论文标题
法律判决预测（LJP）在自主AI法律推理的出现中
Legal Judgment Prediction (LJP) Amid the Advent of Autonomous AI Legal Reasoning
论文作者
论文摘要
法律判断预测（LJP）是法律和实践实践中的一个长期主题。预测司法事务的性质和结果是由法律行业内部以及整个社会中的人们急切地寻求，敏锐地寻求和大力追求的。产生司法预测的微不足道的行为在实用性和确切性上受到限制，需要进一步发展。随着时间的流逝，出现了各种预测法律案件和司法行动的方法和技术，尤其是通过基于计算机的建模出现而产生的。已经尝试了广泛的方法，包括简单的计算方法，用于高度复杂且复杂的统计模型。基于人工智能（AI）的方法也越来越多地使用。在本文中，对包括法律判断预测的文献进行了综述，并创新地提出，AI法律推理的出现（AILR）将对LJP的执行方式及其预测准确性产生明显的影响。使用AI法律推理的自治级别（LOA）的水平，还探讨了其他考虑因素，包括LJP概率倾向，偏见处理，参与者预测指标，透明度，审判依赖，法律案例结果以及其他重要的法律法律法律法律法律律师。
Legal Judgment Prediction (LJP) is a longstanding and open topic in the theory and practice-of-law. Predicting the nature and outcomes of judicial matters is abundantly warranted, keenly sought, and vigorously pursued by those within the legal industry and also by society as a whole. The tenuous act of generating judicially laden predictions has been limited in utility and exactitude, requiring further advancement. Various methods and techniques to predict legal cases and judicial actions have emerged over time, especially arising via the advent of computer-based modeling. There has been a wide range of approaches attempted, including simple calculative methods to highly sophisticated and complex statistical models. Artificial Intelligence (AI) based approaches have also been increasingly utilized. In this paper, a review of the literature encompassing Legal Judgment Prediction is undertaken, along with innovatively proposing that the advent of AI Legal Reasoning (AILR) will have a pronounced impact on how LJP is performed and its predictive accuracy. Legal Judgment Prediction is particularly examined using the Levels of Autonomy (LoA) of AI Legal Reasoning, plus, other considerations are explored including LJP probabilistic tendencies, biases handling, actor predictors, transparency, judicial reliance, legal case outcomes, and other crucial elements entailing the overarching legal judicial milieu.
