Commercialising legal neural networks

This paper argues that neural networks are an appropriate artificial intelligence technique for legal practice. It outlines the technical basics for neural networks, and shows that they can provide a useful statistical model for predicting the outcome of cases. The paper then reviews a number of legal theories which provide the legal basis for the use of neural networks in law. Finally, it presents seven lessons from research examples which practitioners must bear in mind if they wish to build successful legal neural networks