Artificial Intelligence (AI), as one of the most advanced technologies of the 21st century, has increasingly entered the world's judicial systems and has transformed judicial decision-making processes. With its ability to analyze large volumes of data, identify complex patterns, and predict outcomes, this technology enables the acceleration and increase of accuracy in the process of handling cases. In this regard, AI can help judges and lawyers make more accurate and objective decisions based on evidence and information, thereby promoting judicial justice. In addition, the use of intelligent systems in predicting the risk of committing a crime or returning to the criminal justice system greatly contributes to decisions related to conditional release or setting bail. Also, text analysis and behavioral pattern recognition tools in criminal and legal cases can reduce the possibility of human errors and unintentional biases. However, the use of AI in decriminalization also comes with significant challenges and concerns. The most important of these challenges is the issue of transparency and understandability of algorithms; because AI decisions may be ambiguous and uninterpretable for human users and even judges due to technical complexities. Also, the risk of algorithmic discrimination resulting from inappropriate training data or biases in the data can jeopardize judicial justice. Concerns related to privacy, data security, and liability in the event of errors are also important concerns. Ultimately, the impact of AI on judicial decision-making processes depends largely on how it is designed, monitored, and the legal and ethical frameworks governing its use.