As a basic legal department, economic law adjusts the relationship between national macro-control and market regulation. It plays an important role in the fields of cross-border trade, investment liberalization and financial innovation in free trade ports. This article discusses the application path of AI-powered moot court in the teaching of economic law. The research combs the practical problems faced by practical teaching under the background of free trade port. On this basis, an AI-powered moot court teaching model is constructed, which integrates intelligent case generation, man-machine cooperative confrontation and data-driven evaluation. The results show that the model has improved the efficiency of legal retrieval, the logic of documents and the resilience of court trial, and the comprehensive score of the experimental group is higher than that of the control group. The research shows that AI-enabled mock trial helps to realize the accurate supply and personalized feedback of teaching resources, and supports students' gradual transformation from knowledge acceptance to ability generation.

Xiao Shurui, Mo Haipeng. Cultivating Foreign-Related Economic and Trade Legal Talents for Free Trade Ports: Innovative Application of AI-Powered Moot Court in Economic Law Practical Teaching. Frontiers in Educational Research (2026), Vol. 9, Issue 6: 72-78. https://doi.org/10.25236/FER.2026.090610.

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