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John Nay

Founder & CEO, Norm Ai | Fellow, Stanford Center for Legal Informatics (CodeX)

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Verified Proof of Work Artifacts

2 items cataloged

Each artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by John Nay. Every entry undergoes editorial source verification.

RESEARCH Checked Sep 20, 2026

Law and Artificial Intelligence: A Comprehensive Computational Framework

A foundational academic paper by Dr. John Nay analyzing the intersections of computational legal reasoning, automated statutory interpretation, and regulatory compliance agents.

Model & Execution Context:Transformer models evaluated on legal benchmark datasets and regulatory statutes.

Scope & Limitations

Theoretical and legal analysis; statutory compliance automation requires jurisdiction-specific legal review.

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RESEARCH Checked Sep 20, 2026

Large Language Models as Regulatory Compliance Agents

Empirical legal research translating statutory regulations, securities rules, and marketing compliance guidelines into deterministic agent evaluation engines.

Model & Execution Context:Legal knowledge graphs, regulatory text parsing, and compliance agent evaluation.

Scope & Limitations

Complex statutory ambiguities require licensed human legal counsel review for final legal liability determination.

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