Back to News
Willkie Farr & Gallagher Partners with OpenAI to Build Proprietary Legal AI Platforms
AI for Lawyers

Willkie Farr & Gallagher Partners with OpenAI to Build Proprietary Legal AI Platforms

On July 22, 2026, law firm Willkie Farr & Gallagher announced a strategic partnership with OpenAI to develop proprietary AI solutions across its legal and business operations, including a firmwide rollout of ChatGPT Enterprise and integration of OpenAI Codex into its 'Willkie Works' innovation lab.

July 25, 2026·3 min read·

On July 22, 2026, global law firm Willkie Farr & Gallagher announced a strategic partnership with OpenAI to accelerate the development and deployment of proprietary artificial intelligence solutions across the firm's legal and business operations. The collaboration, reported by Artificial Lawyer and Bloomberg Law, includes a firmwide rollout of ChatGPT Enterprise and the integration of OpenAI Codex into Willkie Works, the firm's internal AI and innovation organization. For personal injury law firms, the Willkie-OpenAI partnership is a market signal about how elite firms are approaching AI strategy, not as consumers of off-the-shelf products but as builders of custom platforms that embed institutional knowledge into automated workflows.

The partnership's scope is ambitious. Willkie intends to use OpenAI's frontier models to enhance its existing portfolio of proprietary platforms, collectively known as 'Wendell,' which includes Wendell Intelligence (the firm's enterprise AI platform), Wendell Financial Insights, Wendell Horizon, the Wendell Private Funds Secondaries Platform, and the Wendell Class Action Claimant Platform. The firm will integrate OpenAI Codex into its AI development environment via Willkie Works, allowing its technologists to design, test, and deploy custom legal AI applications more efficiently. Willkie Chief Digital and Information Officer John Elbasan stated that the firm aims to leverage its 'treasure trove' of institutional data to create actionable, differentiated legal solutions that go beyond simple efficiency gains.

The deal marks one of OpenAI's first major legal industry announcements since hiring former Ironclad founder Jason Boehmig to lead its new legal vertical. Willkie is also a 'Harvey Innovation Partner' and has previously adopted the LexisNexis Protégé platform, meaning the OpenAI partnership is part of a multi-vendor strategy rather than an exclusive arrangement. The firm has attained ISO/IEC 42001:2023 certification for its AI governance framework, addressing the accountability and risk-management concerns that have made many law firms cautious about large-scale AI deployment. The collaboration reflects a growing trend among Big Law firms to balance the use of third-party legal AI tools with the development of custom, proprietary platforms tailored to specific practice areas and client needs.

For personal injury law firm leadership, the Willkie-OpenAI partnership carries three practical takeaways. First, the 'build versus buy' framework is becoming a central strategic question for firms of all sizes, and while PI firms lack the capital to build proprietary AI systems from scratch, the Willkie model demonstrates that the competitive advantage in legal AI increasingly comes from the operational context, the playbooks, precedents, and institutional knowledge that surround the underlying model. PI firms should prioritize vendors that allow deep customization and data ingestion of firm-specific materials rather than generic out-of-the-box solutions. Second, the ISO 42001 certification that Willkie obtained provides a benchmark for AI governance that PI firms should evaluate: firms should ask whether their current AI vendors can demonstrate similarly structured governance frameworks, and whether the firm itself has documented policies for AI supervision, output validation, and malpractice risk management. Third, the multi-vendor strategy, combining Harvey, LexisNexis, and OpenAI, suggests that the most effective AI deployments in legal practice are hybrid architectures that draw on the strengths of multiple platforms rather than relying on a single vendor, and PI firms should maintain vendor flexibility to avoid being locked into platforms that may be displaced by newer, more specialized entrants. As elite firms accelerate their proprietary AI investments, the competitive gap between firms with custom AI capabilities and those with generic tool adoption will widen, and PI firm leadership should treat AI customization not as a luxury but as a strategic necessity.

Discussion (0)

No comments yet. Be the first to share your thoughts!