Artificial Intelligence Applied in Legal Information: A Systematic Mapping Study
In the context of the digital era, our lives have become more dynamic, and the development of advanced technologies is transforming the way civil law relationships are handled. Today, legal professionals commonly use software that accelerates daily processes through the application of artificial in...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata
2025-04-01
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| Series: | Journal of Computer Science and Technology |
| Subjects: | |
| Online Access: | https://journal.info.unlp.edu.ar/JCST/article/view/3687 |
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| Summary: | In the context of the digital era, our lives have become more dynamic, and the development of advanced technologies is transforming the way civil law relationships are handled. Today, legal professionals commonly use software that accelerates daily processes through the application of artificial intelligence technologies. Legal Information Retrieval is a significant and challenging field of AI that focuses on finding and analyzing legal norms and documents relevant to a user’s information needs.
The objective of this article is to identify and synthesize the main approaches, trends, and advances in the application of AI in Legal Information Retrieval. Through a review of recent research, this study aims to provide a clear overview of the strategies used, methodologies employed, and emerging areas of focus.
To achieve these objectives, exhaustive search methods were applied to academic databases and repositories, selecting relevant studies published over the past twelve years. In the first stage, 2307 articles were found. Then, in the second stage, 354 technical articles were selected after applying inclusion/exclusion criteria. Finally, after a third round of filtering, 18 articles were selected for final analysis. In addition to the inclusion-exclusion criteria, the articles underwent a process of analysis and classification based on themes, methods, and results.
The findings reflect a growing interest in the application of AI techniques in Legal Information Retrieval. The approaches identified focus on improving the relevance of search results and automating legal processes. There is also a progressive adoption of Natural Language Processing and machine learning techniques.
Finally, a panoramic view is provided of the intersection between AI and Legal Information Retrieval. The results highlight the importance and potential of AI techniques in the legal field, while underscoring the need for deeper research and integrated approaches to address the specific challenges of Legal Information Retrieval in a technologically dynamic world.
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| ISSN: | 1666-6046 1666-6038 |