In Los Angeles Superior Court, you can challenge AI-generated evidence by forcing the proponent to prove reliability under California Evidence Code §§ 801–802 and by obtaining disclosure of the model’s inputs, methodology, and error rates. As AI summaries, facial comparisons, “risk scores,” and synthetic media increasingly appear in criminal and civil cases, courts are scrutinizing […]
Courts can exclude AI deepfakes under at least 5 core Federal Rules of Evidence—401/402, 403, 901, 702, and 802—when authenticity, reliability, or prejudice can’t be cured. As synthetic media gets easier to create, litigators must be ready to attack manipulated audio, video, images, and “AI transcripts” before they shape the factfinder’s view. This article explains
A suspected deepfake video can be excluded or sharply limited in a California civil case by timely evidentiary objections, targeted discovery, and expert authentication challenges under the Evidence Code. Deepfakes raise unique risks of fabrication, altered metadata, and misleading “reality cues” that can sway juries if not addressed early. This article explains a step-by-step California
California courts can exclude AI-generated audio evidence unless the prosecution proves it meets the Kelly-Frye “general acceptance” standard and Evidence Code reliability requirements. As deepfakes and voice-cloning spread, criminal cases increasingly feature disputed recordings, jail calls, and “confessions.” This article explains how to challenge AI audio in California criminal court—motions, hearings, experts, and cross-examination strategies
Californians can challenge AI-generated evidence by attacking authentication, relevance, reliability, and prejudice under the California Evidence Code, and by invoking due process when the defense cannot meaningfully test the system. As AI outputs appear in criminal and civil cases—from deepfakes to automated “risk” scores—courts are being asked to decide what qualifies as trustworthy proof. This
