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SCI."],"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:p>Managing legal documents, particularly court judgments, can pose a significant challenge due to the extensive and continuously growing volume of involved data. The IDJ platform proposed in this paper aims to tackle this challenge by providing knowledge-driven services designed to enforce the streamlined management of legal documents. The IDJ platform consists of a set of modules, repositories, and data flows that interoperate to realize service pipelines enforcing legal document analytics and exploration processes based on a combination of Natural Language Processing (NLP), machine learning, and syntactic rules. In the paper, we describe two service pipelines enforcing knowledge-driven processes over legal documents, namely the entity-based document analytics, and the concept-based document exploration. 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