Research on the Construction of Legal Service Platform Based on Artificial Intelligence
- DOI
- 10.2991/978-2-494069-51-0_78How to use a DOI?
- Keywords
- artificial intelligence; legal service platform; construction
- Abstract
Affected by limited resources, it is difficult for traditional public legal services to achieve inclusive services. Artificial intelligence services can help legal service platforms operate more conveniently and provide more flexible services. The premise of building an artificial intelligence legal service platform is to clarify the needs of the public, take the public demand as the basis for building an intelligent public legal service application platform, rely on the main strength of judicial and administrative organs, and use big data, cloud computing and other important artificial intelligence technical means. Provide better legal platform services for the public, realize resource sharing, and provide high-quality services such as mass information retrieval and document review. By analyzing the shortcomings of current public legal services, this paper puts forward suggestions on the construction of an intelligent legal service platform to help optimize legal services.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - JiaChang Fu AU - YuHui Ye PY - 2022 DA - 2022/12/09 TI - Research on the Construction of Legal Service Platform Based on Artificial Intelligence BT - Proceedings of the 2022 7th International Conference on Modern Management and Education Technology (MMET 2022) PB - Atlantis Press SP - 567 EP - 573 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-494069-51-0_78 DO - 10.2991/978-2-494069-51-0_78 ID - Fu2022 ER -