Research & Analysis at the Intersection of Law, AI, and Cybersecurity GRC.
Idam05 provides research, analysis, POCs, and software projects focused in Legal, AI, and Compliance. We bridge the gap between technical execution and legal governance, specializing in Constiutional Law Analysis, Artificial Intelligence, and the NIST Cybersecurity Framework
Joe Donahue is a researcher and legal analyst focused on the intersection of law, technical execution and governance. He previously led product and engineering teams at Google, Meta, Elastic Security, Salesforce, and Microsoft. At Google, Joe led Product for YouTube Creator Support, and at Salesforce he served as Senior Director of Detection and Response. Joe is the founder of Idam05, where he developed the Temporal Territorial Bubbbles framework, the Human Creative Control (HCC) framework for AI copyright and a simulation model of AI-driven labor displacement currently under review at Computational Economics (Springer). His constitutional analysis of U.S. Birthright Citizenship was featured in Lawrence Solum's Legal Theory Blog and The New York Times. He holds an MBA from Indiana University's Kelley School of Business, served as an Adjunct Professor at Seattle University teaching Principles of Marketing and Product Management, and specializes in NIST automation and Constitutional analysis.
Analysis and a framework for U.S. Birthright Citizenship in the 20th Century.
Under review: Cato Institute.
Featured in Lawrence Solum's Legal Theory Blog
Featured in Adam Liptak's 'What I'm Reading' list in the New York Times 'The Docket' newsletter
View PaperFeatured in Lawrence Solum's Legal Theory Blog
View PaperUnder review at UCLA Law Review, The Discourse
View PaperDeveloping the Human Creative Control (HCC) framework including the "Repeatability Test" to distinguish between machine-autonomous output and human-authored expression.
Under review: Case Western: Journal of Law, Technology & the Internet.
View PaperA technical implementation designed to bridge the NIST AI Risk Management Framework (AI RMF 1.0) with the evidentiary requirements of the U.S. Copyright Office.
Under review: NIST AI Risk Management Framework.
View PaperThe AI-Driven Liquidity Squeeze. A simulation model exploring the race between Cost-Push Deflation (AI making goods cheaper) and Economic Enervation (labor losing the ability to pay for those goods). Tracks 35 million cognitive workers across five displacement scenarios using BLS and Federal Reserve data.
Under review: Computational Economics, Springer (2026)
Under review: AIES 2026
View PaperAnaysis of how conference consolidation exposes the limits of anti-trust in American Collegiate sports
Under review: Competition Policy International.
View PaperAnaysis of the impact of Private Equity on current antitrust issues and the momentum and impacts of an antitrust exemption
Under review: Harvard Journal of Sports and Entertainment Law Online
View PaperAutomating User, Data, and Production classification workflows using GRC-aligned LLM logic.
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