The “human-like,” “generative,” and “interactive” characteristics of generative artificial intelligence are driving rapid change in the legal sector. Policies empowering generative AI in the legal industry continue to gain prominence, while the industry’s transformation and innovations in public legal education require ongoing AI-driven upgrades. Generative AI can simulate lawyers by employing “Socratic dialogue” to support litigation prediction and strategy analysis. It can function as intelligent assistants through “human-machine collaboration” to aid judicial decision-making and document generation. Furthermore, it can serve as a “pocket legal educator,” leveraging domain-specific large models to advance public legal education from ‘paper’ to “finger-tip” accessibility. Based on this, the study proposes a practical pathway to advance generative AI-driven transformation in the legal sector across four dimensions: policy formulation, industry standards, technological development, and talent cultivation. This includes: coordinating toplevel design for legal applications of generative AI; establishing industry standards for such applications; developing autonomous, controllable large language models tailored for the legal profession; and cultivating legal professionals with generative AI literacy.
Li et al. (Thu,) studied this question.