The search for relevant case law is a difficult task to automate, as the reasoning behind the relevance assessment does not translate into clear and scalable rules. The similarity of the circumstances, the legislation references, the reasoning underlying the legal qualification, the argumentation path, can all be used to evaluate relevance. The level of needed legal expertise limit the availability of properly annotated data. Generalized Language Models tackle the issue of having few data available for machine learning, we will explore how they can perform in this specific task, what limitations do we have to consider and how to move forward. Julien RossiJulien Rossi JULIEN ROSSI Lecturer, Researcher THEME