Norm Ai
Regulatory AI agent platform that converts laws, regulations, and corporate policies into executable compliance agents, checking content and actions against the rules and flagging violations in seconds.
Norm Ai is the regulatory artificial intelligence agent company. Founded by chief executive John Nay, a researcher who has worked at the intersection of AI and law for more than a decade, the company has raised over eighty seven million dollars from investors including Coatue, Craft Ventures, Vanguard, Blackstone, Bain Capital, Citi Ventures, and Marc Benioff. Its purpose is to turn regulatory requirements, legal obligations, and corporate policies into intelligent systems that live inside everyday business workflows, reducing work that used to take days into minutes for chief compliance officers at firms from the Fortune 100 to small businesses.
The heart of the product is a proprietary Legal Engineering Automation Platform, called Leap, that lets lawyers and former regulators encode complex policies into operational Regulatory AI Agents. Norm built a programming language that represents government regulations and corporate policies as decision trees, which large language models then execute. These agents can reason over enormous rulebooks, from the Social Security Act to the Affordable Care Act, and reach a compliance determination in seconds with a clear, actionable explanation of any problem. The approach is described as compliant by design, weaving regulatory checks directly into how work gets done rather than bolting them on afterward.
In practice, each time an employee submits new material, whether AI generated content, internal communications, agreements, marketing, or sales collateral, Norm's agents automatically scan it against the relevant rules. When something is a problem the agent explains why in plain language and proposes a fix, then implements its recommendation once a human approves. Norm has also shipped a compliance agent for Microsoft 365 Copilot to bring these checks into the tools people already use, and it positions Regulatory AI as a verification layer for the behavior of other AI agents operating under law.
The company treats this as a new discipline it calls legal engineering, staffed by non practicing attorneys from top firms alongside AI engineers from Google, Palantir, and Meta. Former Securities and Exchange Commission Commissioner Troy Paredes leads capital markets strategy, and Norm convenes regulators and industry leaders through its own forum on AI, law, and policy. The result is a growing library of Regulatory AI Agents that cover current rules across jurisdictions and let large, heavily regulated institutions run faster and more consistent compliance programs.
Vendor details
Canonical URL
https://norm.ai
Category
Enterprise operations agent
Company status
independent
Use cases & customers
In practice
An asset manager wants to publish regulated marketing content fast. Instead of a multi day legal review, Norm's agent scans each draft against the relevant securities rules in seconds and explains what to change.
A compliance officer at an insurer must keep pace with changing rules across states. A Norm Regulatory AI Agent encodes each framework, so every new document is checked automatically and consistently rather than by hand across scattered teams.
A firm rolling out Microsoft 365 Copilot worries that AI generated text could breach policy. Norm's Copilot compliance agent verifies that generated content adheres to internal and regulatory rules before anyone relies on it.
Sources & related URLs
Research notes
Regulatory AI agent company; CEO/founder John Nay; $87M+ raised (Coatue/Craft/Vanguard/Blackstone/Bain/Citi/TIAA/NY Life/Benioff); Leap (Legal Engineering Automation Platform) = lawyers + ex-regulators encode regulations/policies into Regulatory AI Agents; proprietary language represents regs as decision trees executed by LLMs; compliant-by-design (embeds compliance checks into content/comms/agreements/marketing); agents auto-scan submitted material, determine in seconds, explain, implement on human OK; compliance agent for M365 Copilot; verification layer for other AI agents under law; library of Regulatory AI Agents across jurisdictions; Troy Paredes (ex-SEC Commissioner) heads capital markets strategy; Stanford CodeX research; serves Fortune 100 CCOs/banks/insurers/asset managers; Norm Law (AI-native law firm, separate). Domain norm.ai.
Capability coverage
4.5 / 14 capabilities · 32%
| Integrations & Tool CallingNorm embeds compliance checks into business workflows and ships a compliance agent for Microsoft 365 Copilot, real integration into where work happens, though a broad catalog of prebuilt connectors was not documented, so partial. | Partial |
|---|---|
| Workflow OrchestrationNorm's agents automatically scan submitted material, reach a compliance determination in seconds, explain problems, and implement approved recommendations, an automated compliance review flow short of full autonomous multi step process orchestration, so partial. | Partial |
| Knowledge Grounding & RAGNorm encodes government regulations and corporate policies as executable decision trees that its agents reason over, grounding every determination in the specific rule and returning a clear explanation of the violation, so full. | Full |
| Human Oversight & GuardrailsNorm is a compliant by design verification layer that checks content and actions against encoded rules, flags violations with explanations, gates implementation on human approval, and can govern other AI agents operating under law, so full. | Full |
| Security, Identity & GovernanceNorm serves chief compliance officers at Fortune 100 firms and major banks, but named security certifications, single sign on, or role based access controls could not be verified in public sources. | Unable to verify |
| Observability & AuditabilityNorm generates detailed compliance reports with clear, actionable explanations for every determination and can analyze other AI agents' behavior against the law, strong reporting short of a documented comprehensive per action audit trail, so partial. | Partial |
| Memory & State PersistenceNorm encodes regulations into reusable agents, but a first class persistent cross session agent memory could not be verified. | Unable to verify |
| Deployment & Data ResidencyNorm is delivered as an enterprise compliance platform, but a self host, on premises, or dedicated data residency deployment could not be verified. | Unable to verify |
| Prebuilt Agents, Templates & PacksNorm offers a growing library of Regulatory AI Agents covering current rules across jurisdictions that firms deploy, a strong curated pack short of a self serve browsable marketplace of cloneable agents, so partial. | Partial |
| Triggers & Channel CoverageNorm scans material automatically each time an employee submits new content, an event driven trigger embedded across content and communication workflows and Microsoft 365 Copilot, short of broad omnichannel coverage, so partial. | Partial |
| Model Flexibility & RoutingNorm's agents are powered by large language models internally, but user facing multi provider model routing or selection could not be verified. | Unable to verify |
| APIs, SDKs & MCP ExtensibilityNorm builds compliance agents that embed into workflows and Microsoft 365 Copilot, but a public developer application programming interface, software development kit, or Model Context Protocol server could not be verified. | Unable to verify |
| Testing, Debugging & OptimizationNorm's legal engineers build and validate its regulatory agents, but a first class user facing testing, debugging, or optimization framework could not be verified. | Unable to verify |
| Browser & Computer UseNorm scans documents and content within workflows, but general browser or computer use as a first class capability could not be verified. | Unable to verify |
Pricing
Contact for pricing
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