Research on an AI-based Smart Management Information System for Enterprise Judicial Cases: A Case Study of Power Grid Enterprises

Jiayun Shi (), Lei Xu (), Chengyan Huang (), Xiaoyun Zha () and Jin Liu ()
Additional contact information
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 5th International Conference on Economic Management and Big Data Application (ICEMBDA 2024), 2024, pp 322-333 from Springer

Abstract: Abstract Enterprise legal management is a crucial part of overall corporate management, particularly in handling a vast amount of judicial document data related to legal cases. Currently, due to limitations in data analysis and processing capabilities, enterprises have not fully harnessed the value of their case data, and the decision-support and risk prevention roles of intelligent case management are not fully realized. This paper presents a method for constructing an AI-based smart management information system for enterprise judicial cases, using power grid enterprises as a case study. It explores how to utilize AI technology at the intersection of law and electricity to process corporate case texts and extract valuable data, aiming to empower enterprise case management through big data and AI technology.

Keywords: Judicial Cases; Legal Management; Information System; Legal Artificial Intelligence (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6463-638-3_33

Ordering information: This item can be ordered from
http://www.springer.com/9789464636383

DOI: 10.2991/978-94-6463-638-3_33

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().