This report presents a critical discovery regarding the integrity of the Enron Email Corpus, a foundational dataset in digital forensics and natural language processing. Using a novel AI-driven review system characterized by "Critical Biasing"—where the AI is instructed to prove the innocence (non-relevance) of every document—we identified internal communications from July 2000 that explicitly discuss the systemic ability to impersonate senior executives within the Enron email environment. This finding raises a Serious Doubt on the Authenticity of the entire corpus as legal evidence.

This paper contains an error in the date. The correct date is April 5, 2026. Version 2, with the corrected date, is available. The content is the same in both versions.