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Blackstone pays its law firms hundreds of millions a year. Now it’s funding their replacement and hiring their leaders to run it.

Follow the money. Always follow the money.

In 2024, Blackstone, the world’s largest alternative asset manager, with well over $1 trillion in assets under management, paid Kirkland & Ellis $101.3 million in legal fees. In 2025, another $87.8 million. Those are just the disclosed numbers for one firm, required because a Kirkland partner sits on Blackstone’s board. The undisclosed spend at Simpson Thacher, Sidley Austin, Skadden, Davis Polk, and a half-dozen other elite firms likely pushes Blackstone’s total annual outside legal bill into the hundreds of millions.

In November 2025, Blackstone invested $50 million in a company called Norm AI and helped it launch Norm Law LLP, which calls itself the first AI-native full-service law firm for global institutional clients.

Read that again. The single largest buyer of elite legal services in the world is now funding the construction of an AI law firm designed to do that same work.

This not hype. This is not a pilot program. This is not a bullsh!t innovation press release. Blackstone and Norm AI are, per their own public announcement, “collaborating to shape and develop Norm Law legal services for Blackstone’s use.” The client is co-designing the firm that will compete with its own outside counsel. And it’s not being subtle about it.

If the capital allocation weren’t clear enough, look at who’s walking through the door.

In January 2026, Norm Law announced that Mike Schmidtberger would join as Chairman and Partner. Schmidtberger spent 35 years at Sidley Austin, the sixth-largest law firm in the world by revenue. From 2018 to 2025, he chaired the executive committee. Under his watch, Sidley doubled annual revenue from roughly $2 billion to $4 billion. He stepped down under mandatory age rules. He could have taken an advisory role. He could have joined the board of anything. Instead, he joined an AI law firm with a handful of lawyers and a thesis.

He wasn’t alone. David Sorin, former global co-chair of Brown Rudnick’s technology group, joined as Partner and Head of Private Equity and Venture Capital. Mike Rupe, a partner from Cadwalader, Wickersham & Taft, one of the oldest and most prominent structured finance practices in the country, joined to lead Private Credit. These are not mid-career lawyers taking a flyer. These are people at the apex of BigLaw economics who looked at the trajectory and decided that the future is not in a 500-lawyer partnership. It’s in a firm where AI agents do the production work and elite lawyers do the thinking.

Previous eras of legal tech produced the occasional defector; a restless associate, an entrepreneurial partner who wanted to try something new. This is categorically different. This is the chairman of a $4 billion firm saying, publicly, that he sees the future in AI-native legal delivery. That is not a career experiment. That is a conviction trade.

Norm Law’s Legal AI Advisory Committee reads like a regulatory who’s who: Ben Lawsky, former Superintendent of the New York Department of Financial Services. Troy Paredes, former SEC Commissioner. Dan Berkovitz, former SEC General Counsel and CFTC Commissioner. Tom Glocer, former CEO of Thomson Reuters.

This is not a startup playing dress-up with an advisory page. This is a company building regulatory credibility for the moment, and it is coming, when a bar association, a regulator, or a malpractice insurer asks whether an AI-native firm can be trusted with institutional-grade legal work. The answer has been pre-engineered.

Norm’s structure is the part most people miss. It is two entities. Norm AI, the technology company founded in 2022, builds a no-code platform that converts legal and regulatory frameworks into AI agent workflows. Its clients, global banks, hedge funds, insurers, asset managers, collectively manage over $30 trillion. These institutions already use Norm AI for compliance automation and regulated content review. That’s the recurring revenue engine and the training data source.

Norm Law, the firm launched in November, takes the same methodology and uses it to deliver actual legal services. The AI agents handle the production. The elite lawyers, Schmidtberger, Sorin, Rupe, Nadler, handle the judgment. Every engagement refines the AI. Every refinement makes the next engagement faster and cheaper. The tech company feeds the law firm. The law firm feeds the tech company. Blackstone sits at the center as both investor and anchor client.

Total funding: over $140 million, from Blackstone, Bain Capital, Vanguard, Citi, New York Life, Coatue, and individuals including Henry Kravis and Marc Benioff. The founder, John Nay, previously built and sold an AI-powered investment platform to Nuveen, one of the world's largest asset managers ($1.3 trillion AUM). He’s done this before in a regulated industry.

Norm Law is the most consequential player in this space, but it is not alone. Y Combinator, the startup accelerator behind Airbnb, Stripe, and Dropbox, published a Request for Startups in 2025 that said, explicitly: start your own law firm, staff it with AI agents, and compete with existing law firms.

Here is Jared Friedman of YC.

Its Winter 2026 batch delivered on the call.

General Legal, founded by the former CTO of Casetext (acquired by Thomson Reuters for $650 million), does flat-fee commercial contracts with same-day turnaround. Arcline, co-founded by a former outside counsel to OpenAI, serves 50+ startups with AI handling 80% of the work. LegalOS trained its agents on 12,000 successful immigration petitions and delivers visa applications in 48 hours. Vector Legal, built by alumni of Fenwick and YC Legal, offers a full-stack AI law firm and platform for startups.

Outside YC, Lawhive just raised $60 million with Google Ventures participating has $35 million in annual revenue, 7x year-over-year growth. Crosby raised $20 million from Index Ventures and Bain Capital, with Stripe’s CEO and Cooley as investors. In the UK, the Solicitors Regulation Authority approved Garfield.Law as the first purely AI-driven firm authorized to deliver regulated legal services. Legal tech funding hit $6 billion in 2025 with fourteen rounds exceeding $100 million.

The YC companies are the startup division; nimble, aggressive, going after SMBs and venture-backed companies at price points that make traditional firms irrelevant for that segment. Norm Law is the institutional division, going after the work that Simpson Thacher and Kirkland & Ellis consider theirs. Different weight classes, same thesis: AI does the production, humans do the judgment, and the client pays dramatically less.

If you are a partner whose practice is built on high-volume, process-heavy work like fund formation, compliance reviews, contract markup, due diligence, portfolio company support (many BigLaw partners’ comp/allocations are built on distributing this work to associates) - your revenue base (and compensation) is the precise target of these companies. Not the bet-the-company negotiation. Not the novel regulatory question. The base of those pyramids of work. The work that supports large associate classes billing at $500–$700 per hour to do things that AI can now do in minutes.

If you are an associate, the math is even more direct. If AI handles 80% of the production work that currently justifies your billing rate, the economic rationale for your role changes fundamentally. Not disappears; changes. The associates who will thrive are those who learn to work with AI systems, not those who compete against them. Law students should read that last line again.

And if you’re in firm leadership, the Blackstone signal is the one that should keep you up at night. When your largest client starts investing in your replacement and hiring your former leaders to build it, the relationship is no longer a moat. It’s a runway and the clock is counting down to the moment the economics flip and the work starts moving.

I keep coming back to one image. Blackstone writes a $101 million check to Kirkland & Ellis in 2024. Then it writes a $50 million check to fund the firm designed to make that first check smaller. Both checks cleared. Both were rational. And if you can’t see the trajectory those two data points describe, you are not paying attention.

The question for every lawyer reading this is not whether AI-native firms will take market share. That’s already happening. The question is whether you’ll be the one building the future of legal services or the one explaining to your partners why the revenue isn’t coming back.

A note from me: I’m not writing this from the sidelines. This semester I instigated two projects that show just how real this shift is. The first is with an Am Law 100 firm, where a student team is designing an AI-driven legal service line from scratch; new delivery model, new pricing structure, new economics. The second is with a university’s Office of General Counsel, building an AI-driven contracting system to self-manage contract updates and redesigning the faculty experience through AI. Both of these sit alongside my ongoing advisory work with elite law firms navigating this transition. What I can tell you is that the seriousness, the budget, and the senior commitment behind these engagements represent a step change from anything I’ve seen in previous cycles. This is not experimentation. This is infrastructure being built.

That is it for now. Talk soon again.

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