Legal reasoning with transformers

This paper explores the application of transformer-based models, originally designed for natural language processing, to legal reasoning tasks. It demonstrates that these models can effectively understand and apply legal rules and principles to new situations, showcasing their potential in automating aspects of legal analysis and prediction. The research highlights the ability of transformers to capture the complexities of legal language and reasoning, paving the way for AI tools that can assist lawyers and legal professionals.