The domain of legal documents is one of those that would benefit the most from a wide development and application of NLP tools. At the same time, it typically requires a human with a high level of specialization and background knowledge to perform tasks in this context, which are difficult to transfer to an automatic tool. In this context, we are involved in multiple projects (e.g., CLAUDETTE, ADELE, LAILA, POLINE, PRIMA), which address tasks such as: argument mining, summarization, outcome prediction, detection of unfair clauses, information extraction, and cross-lingual knowledge transfer. Our purpose is to research and develop tools that can meaningfully impact the community. We are in close contact with teams of legal experts who can provide their expertise, and we have access to reserved datasets that can be used to develop automatic tools.
Apply Argument Mining techniques in legal documents.
Apply LLMs for the automatic detection of unfair clauses in Terms of Services and Privacy Policies documents.