A Service Infrastructure for Management of Legal Documents

Managing legal documents, particularly court judgments, can pose a significant challenge due to the extensive amount of data involved. Traditional methods of document management are no longer adequate as the data volume continues to grow, necessitating more advanced and efficient systems. To tackle this issue, a proposed infrastructure aims to establish a structured repository of textual documents and enhance them with annotations to facilitate various subsequent tasks. The framework is designed with sustainability in mind, allowing for multiple services and applications of the annotated document repository while taking into account the limited availability of annotated data. By employing a combination of machine learning and syntactic rules, a set of Natural Language Processing (NLP) services pre-processes and iteratively annotates the documents. This approach ensures that the resulting annotations align with the organizational processes utilized in Italian courts. The solution’s feasibility was demonstrated through experiments that employed different low-resource methods and solutions, effectively integrating these approaches in a meaningful manner.