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A Practical Application of Artificial Intelligence Techniques for Legal Context Analysis

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Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2133))

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Abstract

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.

C. Bonfanti—This author contributed mainly to the analysis of Principles of Law.

M. Colombino, G. Iacobellis and L. J. M. Zaharia—This author contributed mainly to classification and alignment tasks.

R. Mignone and I. Spada—This author contributed mainly to the analysis of the legal context.

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Notes

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    Next Generation UPP - https://www.nextgenerationupp.unito.it/home.

  2. 2.

    https://pa.leggiditalia.it/#mode=home,__m=site.

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    https://pypi.org/project/scrapse/.

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    https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html.

  5. 5.

    https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingClassifier.html.

  6. 6.

    Edit Distance - https://www.nltk.org/api/nltk.metrics.distance.html.

  7. 7.

    EurLex - https://eur-lex.europa.eu/homepage.html accessed 23.06.2023.

  8. 8.

    Next Generation UPP - https://www.nextgenerationupp.unito.it/home.

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Acknowledgments

The research work has been funded in Next Generation UPP project supported by the European Union, National Operational Program Governance and Institutional Capacity 2014–2020, European Social Fund and European Regional Development Fund. The Next Generation UPP project is part of the “Unitary project for the dissemination of the Office for Trial and the implementation of innovative operating models in the judicial offices for the disposal of the backlog", promoted by the Italian Ministry of Justice and implemented in synergy with the interventions envisaged by the National Recovery and Resilience Plan (NRRP) in support to the justice reform.

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Authors and Affiliations

  1. Computer Science Department, University of Turin, Turin, Italy

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

  2. Law Department, University of Turin, Turin, Italy

    Susanna Marta & Marianna Molinari

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  1. Ilaria Angela Amantea
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  4. Michele Colombino
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  6. Giorgia Iacobellis
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  10. Ivan Spada
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  12. Laurentiu Jr Marius Zaharia
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Corresponding author

Correspondence to Ilaria Angela Amantea .

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Editors and Affiliations

  1. University of Turin, Turin, Italy

    Rosa Meo

  2. Sapienza University of Rome, Rome, Italy

    Fabrizio Silvestri

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Amantea, I.A. et al. (2025). A Practical Application of Artificial Intelligence Techniques for Legal Context Analysis. In: Meo, R., Silvestri, F. (eds) Machine Learning and Principles and Practice of Knowledge Discovery in Databases. ECML PKDD 2023. Communications in Computer and Information Science, vol 2133. Springer, Cham. https://doi.org/10.1007/978-3-031-74630-7_33

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  • DOI: https://doi.org/10.1007/978-3-031-74630-7_33

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