This research reveals a scalable strategy for dynamic updates and intelligent governance of legal corpus, suggesting improved timeliness and compliance in AI applications.
With the widespread application of artificial intelligence and big data technology, legal corpus plays an increasingly important role in legal intelligent systems, rule of law research, and judicial informatization. As a fundamental resource for processing legal texts, the quality and timeliness of legal corpus directly affect the training effectiveness of artificial intelligence models and the level of intelligence in legal services. However, the rapid update speed of legal texts, the complex content structure, and the variability of legal definitions have led to significant challenges in the updating and governance of existing legal corpus. How to achieve dynamic updates and intelligent governance of legal corpus has become an urgent issue that needs to be addressed. This paper conducts a systematic study on the dynamic updating and intelligent governance mechanisms of legal corpus, proposing a multi-dimensional, multi-level, and scalable updating strategy for legal corpus, which combines privacy computing and blockchain technology to construct an intelligent governance framework that supports compliance across multiple legal domains and monitors the use of legal text data. The research results indicate that this mechanism can effectively enhance the timeliness and controllability of legal corpus, providing a safer and smarter legal text data system for legal AI applications.
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Ma et al. (2025) studied this question.
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