法律大语言模型的司法应用及其规范

Judicial Applications and Regulation of Large Legal Language Models

法律大语言模型因其超级学习和“涌现”能力,在法律任务中表现出卓越的性能,引发了法律科技领域的新一轮革命。法律大语言模型的司法应用主要体现在法律语言理解、法律知识问答、法律预测和法律文本生成等领域。然而,随着其在审判等司法实践中的应用,暴露出可解释性弱和“幻觉”等问题。法律大语言模型仍然难以胜任法律人的核心工作,包括法律推理、司法证明、法律解释、法律论证和疑难案件中的道德判断等。法律大语言模型在情感、道德、逻辑推理、决策机制和经验学习等方面仍然与法律人有本质的差异,因此,法律大语言模型的司法应用需要在严格的规范之下合理使用。

Large legal language models have triggered a new revolution in the field of legal technology due to their superior learning and"emergent"capabilities,demonstrating remarkable performance in various legal tasks.The judicial applications of large legal language models primarily include legal language comprehension,legal knowledge Q&A,legal prediction,and legal text generation.However,as these models are increasingly applied in judicial practices such as court trials,they reveal issues such as weak interpretability and"hallucinations."Large legal language models still struggle to perform the core tasks of legal professionals,including legal reasoning,judicial proof,legal interpretation,legal argumentation,and moral judgment in complex cases.Significant differences remain between large legal language models and legal professionals in areas such as emotion,morality,logical reasoning,decision-making mechanisms,and experiential learning.Therefore,the judicial application of large legal language models must be conducted under strict regulation to ensure their appropriate use.