AI is no longer a concept of the future but a present-day reality transforming various industries, including the legal field. The incorporation of AI into legal practice management is revolutionizing operations, offering several advantages while presenting new challenges. At the forefront of AI's integration into the legal sector is its ability to streamline mundane administrative tasks. Through AI-powered tools, law practices can automate time-consuming activities such as document review and scheduling, reducing overhead costs and improving overall efficiency. For example, firms like Baker McKenzie have adopted AI for contract analysis, significantly decreasing the time for this task, improving output quality. AI also enhances research efficiency, allowing law practitioners to access comprehensive legal databases, gaining insights swiftly and accurately. It aids attorneys in finding precedents, statutes, and regulations relevant to their cases in minutes. Furthermore, AI contributes to improved decision-making and risk management. Through predictive analytics, firms can forecast potential case outcomes and prepare strategic plans. This aids firms like Latham & Watkins in gaining a competitive edge. However, AI's integration poses ethical and data security challenges. Ensuring client information confidentiality is a priority, requiring law firms to implement stringent cybersecurity measures. The ethical dilemma of AI in decision-making also exists, requiring a balance between technology and human judgment. As AI evolves, its impact on legal practice management will reshape the traditional legal framework, helping practices improve efficiency and offer enhanced services.