Legal reasoning with neural networks

This paper explores the use of neural networks to automate legal reasoning. It investigates how neural networks can be trained to predict outcomes in legal cases, addressing challenges such as dealing with complex legal rules and incomplete information. The findings suggest that neural networks can effectively learn legal rules and make predictions, opening up new avenues for AI applications in the legal domain.