Big Data evolution in the Italian judicial framework

The Big Data Analysis allows the management of large amounts of data of different nature and from various sources, having great importance also in judicial proceedings. In the investigative and judicial field, analysis of correlations, semantic enrichment and sentiment analysis have proved valuable tools for feedback of projective type: such a statistical analysis thus appears to be of fundamental support in judicial activity (1). Moreover, in Italy there have been massive investments in technological innovation with the promise of transforming justice into a quality service, increasing its ability to act in an effective, efficient, transparent way, and in line with the actual citizens’ expectations, allowing them to file a lawsuit and to forward it to the competent court, in an automated way. The process of technological innovation in justice is likely to produce items incompatible with a background that was designed for the manuscript, where the requests have been just applied to what was there in the past (2). This paper aims to describe the main statistical tools for innovative problem-solving of the jurists' activities, defining a horizon of application ranging from the study of regulatory and jurisprudential corpora through information extraction techniques, network analysis, application of complexity models, simulations for the study of law systems, jurisdictional procedures, and judicial phenomena (3).