Practical inspection and exploration of assistive positioning and generative artificial intelligence empowering civil trials

With the rapid development of artificial intelligence technology, the application of AI in the judicial field is gradually expanding, especially in civil trials, where artificial intelligence auxiliary positioning and generative artificial intelligence technology show great potential. Through intelligent case analysis, legal text retrieval, case matching, and document generation, artificial intelligence can effectively improve judicial efficiency, ensure the quality of judgments, reduce the workload of judges, and promote judicial fairness. However, the application of artificial intelligence in the judicial field still faces challenges such as technical adaptation, data privacy, and ethical issues. This paper aims to explore how auxiliary positioning and generative artificial intelligence can empower civil trials, and reveal its potential and development prospects by analyzing the current application status, technical principles, practical effects, and challenges of AI in civil trials. Studies have shown that the introduction of artificial intelligence can improve judicial efficiency and consistency of judgments, but it also poses new challenges to the current judicial system and legal framework. In the future, with the continuous advancement of technology and the improvement of policy frameworks, artificial intelligence will play an increasingly important role in civil trials and contribute to the intelligent transformation of the judicial field.

Authors

Institutions

Publication Details

Journal
International Scientific Technical and Economic Research
Published
2025-05-01
DOI
https://doi.org/10.71451/istaer2518
Primary Topic
Artificial Intelligence in Law
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Practical inspection and exploration of assistive positioning and generative artificial intelligence empowering civil trials

Zhenyu Li
International Scientific Technical and Economic Research
Artificial Intelligence in Law
article

Practical inspection and exploration of assistive positioning and generative artificial intelligence empowering civil trials

Zhenyu Li
article en

Abstract

With the rapid development of artificial intelligence technology, the application of AI in the judicial field is gradually expanding, especially in civil trials, where artificial intelligence auxiliary positioning and generative artificial intelligence technology show great potential. Through intelligent case analysis, legal text retrieval, case matching, and document generation, artificial intelligence can effectively improve judicial efficiency, ensure the quality of judgments, reduce the workload of judges, and promote judicial fairness. However, the application of artificial intelligence in the judicial field still faces challenges such as technical adaptation, data privacy, and ethical issues. This paper aims to explore how auxiliary positioning and generative artificial intelligence can empower civil trials, and reveal its potential and development prospects by analyzing the current application status, technical principles, practical effects, and challenges of AI in civil trials. Studies have shown that the introduction of artificial intelligence can improve judicial efficiency and consistency of judgments, but it also poses new challenges to the current judicial system and legal framework. In the future, with the continuous advancement of technology and the improvement of policy frameworks, artificial intelligence will play an increasingly important role in civil trials and contribute to the intelligent transformation of the judicial field.

International Scientific Technical and Economic Research
Beijing University of Chemical Technology (CN)
Openalex Percentile: Top 89%
Artificial Intelligence in Law
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.