Norm Ai has raised a $120 million Series C round at a $1.2 billion valuation, led by Khosla Ventures. The company builds agentic law systems that embed legal reasoning into AI agents, already serving financial institutions and other clients managing more than $30 trillion in combined assets. The round draws a rare mix of financial, legal, and venture capital investors, and brings Norm Ai's total funding to over $260 million since its founding less than three years ago.
Khosla Ventures, the first institutional investor in OpenAI, led the round. Participants included Blackstone, Bain Capital Ventures, Craft Ventures, Coatue, Vanguard, New York Life, TIAA, Tony James, Jeff Hammes, and Fenwick LLP. The company's approach pairs AI engineers with senior attorneys to build systems that embed legal rules directly into AI agents.
Agentic law and outcome-based pricing
Norm Ai powers Norm Law, LLP, an affiliated AI-native law firm that runs natively on the platform. Senior attorneys supervise, calibrate, and improve the AI agents, which deliver outside counsel services to institutional clients. Because Norm Law prices based on outcomes rather than hours, the benefits of AI flow directly to the client. That creates a client-aligned incentive structure, unlike model providers whose economics are tied to token usage or traditional firms tied to billable hours.
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 lawyers from Kirkland & Ellis, Simpson Thacher, Paul Weiss, Davis Polk, Skadden, Cleary Gottlieb, Latham & Watkins, Paul Hastings, Proskauer, and Pillsbury.
Institutional trust and supervisory AI
"AI will not transform regulated work until institutions trust it, and that trust is the hardest thing to earn in this market," said Samir Kaul, Managing Director at Khosla Ventures. "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."
Clients representing more than $30 trillion in assets under management deploy Norm Ai's legal AI agents directly within their in-house legal teams. The technology is also increasingly used to supervise other AI agents operating in regulated environments. When companies deploy their own AI agents in high-stakes roles, Norm Ai's agents can check that those systems perform appropriately.
"As AI capabilities race forward, one of the greatest opportunities is to build the interface between AI and the most legitimate encapsulation of human values: law," said John Nay, founder and CEO of Norm Ai. "We are building that interface in an increasingly agentic society to (1) align legal services with the client, and (2) align AI with human values."
The Series C will accelerate hiring, expand practice area coverage, and advance Norm Ai's supervisory agents for regulated enterprise AI deployments.
Why this matters for legal professionals
Norm Ai's growth signals a concrete shift toward AI-native legal services with outcome-based pricing-a model that challenges the billable hour and could reshape how corporate legal work gets done. For in-house legal teams, deploying AI agents directly offers a path to faster, more efficient workflows. For law firms, the rise of AI-native competitors like Norm Law, LLP adds pressure to rethink service delivery and pricing. As these tools evolve, legal professionals can turn to resources like AI for Law Firms Programs to understand how AI is being integrated into practice. The supervisory agent capability also addresses a growing need: ensuring that AI systems operating in regulated settings comply with legal and ethical standards.
Norm Ai builds agentic law, embedding law into AI agents. Its systems help govern how AI operates in high-stakes, regulated environments. For more information, visit norm.ai.
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