Norm Ai

agentic law

[John Nay @johnjnay]

AI agents are already doing business. Delaware is now moving to bring them inside a predictable American legal order.

Today in Fortune, Delaware Secretary of State Charuni Patibanda-Sanchez and I discuss a new legal entity: the Artificial Intelligence Company, a business run autonomously by AI agents.

Delaware is the most consequential jurisdiction in corporate law and Norm Ai is leading the public-private partnership to help further develop the AIC framework.

Pumped to partner with the State of Delaware to help set the norms for how AI agents operate in the U.S. economy.

https://t.co/Kld14kr1Eg

[Norm Ai @normativeai]

Yesterday, @JohnNay joined @jordihays and @johncoogan on @tbpn to discuss how @normativeai and @NormLawLLP integrate to deliver the full stack of legal AI, from the technology layer to active legal practice.

At Norm Ai and Norm Law, AI engineers work directly alongside the attorneys deploying agentic law across real matters. That proximity generates something unique: practitioner insight combined with live operational data, feeding back into the technology continuously.

Through this unique model, we’re reimagining legal workflows from first principles in service of our clients. Check out the segment starting at 2:11:00

[TBPN @tbpn]

Happy Tuesday. On today's show:

- @AlexHormozi (Acquisition)
- @joshzoff (CIV)
- @Johnmcelhone (American Turbines)
- @deenashakir (Lux Capital)
- @hussein_fazal (Super)
- @johnjnay (Norm Ai)

See you on the stream.

[Dylan Itzikowitz @ditzikow]

In under three years, @johnjnay has turned the vision he pitched as a solo founder into @normativeai (& @NormLawLLP), to a 200+ person NYC company that's redefining legal AI.

With a $120M Series C led by @khoslaventures, they're building agentic law at scale.

[COATUE @coatuemgmt]

@johnjnay @khoslaventures Congrats to portfolio company Norm Ai (@normativeai) on the Series C. Building the future of AI-native legal services.

[Bloomberg @business]

Norm Ai has raised $120 million from investors in a new funding round to help automate legal services and rethink how the industry bills for its work https://t.co/8fsREAXpT0

[TechCrunch @TechCrunch]

AI law startup Norm raises $120M, hits unicorn valuation https://t.co/LFoYTbqN1i

[Vinod Khosla @vkhosla]

Excited about this legal AI model!

[John Nay @johnjnay]

@business covered here

https://t.co/qPkjSKosMP

[Norm Ai @normativeai]

We’re excited to announce that Norm Ai has raised a $120 million Series C at a $1.2 billion valuation, led by @khoslaventures , with participation from @blackstone , @BainCapital , @CraftVentures, @coatuemgmt , @Vanguard_Group , @NewYorkLife , @TIAA , Tony James, Jeff Hammes, and Fenwick LLP.

This round reflects the trust Norm Ai has earned from institutions using legal AI for high-stakes legal and regulated work, and the conviction that law will be foundational to how AI is deployed in the enterprise.

“AI will not transform regulated work until institutions trust it, and that trust is the hardest thing to earn in this market. The most demanding buyers of legal services in the world already rely on Norm Ai. We led this round because John has built the only credible path to AI-native legal work at institutional scale.” - @SamirKaul1, Managing Director at Khosla Ventures

Norm Ai is building agentic law, embedding law into AI agents through collaboration among AI engineers, legal engineers, and attorneys. That work supports clients across their in-house legal teams, through @NormLawLLP , LLP, an affiliated AI-native law firm running on the Norm Ai platform, and through supervisory agents for regulated enterprise AI deployments.

Clients representing more than $30 trillion in assets under management use Norm Ai for high-stakes work. We’re grateful to our clients, investors, partners, and team as we continue building the full-stack model for legal AI.

[John Nay @johnjnay]

We just raised a $120 million Series C at a $1.2 billion valuation, led by @khoslaventures, to pursue the full-stack approach to legal AI.

Blackstone, Bain Capital, Craft Ventures, Coatue, Vanguard, New York Life, TIAA, Tony James, and Jeff Hammes (former Chairman of Kirkland & Ellis) also participated.

Norm Ai (@normativeai ) has now raised more than $260 million since I founded the company less than three years ago to build agentic law. We’ve built a team of more than 200, primarily engineers and attorneys, to embed law into AI agents.

Norm Law, an affiliated AI-native law firm running on the Norm Ai platform, uses those AI agents to serve clients like Blackstone as outside counsel, with attorneys supervising and improving the agents.

Because Norm Law runs natively on Norm Ai’s agentic law technology and prices based on outcomes rather than hours, benefits of AI can now flow directly to the client. This creates a client-aligned incentive structure, unlike model providers, whose revenue is driven by token usage, and traditional law firms, whose revenue is driven by billing hours of human labor.

The key distinction is the integration of the pricing model, the technology, and the people. Norm Law is chaired by Mike Schmidtberger, the former Chair of the Executive Committee of Sidley Austin. Other Partners include the former Global Head of Real Estate at Sidley Austin, a senior M&A Partner from Ropes & Gray, the General Counsel from Bain Capital Ventures, and key attorneys from Kirkland & Ellis, Simpson Thacher, Paul Weiss, Davis Polk, Skadden, Cleary Gottlieb, Latham & Watkins, Paul Hastings, Proskauer, and Pillsbury.

Clients representing more than $30 trillion in assets under management use Norm Ai software, deploying legal AI agents directly for their in-house legal teams. Norm Ai’s technology is increasingly deployed to supervise other AI agents operating in regulated environments. When companies deploy their own AI agents in high-stakes roles like communicating directly with clients about investment products, Norm Ai's agents check that those agents are in compliance.

The Series C will accelerate expanding practice area coverage and advance our supervisory agents.

[John Nay @johnjnay]

we’ve developed proprietary benchmarks for legal reasoning maintained by attorneys at Norm.

because Norm Law attorneys, while serving as outside counsel to hedge funds, PE firms, etc. deploy AI agents in their day-to-day work, we can uniquely build real legal AI benchmarking.

we've been tracking frontier models across generations, and the trend is clear: models are improving substantially in their legal reasoning capabilities.

the latest generation of models are nearly indistinguishable from each other in accurately answering legal questions.

most models are increasingly consistent, with the most recent generation of frontier models reaching the same conclusion ~90% of the time.

but for high-stakes legal work, even the best models on this benchmark reach a different answer often enough that, at scale, users receive contradictory answers to the same question every week.

to integrate ai agents into high-stales legal workflows, you need both (1) purpose-built systems that can constrain, verify, and govern AI reasoning automatically, and (2) the human overlay of expertise for live workflows fully intertwined/integrated w/ ai agents in a deliberate process.

[John Nay @johnjnay]

"We are about to be handed unimaginable power." -- @AlexBores

I sat down with Alex Bores last week to discuss AI politics & policy. Alex is running for U.S. Congress, and is at the center of AI politics after spearheading the NY state law on frontier AI model governance.

AI can provide incredible benefits to all of society. Drug discovery alone could crack diseases that have bedeviled us for generations. AlphaFold already won a Nobel Prize. And that's just the opening act.

But Alex thinks we're not currently on that trajectory because we haven't invested enough in alignment. He argued for setting incentives, building structures, ensuring the benefits are broadly shared.

"This might be one of the hardest things that humanity is ever going to have to do, but I don't think the hardest. I think we are capable of doing this. We're just going to have to actually work together, actually have honest conversations about what's possible, and meet the urgency of the moment."

[John Nay @johnjnay]

today we launched the Legal AGI Lab. AI agents are beginning to operate in highly regulated environments like healthcare and financial services.

but existing legal frameworks aren’t ready for this. And this creates a bottleneck for the agentic economy.

so we are conducting interdisciplinary legal & AI research on how agents should be governed, held liable, and measured and defining the legal architecture required for autonomous agents to operate safely in high-stakes environments.

Norm sits at a unique intersection: we build AI agents, we deploy them with institutional clients, and we power Norm Law, an AI-native law firm operating on live legal work. that feedback loop between building, testing, and deploying is what makes this research different.

[John Nay @johnjnay]

on monday night, i spoke with Jack Schlossberg and Alex Bores, both running for U.S. Congress.

AI has lower approval ratings than pretty much everything right now.

i asked Jack about his advice on how to better brand AI and he had a really interesting answer drawing on historical precedent: the Space Race.

Jack’s point was the genius of the american space program was to rally around a peaceful civilian mission to organize the energy and skill of the private sector to work in combination with the government to achieve. the impact of Apollo mission one went beyond technical achievement. NASA’s own description of the program frames it as a national effort with goals that extended far beyond the moon landing itself.

the same type of moonshot idea could be applied to AI. people need to be able to understand what these systems are for, why they matter, and what larger project they are part of. without that, technical progress risks far outrunning public backing

[John Nay @johnjnay]

https://t.co/QhtH7kZfUG

[tom glocer @tglocer]

John is 100% correct. What we're missing in deep professional market AI systems is the layer of assurance, supervision, orchestration, and audit -in brief, how to assure the humans who remain at the top of these workflows that the quality of execution is flawless

[John Nay @johnjnay]

https://t.co/DWatknbvQZ

[Reuters Legal @ReutersLegal]

Norm Law, a recently launched “AI-native” firm, said on Thursday that it hired the former executive committee chair of prominent law firm Sidley Austin to serve as its first chairman and lead its investment funds and regulatory practice. https://t.co/NBXzcN6NeW

[Dylan Itzikowitz @ditzikow]

🚀 @johnjnay is assembling an insane team at @normativeai

My LinkedIn feed is basically a nonstop stream of world-class talent joining them

[Dylan Itzikowitz @ditzikow]

It's been incredible watching how rapidly @johnjnay has built & scaled @normativeai. This week, they launched the first ever AI native white shoe law firm with a new investment of $50m from @blackstone