Exploration and Application of Case Management Improvement in Large Model Enabling Enterprises: A Case Study of Power Grid Enterprises

Jiayun Shi (), Lei Xu (), Chengyan Huang (), Xiaoyun Zha () and Jin Liu ()
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Jiayun Shi: Energy Research Institute of State Grid
Lei Xu: State Grid Jiangsu Electric Power Co., Ltd.
Chengyan Huang: Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd.
Xiaoyun Zha: State Grid Jiangsu Electric Power Co., Ltd.
Jin Liu: Energy Research Institute of State Grid

A chapter in Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024), 2025, pp 631-642 from Springer

Abstract: Abstract In judicial case management, power grid enterprises are faced with the challenge of information processing and auxiliary decision making, especially the efficiency and accuracy of massive data processing. Through the introduction of large model technology, improving the ability of text induction, information extraction, case classification and risk prediction can improve the quality and efficiency of power grid enterprises in case management. This paper discusses the application of the large model in the judicial management of power grid enterprises, analyzes its promotion potential from the perspectives of technical architecture, application scenarios, risk prevention and control, and future development paths, and puts forward strategic suggestions.

Keywords: Artificial intelligence; large model; judicial case management; information processing; risk prediction (search for similar items in EconPapers)
Date: 2025
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DOI: 10.2991/978-94-6463-676-5_61

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