The use of statistical and AI methods in civil litigation is an area likely to expand. As with many areas of social science, the data requirements are high but complex, because of the complexity of the legal process and the nature of the causal connections. This paper looks at the early stage of the process where the initial establishment of liability acts as a legal triage which affects the route through the litigation process. A simple model is used in which the training set is the assessment of the probability of liability given hypothetical scenarios in road traffic accidents. The model is augmented by additional “weight of evidence” assessments. The model, once built, is used as a decision support system for claim handlers on a routine basis. The methods can be seen as a way of utilising a special type of expert judgment elicitation.

中文翻译：

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民事诉讼责任决策支持系统——以保险公司为例

在民事诉讼中使用统计和人工智能方法是一个可能会扩大的领域。与社会科学的许多领域一样，由于法律程序的复杂性和因果关系的性质，数据要求很高但很复杂。本文着眼于该过程的早期阶段，在该过程中，初始责任的确立作为一种法律分类，影响了整个诉讼过程的路线。使用了一个简单的模型，其中训练集是对道路交通事故中假设情景的责任概率的评估。该模型通过额外的“证据权重”评估得到增强。该模型一旦建立，就用作日常理赔处理人员的决策支持系统。这些方法可以看作是一种利用特殊类型的专家判断引出的方式。