Algorithms and Precedent: How AI Can Provide Open-Access Legal Resources
Dr. Samuel Dahan is an assistant professor in the Faculty of Law and a Queen鈥檚 National Scholar. He is the director of the Conflict Analytics Lab at Queen鈥檚 University, a LegalTech global consortium on the application of data analytics and AI to dispute resolution and negotiation. Dr. Dahan has worked as a legal secretary to the Court of Justice of the European Union and as a legal advisor for the Comparative Law Unit of the French Administrative Supreme Court. His research focuses on regulatory responses to the euro crisis from an empirical data perspective. He is also a nationally medaled athlete in Taekwondo.
In this episode, Dr. Dahan discusses the Conflict Analytics Lab and his open-access work training machines to read law texts and extract the relevant information, typically the precedent, to assist lawyers and self-represented litigants in their research. He also discusses the limitations of algorithms in predicting subjective outcomes in judicial decision making.
Please visit the for more information about Dr. Dahan鈥檚 research.
Algorithms and Precedent: How AI Can Provide Open-Access Legal Resources
