The rapid advancement of artificial intelligence technology is fundamentally transforming the legal education ecosystem, driving a shift from the traditional "teacher-student" binary structure to a tripartite collaborative framework of "teacher-student-machine." This evolution empowers case-based teaching to enhance experiential learning, personalized instruction, and advanced skill development, while expanding educational content into digital jurisprudence. These changes challenge conventional knowledge transmission paradigms, revealing issues such as weakened critical thinking due to technological dependence, teaching quality risks caused by algorithmic biases and "illusions," academic integrity crises, and imbalanced access to educational resources. To address these challenges, legal education reform should adopt student-centered and learning-centered approaches grounded in constructivism and contextual cognition theories. This requires redefining pedagogical concepts, innovating teaching methods, reforming instructional designs, upgrading evaluation systems, and strengthening academic standards and professional ethics education. The ultimate goal is to cultivate interdisciplinary legal professionals who combine solid legal expertise, digital literacy, critical thinking, and noble professional ethics in the "AI + Law" era.