Abstract
E-justice intelligent services plays a significant role in promoting judicial efficiency and fairness. Based on previous studies, this research evaluates the quality of e-justice intelligent services from four factors, which are smart adjudication, class case recommendation, litigation risk assessment and big data analysis. We gain the data through expert interviews and analyze how these factors affect the quality of ejustice intelligent services using fsQCA. The results indicates that no single condition on its own leads to high quality of e-justice intelligent services. Smart adjudication, class case recommendation, big data analysis are core causal conditions, and litigation risk assessment is peripheral causal condition. Smart adjudication and class case recommendation have the most solutions. This study analyzes the evaluation factors of e-justice intelligent services, aiming at promoting the quality of e-justice intelligent services, so as to improve judicial efficiency.
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