Technological advances in the field of natural language processing have made it possible to use artificial intelligence in jurisprudential and interpretive studies. The central issue of this research is the jurisprudential-interpretive rereading of verse 282 of Surah Al-Baqarah with a focus on the concept of "taz'll" and the position of women's testimony in the Islamic legal system, which has so far been less studied from the perspective of modern technologies. The aim of this study is an applied and comparative analysis of this verse using natural language processing models and artificial intelligence technologies in order to reconstruct the historical, linguistic, and social contexts of issuing a ruling on women's testimony. The research method is descriptive-analytical and based on extracting semantic data from interpretive and jurisprudential texts using machine learning algorithms. The results show that the system of “two women for one man” testimony is more than a fixed and unchangeable ruling, it is a reflection of the historical and social conditions at the time of the revelation of the verse. Therefore, the use of artificial intelligence technology can help redefine gender justice in contemporary Islamic jurisprudence and pave the way for new ijtihad based on scientific and social foundations.