This study develops a customized integrated predictive model for predicting court decisions in Saudi Arabia to address legal challenges. The innovation uses sophisticated machine learning techniques to handle massive quantities of legal information, such as case laws and judicial opinions. This study uses natural language processing (NLP) and classification algorithms to enhance legal prediction accuracy. The study highlights the necessity of continued enhancement, particularly in Saudi Arabia, where artificial intelligence (AI) is still evolving in legal contexts. Fairness, accountability, and prejudice reduction are ethical concerns that need addressing for individuals to use AI systems responsibly and equitably.