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Legal management systems typically focus on specific tasks, pursuing organizational improvement, documentation management, and decision-making. This contribution explores automatic classification, taxonomic alignment, information extraction, and legal context analysis in a real case study. We propose a practical application that does not consider the different tasks separately but integrates them into an online platform with the objective of cataloguing, indexing and enabling semantic search by legal context. The first results demonstrate the ability to perform several tasks on the same legal domain, by addressing domain experts through a unified legal management system.

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A Practical Application of Artificial Intelligence Techniques for Legal Context Analysis

  • 会议论文

  • 发表日期：

    2025年

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  • Ilaria Angela Amantea,
  • Guido Boella,
  • Chiara Bonfanti,
  • Michele Colombino,
  • Luigi Di Caro,
  • Giorgia Iacobellis,
  • Susanna Marta,
  • Rachele Mignone,
  • Marianna Molinari,
  • Ivan Spada,
  • Emilio Sulis,
  • Laurentiu Jr Marius Zaharia

摘要

Legal management systems typically focus on specific tasks, pursuing organizational improvement, documentation management, and decision-making. This contribution explores automatic classification, taxonomic alignment, information extraction, and legal context analysis in a real case study. We propose a practical application that does not consider the different tasks separately but integrates them into an online platform with the objective of cataloguing, indexing and enabling semantic search by legal context. The first results demonstrate the ability to perform several tasks on the same legal domain, by addressing domain experts through a unified legal management system.