United States v. Heppner: Generative AI, Privilege, and Work Product
A practical, SEO-friendly summary of United States v. Heppner and what it means for generative AI, attorney-client privilege, work product, and law firm AI governance.
Sources Cited
Public summaries of cases, policy materials, and AI-governance sources behind the CounselCore position on sovereign in-house legal AI.
These materials support the core CounselCore argument: law firms and legal departments need AI systems that preserve privilege, keep evidence in their custody, and avoid exposing sensitive matter data to uncontrolled cloud workflows.
A practical, SEO-friendly summary of United States v. Heppner and what it means for generative AI, attorney-client privilege, work product, and law firm AI governance.
A practical summary of Miller v. Regions Bank and its lessons for AI-generated legal research, false authority, candor, and evidence preservation.
A clear summary of Mata v. Avianca, the landmark sanctions order involving ChatGPT-generated fake cases and the legal duty to verify AI research.
A practical summary of Park v. Kim and what it teaches about AI-generated citations, appellate filings, and professional responsibility.
A practical summary of Kruse v. Karlen and its warning about fictitious AI-generated cases, appellate briefing, and frivolous appeals.
A practical summary of Kohls v. Ellison and its lessons for expert declarations, deepfake litigation, AI hallucinations, and evidentiary reliability.
A practical summary of Anthropic’s Fable 5 and Mythos 5 access statement and what it signals about AI governance, model access, and institutional risk.
Use these source summaries as a starting point for a confidential briefing on in-house AI, privilege, evidence custody, and governance controls.