The legal industry is experiencing a digital transformation, and Artificial Intelligence (AI) stands at the forefront of this evolution. In particular, contract review and risk detection are being revolutionized by AI-powered tools that offer speed, consistency, and scalability beyond human capabilities. Traditional legal review processes are time-intensive and prone to human error, especially as contract complexity and volume continue to increase. This paper explores the application of AI in automating legal contract analysis, focusing on the foundational technologies of natural language processing, machine learning, and semantic analysis. It examines core use cases, including due diligence, regulatory compliance, and contract lifecycle management. Real-world applications by law firms and corporations are discussed to illustrate the effectiveness and limitations of AI-driven legal tools. Ethical and regulatory considerations surrounding confidentiality, accountability, and transparency are critically assessed. The paper also outlines the challenges of bias, model interpretability, and resistance within the legal profession. Finally, it looks to future innovations, including explainable AI, multilingual systems, and autonomous legal agents that will continue to reshape how legal work is performed