A practical application of Artificial Intelligence techniques for legal context analysis

Marianna Molinari

doi:10.1007/978-3-031-74630-7_33

A practical application of Artificial Intelligence techniques for legal context analysis

Marianna Molinari

Onderzoeksoutput: Conference paper

Samenvatting

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.

Originele taal-2	English
Titel	Machine Learning and Principles and Practice of Knowledge Discovery in Databases
Subtitel	International Workshops of ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Revised Selected Papers, Part I
Redacteuren	Rosa Meo, Fabrizio Silvestri
Pagina's	450-464
Aantal pagina's	15
ISBN van elektronische versie	9783031746307
DOI's	https://doi.org/10.1007/978-3-031-74630-7_33
Status	Published - 2025
Extern gepubliceerd	Ja
Evenement	Ecml 2023 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - Turin, Italy Duur: 18 sep. 2023 → 22 sep. 2023

Publicatie series

Naam	Communications in Computer and Information Science
Uitgeverij	Springer
ISSN van geprinte versie	1865-0929
ISSN van elektronische versie	1865-0937

Conference

Conference	Ecml 2023 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
Land/Regio	Italy
Stad	Turin
Periode	18/09/23 → 22/09/23

Bibliografische nota

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

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10.1007/978-3-031-74630-7_33

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Molinari, M. (2025). A practical application of Artificial Intelligence techniques for legal context analysis. In R. Meo, & F. Silvestri (editors), Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Revised Selected Papers, Part I (blz. 450-464). (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-031-74630-7_33

Molinari, Marianna. / A practical application of Artificial Intelligence techniques for legal context analysis. Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Revised Selected Papers, Part I. redacteur / Rosa Meo ; Fabrizio Silvestri. 2025. blz. 450-464 (Communications in Computer and Information Science).

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title = "A practical application of Artificial Intelligence techniques for legal context analysis",

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.",

author = "Marianna Molinari",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; Ecml 2023 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases ; Conference date: 18-09-2023 Through 22-09-2023",

year = "2025",

doi = "10.1007/978-3-031-74630-7\_33",

language = "English",

isbn = "9783031746291",

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Molinari, M 2025, A practical application of Artificial Intelligence techniques for legal context analysis. in R Meo & F Silvestri (reds.), Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Revised Selected Papers, Part I. Communications in Computer and Information Science, blz. 450-464, Ecml 2023 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Turin, Italy, 18/09/23. https://doi.org/10.1007/978-3-031-74630-7_33

A practical application of Artificial Intelligence techniques for legal context analysis. / Molinari, Marianna.
Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Revised Selected Papers, Part I. reds. / Rosa Meo; Fabrizio Silvestri. 2025. blz. 450-464 (Communications in Computer and Information Science).

Onderzoeksoutput: Conference paper

TY - GEN

T1 - A practical application of Artificial Intelligence techniques for legal context analysis

AU - Molinari, Marianna

PY - 2025

Y1 - 2025

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85219200296

U2 - 10.1007/978-3-031-74630-7_33

DO - 10.1007/978-3-031-74630-7_33

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SN - 9783031746291

T3 - Communications in Computer and Information Science

SP - 450

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BT - Machine Learning and Principles and Practice of Knowledge Discovery in Databases

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Y2 - 18 September 2023 through 22 September 2023

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Molinari M. A practical application of Artificial Intelligence techniques for legal context analysis. In Meo R, Silvestri F, redacteurs, Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Revised Selected Papers, Part I. 2025. blz. 450-464. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-74630-7_33

A practical application of Artificial Intelligence techniques for legal context analysis

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