The transformation of Iran’s judicial system through emerging technologies such as Electronic systems

& artificial intelligence marks a significant turning point in improving procedural efficiency and enhancing judicial transparency.

The central issue explored in this study is the assessment of the positive impacts of these technologies on adjudication time, cost reduction, and the facilitation of access to justice, alongside the existing challenges. The use of natural language processing (NLP) and machine learning algorithms is examined in terms of their capacity to automatically analyze legal documents and predict case outcomes, while the ethical and legal dimensions regarding responsibility and regulatory standards are also analyzed.

The research methodology is based on library studies using a descriptive-analytical approach. The findings indicate that the use of digital judicial systems has reduced paperwork, saved time and costs, and increased transparency in judicial procedures. The implementation of modern judicial systems not only facilitates citizens’ access to judicial services but also enhances the accuracy of rulings and mitigates communication challenges.

The results highlight the crucial role of artificial intelligence as an auxiliary assistant in analyzing legal documents and predicting case outcomes. However, technology without precise oversight may lead to algorithmic bias and reduced transparency. Therefore, the development of regulatory regulations and the promotion of user knowledge are essential requirements. The final result of the research introduces the intelligent integration of new technologies with existing fundamental legal principles, human oversight, transparent accountability frameworks, and the creation of preventive platforms for risk management in the judicial system as an effective step in achieving digital justice.