Kirkland & Ellis LLP is reportedly devoting $500 million of its revenue to developing its own custom artificial intelligence platform, a move that signals how quickly AI spending is escalating among the world’s largest law firms.
Reuters reported that the U.S. law firm plans to invest the funds over the next three to four years, beginning with $100 million in 2026. Kirkland, which reported $10.6 billion in revenue last year, said the platform would be designed with input from 250 Kirkland lawyers and involve more than 180 technology professionals inside and outside the firm.
The Financial Times first reported details of the plan, and Kirkland has since acknowledged the coverage on its own website, noting that Chairman Jon Ballis was quoted on the firm’s decision to set aside $500 million to create an AI platform using proprietary technology.
The investment comes as major law firms move beyond experimenting with generative AI tools and begin building systems tailored to their own workflows, data, and clients. Reuters noted that Kirkland still plans to license some third-party AI programs, but declined to say whether its planned platform would rely on a specific generative AI model.
The scale of Kirkland’s commitment places the firm at the centre of a growing debate in the legal industry: whether firms should buy off-the-shelf AI tools, partner with technology companies, or build proprietary platforms that reflect their own legal expertise and institutional knowledge.
That strategy came into sharper focus this week when Kirkland and Palantir Technologies announced the launch of a proprietary enterprise platform designed to transform private equity fundraising.
The platform, part of a multiyear expansion of the firms’ partnership, will use Palantir’s Artificial Intelligence Platform to support fund formation workflows for Kirkland clients. According to Kirkland, the system is designed to help with fund documentation, investor solutions, side letter drafting, obligation tracking, closing commitments, and ongoing compliance.
Kirkland said the platform is intended to securely scale the firm’s institutional knowledge and judgment, streamline complex legal workflows, and support fund formation clients and investors across the private equity fundraising lifecycle.
The firm said it supported nearly $500 billion in capital raised or targeted for clients in 2025 alone. Through its work with Palantir, Kirkland said it is building a new operating model for legal services, one that centralizes the expertise of senior lawyers and makes it available across more than 1,000 lawyers supporting its Investment Funds Group.
Unlike off-the-shelf legal AI tools, Kirkland said the platform is built around its own institutional knowledge, workflows, tradecraft, and judgment.
“Private equity fundraising has become significantly more complex, requiring fund managers to manage enormous volumes of information, transaction history and investor-specific requirements across global commercial and legal frameworks,” said Erica Berthou, Partner and Executive Committee Member at Kirkland & Ellis.
Berthou said the firm is building the fund formation engine to help clients navigate that complexity more efficiently across the full lifecycle of a fundraise and beyond.
“By combining Kirkland’s market-leading funds expertise with Palantir’s technology infrastructure, we will deliver better value and outcomes in addressing the evolving needs of both GPs and LPs by bringing to bear our most senior judgment and our extensive knowledge base,” she said.
Palantir Chief Legal Officer Ryan Taylor said Kirkland is “defining what the next generation of professional services will look like.”
The announcements arrive as AI adoption in law continues to accelerate, but not without risk. Reuters noted that lawyers’ use of AI has raised concerns around data security, fabricated case citations, misquoted law, and other errors when AI-generated work is not fully vetted.
For legal technology observers, Kirkland’s move underscores a growing divide between firms that use AI as a productivity tool and those seeking to turn AI into core infrastructure.
For clients, the promise is faster, more consistent execution on complex legal work. For law firms, the bigger question may be whether proprietary AI platforms become a competitive advantage—or simply the new price of admission at the top of the legal market.