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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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El papel de la inteligencia artificial en la toma de decisiones judiciales: una revisión sistemática

The Role of Artificial Intelligence in Judicial Decision-Making: A Systematic Review
Authors: Silvana Dolores, Flores Padilla; Alexis Roberto, Rivera Andrade; Fredy Roberto, Hidalgo Cajo; Renato Daniel, Basantes Silva; Ana Lucía, Machado Ashqui;

El papel de la inteligencia artificial en la toma de decisiones judiciales: una revisión sistemática

Abstract

El uso de la inteligencia artificial (IA) en el poder judicial está transformando la forma en que se analizan, procesan y resuelven los distintos casos legales. Este estudio tiene como objetivo proporcionar una visión integral de las tecnologías de IA que actualmente apoyan la toma de decisiones judiciales. A través de una revisión sistemática basada en los lineamientos de la metodología PRISMA, se seleccionaron y analizaron 115 estudios relevantes publicados en los últimos cinco años. Los resultados evidencian que la implementación de tecnologías como el procesamiento de lenguaje natural (NLP), el aprendizaje automático (ML), el aprendizaje profundo (DL) y los modelos de lenguaje de gran escala (LLM) facilita tareas como la predicción de sentencias y el análisis jurisprudencial, contribuyendo a una toma de decisiones más informada. Finalmente, se presentan algunos marcos regulatorios internacionales que delimitan y orientan el uso de estas herramientas tecnológicas en el ámbito judicial.

The use of artificial intelligence (AI) in the judiciary is progressively transforming the way legal cases are analyzed, processed, and resolved. This study aims to provide a comprehensive overview of AI technologies currently supporting judicial decision-making. Through a systematic review based on the PRISMA methodology, 115 relevant studies published over the past five years were selected and analyzed. The findings show that the implementation of technologies such as natural language processing (NLP), machine learning (ML), deep learning (DL), and large language models (LLMs) facilitates tasks such as sentence prediction and jurisprudential analysis, thereby contributing to more informed judicial decisions. Finally, several international regulatory frameworks are presented that define and guide the use of these technological tools in the judicial domain.

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Keywords

Artificial intelligence, decisiones judiciales, automated judicial systems, sistemas judiciales automatizados, law, derecho, judicial decision-making, Inteligencia artificial

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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