Abstract:The rapid expansion of Artificial Intelligence (AI) and its growing presence in the field of Islamic sciences have raised new questions regarding the functions, limitations, and implications of this technology in the structuring of jurisprudential data and the facilitation of legal reasoning (istinbāṭ al-aḥkām). This study aims to clarify the nature of AI’s operative functions in Islamic jurisprudence, the rationale for employing it in the face of vast and dispersed fiqh literature, and the methodology for its proper integration within the process of ijtihād. Employing a descriptive–analytical approach and drawing on documentary and library-based sources, the research examines the technical capacities of AI—such as Natural Language Processing (NLP), Machine Learning (ML), and Knowledge Graphs—alongside its epistemic and jurisprudential constraints. The findings indicate that AI contributes significantly on three levels:1. the organization, structuring, and taxonomical classification of fiqh texts; 2. the analysis of inferential patterns and retrieval of evidentiary sources; 3. assistance in subject-matter analysis (mawḍūʿ-shenāsī) for emergent issues. Nevertheless, due to its lack of malakat al-ijtihād (the juristic faculty), its inability to grasp the objectives of the Sharīʿa, and its limitations in detecting subtle uṣūlī nuances, AI cannot function as a substitute for the jurist. Moreover, ethical and jurisprudential assessments demonstrate that the use of AI must remain conditioned upon principles of justice, transparency, accountability, and the preservation of authoritative sources of legislation. The study ultimately concludes that AI may serve as an auxiliary—but never a replacement—within the jurist’s toolkit. By introducing order into complex data corpora and accelerating analytic processes, AI has the potential to meaningfully enhance the practice of ijtihād.