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Progress in Data Mining and Analysis Technology for Corporate Legal Affairs

Quanquan Zhai

Abstract


With the rapid development of information technology, enterprise legal affairs management has gradually entered the data-driven
intelligent era. This article explores the progress of legal data mining and analysis technology, with a focus on its application in contract
management, litigation analysis, and compliance monitoring. Through data preprocessing, mining algorithms, and models, enterprises can
enhance the accuracy of legal risk prediction, optimize decision support, and strengthen compliance supervision. Challenges such as data
quality, privacy protection, algorithm accuracy, and interpretability still need to be addressed. The article also looks forward to the future development and technological innovation of legal data mining, providing references and guidance for intelligent legal affairs management.

Keywords


Corporate Legal Affairs; Data Mining; Contract Management; Litigation Prediction

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References


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DOI: http://dx.doi.org/10.18686/fm.v10i2.13952

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