Research Blog / Data Repository
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
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
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
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
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
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,
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
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
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
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