Experimentation of a smart learning system for law based on knowledge discovery and cognitive computing

This work presents a Smart Learning system based on Knowledge Discovery and Cognitive Computing techniques aimed at citizens, legal students and experts alike, providing them with the possibility of submitting legal cases expressed in natural language and obtaining legal insight and advice in return. Advanced features implemented within the system include the automatic conceptualization and classification of textual legal cases via natural language processing, the generation of learning paths by relying upon legal ontologies, and additional features for managing legal knowledge bases, including editing, versioning, integration and enrichment. The system has been experimented on a diversified user-base and succeeded in obtaining a positive evaluation with respect to the aspects that were subject of the investigation, including effectiveness, efficiency and usability, thus paving the way to make the system a successful cognitive learning platform for future law professionals and knowledgeable citizens.