Version 1
: Received: 28 April 2024 / Approved: 29 April 2024 / Online: 29 April 2024 (09:58:04 CEST)
How to cite:
Sun, Z.; Li, W.; Yu, M.; Yang, X.; Nurmaithi, M. Design and Implementation of AI-Based Judicial Big Data Intelligent Service Platform. Preprints2024, 2024041894. https://doi.org/10.20944/preprints202404.1894.v1
Sun, Z.; Li, W.; Yu, M.; Yang, X.; Nurmaithi, M. Design and Implementation of AI-Based Judicial Big Data Intelligent Service Platform. Preprints 2024, 2024041894. https://doi.org/10.20944/preprints202404.1894.v1
Sun, Z.; Li, W.; Yu, M.; Yang, X.; Nurmaithi, M. Design and Implementation of AI-Based Judicial Big Data Intelligent Service Platform. Preprints2024, 2024041894. https://doi.org/10.20944/preprints202404.1894.v1
APA Style
Sun, Z., Li, W., Yu, M., Yang, X., & Nurmaithi, M. (2024). Design and Implementation of AI-Based Judicial Big Data Intelligent Service Platform. Preprints. https://doi.org/10.20944/preprints202404.1894.v1
Chicago/Turabian Style
Sun, Z., Xiaohan Yang and Muqayam Nurmaithi. 2024 "Design and Implementation of AI-Based Judicial Big Data Intelligent Service Platform" Preprints. https://doi.org/10.20944/preprints202404.1894.v1
Abstract
Based on big data and artificial intelligence technology, the judicial big data intelligent service platform provides users with efficient and accurate legal consulting services. It has many functions such as intelligent question and answer, case analysis, and law inquiry. It also analyzes the application value of the intelligent legal consulting service platform in the field of judicial big data. By building an intelligent service platform, the rapid processing and analysis of massive judicial data has been realized, and the efficiency and quality of judicial work have been significantly improved. In addition, it emphasizes the importance of data management and quality control in the application of judicial big data, and puts forward specific measures to strengthen data management and quality control. With the continuous advancement of technology and the expansion of application fields, the platform is expected to achieve deep integration with other legal services, expand new application fields, and provide users with more comprehensive and efficient legal services. At the same time, it points out the problems that need to be paid attention to in the future development, such as data security, privacy protection and so on. Through in-depth analysis and research on judicial big data, the platform can provide strong support for judicial decision-making and promote the improvement of judicial justice and efficiency.
Keywords
artificial intelligence technology; judicial services; big data analysis; model optimization
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
