Legal Argument Mining: Recent Trends and Open Challenges

This paper presents a brief survey of recent trends in legal argument mining, focusing on the early use of large language models in this subfield. As legal texts, especially judicial decisions, increase in volume and complexity, the need for effective tools to extract and analyse legal arguments becomes more pressing. The paper outlines key datasets and tasks in legal argument mining, and identifies challenges and open issues to guide future research.