known internally as FundAssist, is built on OpenAI’s latest models and is designed to analyse the firm’s historical deal work, identify client-preferred drafting language, and surface relevant precedent clauses for fund formation documentation. The system is also intended to allow clients to interact directly with their own legal documents through a controlled interface.
The tool aims to significantly accelerate the drafting of complex fund formation agreements by generating first-pass documentation and automating routine elements of negotiation-heavy processes such as “side letters,” where limited partners often request bespoke terms. These agreements can involve extensive customisation across dozens of provisions, traditionally requiring substantial manual legal input.
FundAssist operates as a multi-agent AI system, where different models handle discrete tasks such as updating contractual parties, ensuring grammatical consistency and assessing jurisdictional implications. The platform runs in a private, ring-fenced cloud environment to ensure client confidentiality and prevent data cross-contamination.
Fried Frank’s leadership described the system as a way to shift more routine drafting and document analysis into automated workflows, allowing lawyers to focus on higher-value advisory work. The firm also indicated that the technology could ultimately be extended to clients directly, enabling a greater degree of self-service in fund documentation processes.
The initiative highlights a broader trend across the legal industry as firms experiment with AI to improve efficiency in private capital markets work. Competitors, including Kirkland & Ellis LLP, have also developed proprietary tools to automate aspects of fund documentation, though earlier versions did not rely on generative AI.
While concerns persist around the impact of automation on junior lawyer training, Fried Frank said it does not expect the technology to reduce associate headcount. Instead, it anticipates faster skills progression, with junior lawyers taking on mid-level responsibilities earlier in their careers.
The system reflects a strategic shift among large law firms toward positioning themselves as technology-enabled service providers, leveraging decades of proprietary deal data to differentiate their AI tools from off-the-shelf legal technology offerings.
