Company profile
Norm Ai
Building agentic law by embedding law into AI agents for regulated environments.
- Category
- Legal AI
- Headquarters
- New York, NY
- Sells to
- Enterprise
- Business model
- Other
- Deployment
- Cloud / SaaS
- Pricing
- Not published
- Builds own models
- Yes
- Modalities
- Not stated
What Norm Ai does
Norm Ai builds agentic law, embedding law into AI agents that operate in high-stakes, regulated environments. The company's client base represents more than $30 trillion in combined assets under management. Norm Ai also powers Norm Law, the first AI-native law firm built for institutional clients. Norm Ai was built by attorneys, AI engineers, and legal engineers encoding practice into AI systems that operate at scale. The company focuses on aligning legal services with the client and AI with human values, grounded in over a decade of applied AI research in legal and regulatory reasoning.
Products
- Norm LawNorm Ai's affiliated law firm, where law is practiced and encoded, and the world's first fully AI-native law firm for global institutional clients. Norm Law, LLP is an independent law firm, and Norm Ai is a technology and service provider to Norm Law. All legal advice or services are provided solely by Norm Law, through its fully-licensed attorneys.
- Norm TechnologyAI agents built by domain experts to automate legal and compliance tasks.
- Supervisory AIThe verification layer for every AI agent.
- Legal AGI LabThe R&D arm advancing Legal AGI and the science of AI agents being governed by human law.
Key capabilities
- Agentic law
- Automation of legal and compliance tasks
- Legal AI agents built for business
- Agents built, tested, and refined by attorneys before deployment
- Firm-specific standards, risk posture, and institutional context encoded into the system
- Senior judgment at scale (AI handles volume, senior attorneys focus on decisions)
Use cases
- Automation of legal tasks
- Automation of compliance tasks
- Encoding legal expertise directly into AI agents
AI approach
Norm Ai builds agentic law, embedding law into AI agents that operate in high-stakes, regulated environments. They conduct foundational research on agentic law at the intersection of AI and legal theory, and have formalized a new discipline called Legal Engineering. Legal Engineers are non-practicing attorneys who translate legal judgment directly into AI systems. They also have a Legal AGI Lab for R&D.
Tech named: AI agents, Supervisory AI, Legal AGI
What it says sets it apart
- Agentic law approach
- Proprietary AI agents built by domain experts (attorneys, AI engineers, legal engineers)
- Supervisory AI for verification
- Outcome-driven pricing (tied to outcomes, not hours)
- Built around the client (encoding firm-specific standards, risk posture, institutional context)
- Focus on aligning AI with democratically-determined law and human values
- Grounded in over a decade of applied AI research in legal and regulatory reasoning
- First AI-native law firm (Norm Law) for institutional clients
Funding rounds we track
Khosla Ventures, Blackstone, Bain Capital Ventures, Craft Ventures, Coatue, Vanguard, New York Life, TIAA, Fenwick LLP, Blackstone Group, Bain Capital, Citi Ventures, Coatue Management, New York Life Ventures, Blackstone Innovations Investments, Bain
Coatue Management, Craft Ventures, Vanguard, Blackstone, Bain Capital, New York Life Ventures, Citi Ventures, TIAA
Coatue, Bain Capital Ventures, Blackstone Innovations Investments, New York Life Ventures, Citi Ventures, TIAA Ventures, Jefferson River Capital, Blackstone
Coatue, Haystack Ventures, M13 Ventures, Basis Set Ventures, Expa Ventures, Atypical Ventures
From the AI funding tracker — rounds as reported by the linked publications.
This profile was compiled from Norm Ai's own public pages in July 2026 and reflects what the company states about itself — not an endorsement or an independent audit of those claims. Facts are extracted with AI and filtered by an automated check that drops any named product, customer or certification missing from the source pages. Full method. Something out of date? Tell us.