Criminal Case Law Analysis with Generative AI Support

An Approach for Extracting Crime-Constituting Facts

Abstract

In the study of criminal law, the analysis of a large number of criminal cases is essential. However this taskrequires considerable human costs and time. In our research, we have created a system that automates case lawanalysis using generative AI, specifically utilizing the GPT-4. This system is designed to automatically extract factsfrom criminal cases that fulfill the requirements for establishing a crime, which are called the elements of crime.To evaluate the performance of our system, we conducted experiments with two types of crimes and asked legalexperts to create the correct answer data. As a result, over 80 percent of the extractions overlapped with the correctanswers, adaptively reflecting the characteristics of each legal expert. Furthermore, the quality of extraction wasfound acceptable from the perspectives of legal experts. On the other hand, the cases where the extracted parts aresummarized or insufficient extraction need improvement.