Visitors exploring this section will discover a wealth of content related to the role and significance of expert witnesses in legal proceedings. You will find video interviews with seasoned attorneys discussing how expert testimony can influence the outcome of trials, alongside articles detailing the qualifications and procedures for admitting such testimony in court. This resource serves as a comprehensive guide for understanding the impact of specialized knowledge on legal cases and the intricacies of courtroom dynamics.
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 […]
AI-generated risk assessment scores can add 6–12 months or more to a recommended sentence when courts treat “high risk” labels as aggravating. These tools—often based on proprietary algorithms—are now used in many jurisdictions at bail, probation, and sentencing, raising due process, confrontation, and reliability concerns. This article gives defense counsel a step-by-step strategy to identify
In California sentencing hearings in 2026, attorneys can challenge AI-generated risk assessment scores through discovery, evidentiary objections, and due process arguments grounded in California’s determinate sentencing framework. Courts are increasingly asked to rely on “risk” tools for custody, probation, and supervision decisions, even when the underlying model is opaque. This article explains practical motions, hearing
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
California judges must “consider” risk assessments at sentencing, but under People v. Dueñas (2019) and People v. Hernandez (2022), defense counsel can challenge reliability, notice, and due process—often winning limits or exclusion. COMPAS-style scores raise accuracy, bias, and transparency issues that matter under California’s evidence and sentencing rules. This article explains California-specific strategies to object,
Florida deepfake-defamation cases often turn on two proof pillars—(1) causation (the fake caused the harm) and (2) damages (the harm is measurable), and defendants commonly attack both. AI manipulation complicates identity, publication, and “actual malice” evidence, especially when content spreads across platforms. This article explains how Florida lawyers can prove causation and damages in an
How to Prove Causation and Damages in a Florida AI Deepfake Defamation Lawsuit Read More »
Courts in at least 20 states now use algorithmic risk assessment tools at some stage of criminal sentencing or supervision. These AI-adjacent scores can materially affect incarceration length, probation conditions, and release decisions. This article explains how defense counsel can challenge AI-generated risk scores under Daubert/Frye, procedural and substantive due process, confrontation principles, and practical
Challenging AI-generated evidence in California state court typically requires 5 moves: early preservation demands, targeted discovery, authentication objections, expert-driven reliability attacks, and tailored motions in limine. California’s Evidence Code and Civil Discovery Act already provide strong tools to expose how a model produced (or fabricated) an output. This guide explains practical objections, discovery requests, expert
AI risk scores can affect bail and sentencing outcomes, and California courts must protect a defendant’s due process rights when such tools are used. Across California criminal sentencing hearings, judges increasingly encounter algorithmic “risk assessment” inputs from probation or pretrial services. This article explains practical, California-focused ways to challenge AI-generated risk scores through discovery, evidentiary
Yes—an AI-generated witness statement can be admitted in court, as a judge has now allowed such evidence in at least one case. The ruling signals that AI outputs may be treated like other digital records, but only if parties can meet authentication, reliability, and hearsay requirements. This article explains what the decision means, the legal
Can AI Testify in Court? A Judge Just Said Yes. Read More »
