Kirkland flexes financial firepower with $500m AI push

Kirkland & Ellis is planning to spend $500 million building its own artificial intelligence technology platform based on the firm’s “collective intelligence”, according to a report by the Financial Times.

The investment would be directed towards developing proprietary AI systems tailored to the firm’s operations with an initial spend of more than $100 million this year and “hundreds of millions more in the next three to four years” according to chair Jon Ballis.

Financial edge

The reported scale of Kirkland’s investment underlines how the economics of the global elite law firms could become an increasingly important factor in the AI race.

Kirkland became the first law firm in history to break the $10 billion revenue barrier in 2025, reporting revenues of roughly $10.6 billion, while profit per equity partner hit a record $11.1 million.

Against that backdrop, a $500 million technology investment is unlikely to place the same pressure on partner distributions that it would at rival firms.

Bespoke AI

Elite firms have increasingly experimented with generative AI products over the past two years, with many entering partnerships with technology companies such as Harvey or Legora, as well as developing their own bespoke systems.

A&O Shearman has co-developed AI tools with Harvey and Microsoft, while Mishcon de Reya developed an in-house AI platform deReyAI and was an early mover in deploying Legora.

Clifford Chance previously launched its own internal platform, Clifford Chance Assist, built on Microsoft’s Azure OpenAI technology, while White & Case developed its own AI platform. Atlas, as part of its “build, buy, partner” strategy alongside its use of Legora.

Subscription-style

Kirkland’s reported investment also points to a broader strategic question as proprietary AI systems evolve into licensable commercial products or technology-enabled service lines.

Freshfields, for example, recently announced a strategic partnership with Anthropic focused on deploying generative AI tools across the firm, including specialist AI products that could later be licensed more broadly across the market through subscription-style models.

That raises the prospect that large law firms could increasingly operate not just as legal advisers, but as owners of valuable legal technology platforms built on their own institutional knowledge, workflows and proprietary data.