Blog

A practical guide to AI vendor disputes, including performance failures, hallucinations, misleading claims, confidentiality issues, product changes, and evidence problems. Many AI disputes will start as vendor disputes. A buyer expected one thing, the system did another, the records are messy, and the contract was written as if the product…

A practical guide to AI model licensing disputes, including access rights, scope limits, fine-tuning, sublicensing, output rights, termination, and evidence problems. AI model licensing disputes rarely begin as abstract technology debates. They usually begin when a contract leaves too much unsaid about access, scope, restrictions, outputs, updates, or responsibility after…

A practical guide to California AI arbitration, including neutral ethics, disclosure, confidentiality, privacy, consumer and employment sensitivity, and contract drafting issues. California matters in AI disputes because it combines technology concentration, active privacy enforcement, employment and consumer sensitivity, and a well-developed framework for neutral arbitrator ethics. This guide explains what…

A practical comparison of AI dispute resolution and litigation, including confidentiality, speed, cost, evidence, technical complexity, injunctive relief, and enforceability. Not every AI dispute belongs in arbitration, and not every court case should have been private. This guide compares AI dispute resolution and litigation across confidentiality, evidence, cost, speed, technical…

An AI arbitration clause does not need to be flashy. It needs to fit the contract. If the relationship could produce disputes over model access, training data, output quality, confidentiality, audit rights, privacy-sensitive information, or technical evidence, the clause should be reviewed with those realities in mind. This checklist is…

A practical explainer on the AAA-ICDR Guidance on Arbitrators’ Use of AI Tools, including accuracy, due process, independent judgment, disclosure, and confidentiality. AAA-ICDR’s March 2025 Guidance on Arbitrators’ Use of AI Tools is short, but it carries real weight. This explainer shows what the guidance says, what principles matter most,…

A practical explainer on the JAMS Artificial Intelligence Disputes Clause and Rules, including scope, commencement, emergency relief, evidence handling, and why they matter. JAMS made AI arbitration more concrete when its Artificial Intelligence Disputes Clause and Rules became effective on June 14, 2024. This guide explains what those rules are,…

A plain-English glossary of key AI dispute resolution terms, including arbitration, AI evidence, model licensing, training data, confidentiality, privilege, and procedural fairness. AI dispute resolution brings together technical language, legal language, and procedural language that often gets blurred in ordinary discussion. This glossary defines the key terms in plain…

Answers to common questions about AI dispute resolution, including arbitration, clauses, evidence, confidentiality, AI tools, and California-related issues. What is AI dispute resolution? What counts as AI evidence? Can arbitrators use AI tools? Does arbitration protect confidentiality? This FAQ page gives short, practical answers to the questions businesses, lawyers,…