AI litigation case law – a handbook of international practice
Students systematise non-US AI litigation - deepfakes, copyright, employment, privilege - by legal question, working toward a handbook for courts and practitioners.
In progress
Technology is moving faster than doctrine, and courts are already handling a substantial volume of AI-related disputes: complex deepfake cases, copyright claims, employment matters where an employee asserts their rights were violated because they were replaced by an automated system, questions of lawyer-client privilege, and more. Georgia is not exempt; domestic AI-related litigation has already begun.
Judges frequently face these cases without sufficient technical grounding in how the systems actually work, which makes the cases slower and harder than they need to be.
Method
Coursework assignments distribute the field by legal question rather than by jurisdiction. Groups of students take consumer law, employment law, criminal law, intellectual property and so on; search for relevant case law internationally; analyse it; and systematise it against the specific legal problems it resolves.
The collected materials are then reviewed, classified and systematised by legal issue and relevance, with the aim of identifying cases that provide useful guidance on emerging AI-related legal questions. The resulting collection will be developed into a published handbook of international practice, useful to courts, practising attorneys and researchers.
The United States already has several strong repositories and research resources covering AI-related case law. Comparable resources covering European and other non-U.S. jurisdictions remain more limited and fragmented. For this reason, the Lab focuses on non-U.S. case law, with particular attention to European and other jurisdictions, helping to build a broader international picture of AI litigation rather than duplicating existing U.S.-focused resources.
The idea for this project was inspired by the UCBP study visit to U.S. universities in November 2025 and discussions on the use of case-law databases and research tools in legal education and practice. The project also provides the foundation for the Lab’s DAIL Europe initiative, which aims to develop a dedicated resource for AI-related litigation in Europe.