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A practical explainer on Ciarb’s Guideline on the Use of AI in Arbitration, including party use, arbitrator use, disclosure, tribunal powers, and model language. Ciarb’s Guideline on the Use of AI in Arbitration is one of the most detailed institutional treatments of AI use in arbitral proceedings. This explainer shows…

A practical AI evidence preservation checklist covering prompts, outputs, logs, version history, incidents, internal records, and confidentiality controls. If an AI dispute looks likely, evidence can disappear or become ambiguous quickly. This checklist helps businesses and counsel preserve the records that usually matter most: prompts, outputs, logs, versions, evaluations, incident…

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,…