AI Goes to Court: The Growing Landscape of AI for Access to Justice

Civil court leaders have a newly strong interest in how artificial intelligence can improve the quality and efficiency of legal services in the justice system, especially for problems that self-represented litigants face [1, 2, 3, 4, 5]. The promise is that artificial intelligence can address the fundamental crises in courts: that ordinary people are not able to use the system clearly or efficiently; that courts struggle to manage vast amounts of information; and that litigants and judicial officials often have to make complex decisions with little support. If AI is able to gather and sift through vast troves of information, identify patterns, predict optimal strategies, detect anomalies, classify issues, and draft documents, the promise is that these capabilities could be harnessed for making the civil court system more accessible to people. The question then, is how real these promises are, and how they are being implemented and evaluated. Now that early experimentation and agenda-setting have begun, the study of AI as a means for enhancing the quality of justice in the civil court system deserves greater definition.