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John Nay

John Nay is the founder and chief executive officer of Norm Ai, a New York City-based company that builds regulatory AI agents for compliance in financial services and other regulated industries [1][2][3]. Before founding Norm Ai in 2023, he was the founding chief executive of Brooklyn Investment Group, an AI-driven investment firm that operated a wholly owned SEC-registered investment adviser subsidiary, an experience he has cited as giving him direct exposure to building and running a formal compliance program [6]. He combined that practical background with roughly a decade of academic research on how machine learning systems can interpret law and policy, holding appointments including a fellowship in AI and law at Stanford's CodeX center and a visiting scholar position at Vanderbilt Law School, and he has said these two threads, compliance practice and legal-AI research, converged in the founding of Norm Ai [6].

At Norm Ai, Nay describes the company's core activity as converting regulations and firm-specific policies into what he calls regulatory AI agents, systems that automatically perform a first-pass compliance assessment within a live workflow rather than functioning as a passive reference tool [6]. He explains that the company builds these agents by translating a given regulation into a detailed decision process, tailoring that process to how an individual client interprets and intends to apply the rule within its own operations [6]. As an illustration, he points to consumer-facing content review, where the system analyzes marketing or disclosure material upstream in production so that compliance staff can catch missing disclosures or required wording before the material is published [6]. He emphasizes that internally certified lawyers, many previously at large law firms, build, supervise, and validate each regulatory AI agent, and that a human reviewer remains positioned to supervise the system's output and probe its underlying reasoning [6].

Nay draws a distinction between what he terms "agentic law," the embedding of legal and regulatory logic directly into autonomous AI agents, and the more familiar use of AI as a co-pilot that assists a human step by step [5]. In his framing, a co-pilot produces one-off efficiency gains that are largely discarded once a task is finished, whereas an agent completes fuller passes of a process autonomously in the background, generating outputs whose capabilities and limitations can be benchmarked, studied, and systematically improved over time [5]. He argues that this same agentic infrastructure serves two purposes at once: automating routine first-pass legal and compliance work, and providing the oversight mechanism needed to govern other AI agents as they take on tasks once performed by humans, such as delivering investment advice directly to clients [5]. He cites Norm Ai's involvement of former SEC commissioners in its compliance testing as an example of applying this oversight to high-stakes financial applications [5].

Nay has also framed Norm Ai's product roadmap around what he sees as an approaching inflection point at which large language models can reliably understand law and policy, a development he says makes commercial deployment of regulatory AI agents newly viable [6]. He has extended this reasoning to Norm Law, described as an AI-native law firm built on the same underlying agentic architecture, reflecting his broader thesis that legal and regulatory functions can be restructured around AI agents operating with human supervision rather than as tools consulted by human professionals on a task-by-task basis [5][7].

Founded

Education

Media & appearances

  • What Is an AI-Native Law Firm? John Nay on Norm AI and Norm LawAI and the Future of Law Podcast

    John Nay discusses agentic law, which he defines as embedding law into AI agents to automate legal and regulatory operations and govern AI systems. He explains how Norm AI uses AI agents autonomously in the background for legal processes, distinguishing this from AI co-pilots, and describes how the company applies compliance testing and legal oversight—including involvement of former SEC commissioners—to high-stakes applications like investment advisory services.

  • Interview with Norm AI CEO John Nay: Building Compliance AI in FinanceBenzinga

    John Nay discusses how Norm AI turns regulations and firm policies into regulatory AI agents that automatically assess compliance for first-pass review in live workflows. He explains that the company converts detailed regulatory processes into decision frameworks tailored to each client's interpretation and deployment needs, with examples including analyzing content upstream to flag compliance issues like missing disclosures before business publication.

  • What Is an AI-Native Law Firm? John Nay on Norm AI and Norm LawAI and the Future of Law · Jul 21, 2026

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