THE PARADOX OF CONVENIENCE: ANALYZING SHARIA ECONOMIC LAW STUDENTS' CRITICAL VERIFICATION OF AI-GENERATED LEGAL ENGLISH DRAFTS

The rapid integration of Generative AI, such as ChatGPT, into English for Specific Purposes (ESP) has revolutionized language learning by providing unprecedented syntactic support. However, in highly specialized and sensitive domains like Sharia Economic Law (HES), this technological assistance poses critical risks. This study investigates the "Paradox of Convenience" by exploring how HES students critically verify AI-generated Legal English drafts. Employing a mixed-methods descriptive case study design, data were collected from 33 Indonesian undergraduate HES students through surveys and a practical Ijarah contract error-detection scenario. The findings reveal a profound reliance on AI for syntactic structuring, with 84.8% of students utilizing it to overcome second language barriers. Crucially, the study identifies a dangerous "Fluency Bias": 36.4% of participants consciously accepted the strictly prohibited usurious term "Interest"—over the Sharia-compliant "Profit"—simply because the AI's output appeared grammatically superior. Furthermore, 42.4% of students failed to detect deliberate liability errors in the contract scenario. These results empirically demonstrate that AI's linguistic perfection creates an "illusion of absolute authority," causing students to bypass the essential productive cognitive struggle and develop epistemic dependence. The study concludes that while AI facilitates the mechanical aspects of legal drafting, it severely threatens students' conceptual integrity and professional skepticism. To mitigate these risks, higher education ESP pedagogy must urgently evolve to integrate domain-specific AI literacy and critical error-detection tasks into the curriculum.

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