Artificial Intelligence Applied in Legal Information: A Systematic Mapping Study

Advanced technologies, particularly Artificial Intelligence (AI), are transforming how legal professionals handle civil law relationships and daily processes. Legal Information Retrieval (LIR), a significant field within AI, focuses on efficiently identifying and analyzing legal norms and documents...

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Autores principales: D'alotto, Juan Eduardo, Pons, Claudia Fabiana, Antonelli, Rubén Leandro
Formato: Articulo
Lenguaje:Español
Publicado: 2025
Materias:
Ciencias Informáticas
artificial intelligence
civil law
legal information retrieval
automatic query expansion
text classification algorithms
Inteligencia artificial
Derecho civil
recuperación de información jurídica
expansión automática de consultas
algoritmos de clasificación de textos
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/178721
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-178721
record_format dspace
spelling I19-R120-10915-1787212025-05-06T20:06:44Z http://sedici.unlp.edu.ar/handle/10915/178721 Artificial Intelligence Applied in Legal Information: A Systematic Mapping Study Inteligencia artificial aplicada en información jurídica: mapeo sistemático de la literatura D'alotto, Juan Eduardo Pons, Claudia Fabiana Antonelli, Rubén Leandro 2025-04 2025-05-06T15:33:37Z es Ciencias Informáticas artificial intelligence civil law legal information retrieval automatic query expansion text classification algorithms Inteligencia artificial Derecho civil recuperación de información jurídica expansión automática de consultas algoritmos de clasificación de textos Advanced technologies, particularly Artificial Intelligence (AI), are transforming how legal professionals handle civil law relationships and daily processes. Legal Information Retrieval (LIR), a significant field within AI, focuses on efficiently identifying and analyzing legal norms and documents relevant to users' specific information needs. This systematic mapping study identifies and synthesizes primary approaches, trends, and advancements in applying AI to LIR. By reviewing recent research, it provides an overview of employed strategies, AI techniques, and emerging areas of focus. Systematic search methods were applied to academic databases, selecting relevant studies published over the past fifteen years. From 3405 initially identified articles, 34 were selected for in-depth analysis after applying inclusion and exclusion criteria. The findings reveal sustained interest in AI techniques for LIR, with a clear trend toward adopting Natural Language Processing (NLP) and machine learning to enhance search relevance, precision, and automation of legal processes. This study emphasizes the potential of AI in the legal domain and highlights the need for continued research to address unique LIR challenges in a rapidly evolving technological landscape. Tecnologías avanzadas, como la Inteligencia Artificial (IA), están transformando cómo los profesionales del derecho gestionan las relaciones jurídicas y procesos cotidianos. La Recuperación de Información Jurídica (RIJ), un campo clave dentro de la IA, permitiendo identificar y analizar normas y documentos legales relevantes para las necesidades de los usuarios. Este estudio identifica y sintetiza los principales enfoques, tendencias y avances en la aplicación de la IA a la RIJ. Mediante revisión de investigaciones recientes, se ofrece un resumen de las estrategias empleadas, técnicas de IA utilizadas y áreas emergentes. Se aplicaron métodos de búsqueda sistemática en bases de datos académicas, seleccionando estudios publicados en los últimos quince años. De 3405 artículos identificados inicialmente, 34 fueron seleccionados para un análisis en profundidad tras aplicar criterios de inclusión y exclusión. Los hallazgos revelan un interés en las técnicas de IA para la RIJ, con una tendencia hacia la adopción del Procesamiento del Lenguaje Natural (PLN) y el aprendizaje automático para mejorar la relevancia y precisión de las búsquedas, así como la automatización de procesos legales. Este estudio subraya el potencial de la IA en el ámbito jurídico y resalta la necesidad de continuar investigando para abordar los desafíos únicos de la RIJ. Facultad de Informática Articulo Articulo http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 25-43
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Español
topic Ciencias Informáticas
artificial intelligence
civil law
legal information retrieval
automatic query expansion
text classification algorithms
Inteligencia artificial
Derecho civil
recuperación de información jurídica
expansión automática de consultas
algoritmos de clasificación de textos
spellingShingle Ciencias Informáticas
artificial intelligence
civil law
legal information retrieval
automatic query expansion
text classification algorithms
Inteligencia artificial
Derecho civil
recuperación de información jurídica
expansión automática de consultas
algoritmos de clasificación de textos
D'alotto, Juan Eduardo
Pons, Claudia Fabiana
Antonelli, Rubén Leandro
Artificial Intelligence Applied in Legal Information: A Systematic Mapping Study
topic_facet Ciencias Informáticas
artificial intelligence
civil law
legal information retrieval
automatic query expansion
text classification algorithms
Inteligencia artificial
Derecho civil
recuperación de información jurídica
expansión automática de consultas
algoritmos de clasificación de textos
description Advanced technologies, particularly Artificial Intelligence (AI), are transforming how legal professionals handle civil law relationships and daily processes. Legal Information Retrieval (LIR), a significant field within AI, focuses on efficiently identifying and analyzing legal norms and documents relevant to users' specific information needs. This systematic mapping study identifies and synthesizes primary approaches, trends, and advancements in applying AI to LIR. By reviewing recent research, it provides an overview of employed strategies, AI techniques, and emerging areas of focus. Systematic search methods were applied to academic databases, selecting relevant studies published over the past fifteen years. From 3405 initially identified articles, 34 were selected for in-depth analysis after applying inclusion and exclusion criteria. The findings reveal sustained interest in AI techniques for LIR, with a clear trend toward adopting Natural Language Processing (NLP) and machine learning to enhance search relevance, precision, and automation of legal processes. This study emphasizes the potential of AI in the legal domain and highlights the need for continued research to address unique LIR challenges in a rapidly evolving technological landscape.
format Articulo
Articulo
author D'alotto, Juan Eduardo
Pons, Claudia Fabiana
Antonelli, Rubén Leandro
author_facet D'alotto, Juan Eduardo
Pons, Claudia Fabiana
Antonelli, Rubén Leandro
author_sort D'alotto, Juan Eduardo
title Artificial Intelligence Applied in Legal Information: A Systematic Mapping Study
title_short Artificial Intelligence Applied in Legal Information: A Systematic Mapping Study
title_full Artificial Intelligence Applied in Legal Information: A Systematic Mapping Study
title_fullStr Artificial Intelligence Applied in Legal Information: A Systematic Mapping Study
title_full_unstemmed Artificial Intelligence Applied in Legal Information: A Systematic Mapping Study
title_sort artificial intelligence applied in legal information: a systematic mapping study
publishDate 2025
url http://sedici.unlp.edu.ar/handle/10915/178721
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