Author(s)

Jun Zhao ¹

Affiliation(s)

¹ Missouri State University Springfield, MO 65897, USA

Corresponding Author

Jun Zhao

ABSTRACT

As the pace of global digitalisation accelerates, enterprises face increasingly complex compliance environments and risks. According to Deloitte's 2024 Global Compliance and Risk Trends Report, over 76% of organisations reported experiencing significant operational disruption or financial loss within the past three years due to compliance failures. Traditional risk management models reliant on manual processes and experience demonstrate shortcomings in efficiency, precision, and foresight. The integration of law and business organically combines legal and commercial knowledge systems, offering fresh perspectives and approaches to corporate compliance and risk management. Data-driven methodologies leverage advanced technologies such as big data and artificial intelligence to collect, analysis', and mine vast datasets generated during business operations. This enables precise identification, assessment, and prediction of risks, providing scientific and objective foundations for corporate compliance and risk management. Therefore, this paper, grounded in the integration of law and business, explores how to deeply merge the bottom-line thinking of legal compliance with the value creation demands of business management. It systematically utilises data-driven technologies such as big data and artificial intelligence to construct an intelligent, adaptive, and forward-looking corporate compliance and risk management framework. This aims to provide theoretical reference and practical guidance for enterprises seeking steady and innovative development in the digital economy era.

KEYWORDS

Legal-Commercial Integration; Data-Driven; Corporate Intelligence Compliance and Risk Management

CITE THIS PAPER

Jun Zhao. Investigating Data-Driven Strategies for Intelligent Compliance and Risk Management in Enterprises from a Legal-Business Integration Perspective. Science of Law Journal (2025) Vol. 4: 96-104. DOI: http://dx.doi.org/DOI: 10.23977/law.2025.040514.

REFERENCES

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[3] Cheng Chao, Gong Weishuai, Cui Xiwei, et al. Building a Digital-Intelligent Power Marketing System Driving Full-Chain Compliance Management [J]. Enterprise World, 2024(20):76-80.
[4] Tao Zhenzhen, Zhang Yanshu. Constructing a Three-Tier Financial Risk Management System for 'Enterprise-Department-Individual' Driven by Digital Technology [J]. Accounting and Finance Bulletin, 2025(10).
[5] Chen Tong. Financial Management Challenges and Transformation Pathways for E-commerce Enterprises in the Digital Economy Era: A Case Study of Alibaba Group [J]. E-Commerce Review, 2025, 14(8):5.

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