Overview

Digital Evidence and Artificial Intelligence Under the Federal Rules of Evidence (2026 Textbook Edition) A comprehensive, practice-ready guide to AI and digital proof in U.S. courts. Overview: This 2026 edition delivers a rule-by-rule analysis of the Federal Rules of Evidence through the lens of modern technology. Written for law students, litigators, judges, and forensic professionals, it connects core evidentiary doctrine to today's realities-cloud records, metadata, algorithmic outputs, and synthetic media. What You'll Learn Authentication & Integrity: Digital provenance, hashing, chain of custody, Rules 901 and 902(13)-(14). AI-Generated Evidence: Reliability, transparency, and the contours of proposed Rule 707. Hearsay & Machine Output: When automated records are statements under Article VIII-and when they are not. Expert Testimony: Applying Rule 702 (as amended) and Daubert/Kumho to digital forensics and AI systems. Deepfakes & Rule 403: Managing prejudice and juror persuasion in an era of synthetic media. Cloud Business Records: 803(6), 902(11)-(12) certifications, provider affidavits, and cross-border data issues. Ethics & Confidentiality: ABA duties of technological competence, privilege, work product, and AI governance. Practice Tools: Checklists, chapter summaries, review questions, and case references for coursework and court. Who It's For Law students and professors (Evidence, Technology Law, E-Discovery) Litigators, in-house counsel, and forensic experts Judges and policymakers addressing AI in the courtroom Highlights of the 2026 Edition Up-to-date coverage of FRE amendments and emerging proposals (including AI-focused reforms). Integrated treatment of cloud logs, blockchain provenance, and quantum-era authentication concepts. Pedagogical features for academic use: key terms, review questions, and suggested readings in every chapter. Where technology meets jurisprudence, this textbook defines the next era of legal proof.

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