Future of AI in ADR

For Mediation Week 2025, I will recount my observations from attending the American Arbitration Association's (AAA) Future of Dispute Resolution Conference in New York, dealing with the advent of Artificial Intelligence (AI). Taking place at Cardozo Law School in conjunction with CPR Dispute Resolution and sponsored by the Practising Law Institute (PLI), this dynamic conference with Alternative Dispute Resolution (ADR) professionals, lawyer advocates, in-house counsel, programmers and developers explored how AI is transforming arbitration, mediation, and online dispute resolution (ODR). Legaltech innovators, institutional leaders and practitioners had quite interactive debates, a live demonstration of AAA's upcoming AI-trained construction arbitration product being launched next month (still requiring human oversight), and some real-world case studies. Humans are not being replaced, rather augmented in their skills and time management. Experience in the field cannot be simply replaced by machine, though AI's influence on dispute prevention cannot be understated. It will impact process, integrity, ethics and certainly case resolution outcomes. At the conclusion of the program, dispute resolution pioneer, Colin Rule, opined that AI was really better suited as a tool to help both parties and neutrals in mediation, moreso than arbitration. The Future Dispute Resolution New York Hackathon the following day was hosted at AAA in Manhattan and included the Wolters Kluwer Arbitration team. This collaborative workshop paired neutrals with staff technologists and coders. Building on the success of the Future Dispute Resolution Hague Hackathon, our teams brainstormed in the morning and developed next-gen ADR demos in the afternoon, aiming to make dispute resolution processes faster, more equitable, and less expensive. The presentations from nine teams at the end of the day were quite impressive, given the compressed time to develop apps. Our team created "NeutralLens" an AI product for more efficiently distilling document submissions. For accuracy, our team utilized a Retrieval Augmented Generation (RAG) an AI framework that enhances a large language model (LLM) by allowing it to retrieve relevant information from an external knowledge base to produce more up-to-date and trustworthy responses. It was all very inspiring and we hope will lead to a better experience for those utilizing ADR to get better access to justice outside the court system. See more here-- https://go.adr.org/2025-future-of-dispute-resolution-hackathon and https://www.adr.org/news-and-insights/ai-in-construction-disputes/