extended-abstract

Legal Information Retrieval meets Artificial Intelligence (LIRAI)

Authors:

Ernesto William De Luca,

Manuel Fiorelli,

Armando Stellato,

Sabine WehnertAuthors Info & Claims

HT '23: Proceedings of the 34th ACM Conference on Hypertext and Social Media

Article No.: 46, Pages 1 - 4

https://doi.org/10.1145/3603163.3610575

Published: 05 September 2023 Publication History

Abstract

The Legal Information Retrieval meets Artificial Intelligence (LIRAI) workshop series aims to provide a venue hosting discussion of novel ideas, evaluations, and success stories concerning the application of Artificial Intelligence (AI) and Information Retrieval (IR) to the legal domain. All around the world, lawmakers, legal professionals, and citizens must cope with the sheer amount of legal knowledge present in legal documents. These documents can be norms, regulations, directives, legal cases, and other relevant material for legal practitioners, such as legal commentary. The continuous evolution of legal documents is a challenging setting, with implicit relationships playing an important role beyond explicit references. Recently, the adoption of shared machine-readable formats and FAIR principles, as well as methods and practices from the Semantic Web, have certainly improved the accessibility of legal knowledge and its interoperability. Still, retrieving legal knowledge and making sense of it are not solved problems. The legal community often has special requirements for retrieval systems (e.g., high recall, explainability). Artificial Intelligence (AI) is positioned as a lever to enhance our ability to find, understand, and correlate legal information, and to comprehend its relationship to reality, in terms of compliance evaluation and risk/benefit analysis. We call contributions on these topics in the form of papers, which will be collected in an open-access proceedings published on CEURWS.org and thus indexed by Scopus, DBLP, Google Scholar, and other citation databases.

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Cited By

Wehnert SFiorelli MPicca DDe Luca EStellato A(2024)LIRAI'24: 2nd Workshop on Legal Information Retrieval meets Artificial IntelligenceProceedings of the 35th ACM Conference on Hypertext and Social Media10.1145/3648188.3675120(390-392)Online publication date: 10-Sep-2024
https://dl.acm.org/doi/10.1145/3648188.3675120

Index Terms

Legal Information Retrieval meets Artificial Intelligence (LIRAI)

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cover image ACM Conferences

HT '23: Proceedings of the 34th ACM Conference on Hypertext and Social Media

September 2023

334 pages

ISBN:9798400702327

DOI:10.1145/3603163

Copyright © 2023 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Published: 05 September 2023

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HT '23

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HT '23: 34th ACM Conference on Hypertext and Social Media

September 4 - 8, 2023

Rome, Italy

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Cited By

Wehnert SFiorelli MPicca DDe Luca EStellato A(2024)LIRAI'24: 2nd Workshop on Legal Information Retrieval meets Artificial IntelligenceProceedings of the 35th ACM Conference on Hypertext and Social Media10.1145/3648188.3675120(390-392)Online publication date: 10-Sep-2024
https://dl.acm.org/doi/10.1145/3648188.3675120

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