Norm AI, a company that builds AI agents for legal applications and was formerly known as Nomos Ai Inc., has closed a $120 million Series C round that values the company at $1.2 billion. Khosla Ventures, a venture capital firm, led the round. Participating investors included Blackstone, Bain Capital Ventures, Craft Ventures, Coatue, Vanguard, New York Life, TIAA and Fenwick LLP, a law firm. Individual investors joining the round included Tony James, former president of Blackstone, and Jeff Hammes, former Chairman of Kirkland & Ellis.
The round brings total capital raised since Norm AI's founding to more than $260 million. The company plans to deploy the new capital toward hiring, expanding into additional legal practice areas and building out what it describes as a supervisory agent framework for enterprise deployments.
Norm AI's platform places AI agents into the legal workflows of client organizations, where they are built and refined under the supervision of attorneys. The agents are designed to function alongside in-house legal teams rather than replacing them, with human legal experts retaining final judgment over AI-generated work. A notable application is the use of these agents to monitor other AI systems and AI-driven legal processes, adding a verification layer before output reaches human review.
The company's clients collectively manage more than $30 trillion in assets. Norm AI charges for outcomes rather than hours, which the company said passes AI-driven efficiency gains to clients rather than billing for time spent. The approach contrasts with traditional legal billing models tied to hourly rates.
John Nay, co-founder and CEO, described what the company sees as the fundamental challenge its technology addresses: "The rapid advancement of AI presents a profound opportunity to bridge the gap between artificial intelligence and the foundational principles of human values, embodied by the law." Nay has argued that as agentic technologies become more widespread across industries, AI systems will need to align more closely with legal and ethical requirements.
