Modern legal proceedings face the need to integrate artificial intelligence technologies in order to improve the efficiency and quality of decision-making. However, this process is accompanied by a number of challenges related to objective and subjective factors that affect the implementation of AI in the legal field. Analyzing these issues is crucial for understanding the obstacles that need to be overcome in order to successfully utilize intelligent systems in the justice system. Technical difficulties arise from the limitations of current algorithms and software solutions, which may not always be able to handle the complexity of legal cases. Most AI systems today are highly specialized and only function effectively within the confines of predefined rules and data. The high demand for accurate decisions is due to the fact that the judicial process does not tolerate errors, and algorithmic failures, incorrect interpretation of facts, or incomplete data can lead to unfair verdicts.