Scuola Superiore Sant’Anna - Computational methods for structured and complex legal data

The project will develop and apply methods for analysing structured, heterogeneous and multimodal legal data. One research strand will examine the structure and evolution of networks:citations, relationships between judgements, provisions and legislative texts, and networks arising from criminal investigations. Relevant entities, roles, relationships and emerging communities will be identified.The other strand will develop and deploy AI techniques to extract information from heterogeneous and multimodal data, explaining the results and linking the outputs to the training set to increase confidence in black-box models. Applications will focus on the study, support and improvement of administrative efficiency in legal proceedings, as well as the assessment of any potential infringements of rights arising from AI outputs. Within the framework of EMbeDS and DIRPOLIS, multidisciplinary collaborations and high-impact applications in the social sciences will be promoted