Performance in the Courtroom: Automated Processing and Visualization of Appeal Court Decisions in France

Both [1, 11] suggests "the ease of in the legal domain. We extract legal indicators from judicial access to information" is a solution to address the gap in accessing judgments to decrease the asymmetry of information of the legal justice. Access to free basic legal information could help the user system and the access-to-justice gap. We use NLP methods to extract to navigate the justice system easily, understand better the legal interesting entities/data from judgments to construct networks area his problem falls into, and choose a lawyer with experience of lawyers and judgments. We propose metrics to rank lawyers on the subject matter of the dispute. In our work, we extract and based on their experience, wins/loss ratio and their importance in represent information from past judgments to increase the transparency the network of lawyers. We also perform community detection in of judicial procedures and make them more accessible to the network of judgments and propose metrics to represent the laypersons.