Journal of Intelligent Computing Fei Li 16 4 2025 https://doi.org/10.6025/jic/2025/16/4/145-155 https://www.dline.info/jic/fulltext/v16n4/jicv16n4_2.pdf The paper proposes a hybrid risk assessment model combining Fuzzy Comprehensive Evaluation and Grey Relational Analysis to evaluate legal and other risks in cross border mergers and acquisitions (M&A) by Chinese energy enterprises. It highlights that while China's overseas M&A activity has grown significantly under the "going out" strategy, many ventures fail due to inadequate legal risk management particularly in environmental, labor, and tax regulations abroad. The study identifies six key risk categories: market, information, legal, industrial, integration, and financial risks. Using data from three hypothetical M&A plans, both methods consistently rank Plan 3 as the lowest risk option. The analysis underscores that market and integration risks are the most influential. The paper concludes by recommending thorough legal due diligence, professional legal strategies, and robust risk management frameworks to enhance M&A success. Despite its contributions, the author acknowledges limitations in scope and calls for more comprehensive future research.