Legal Judgment Prediction is a fundamental task in legal intelligence of the civil law system,
which aims to automatically predict the judgment results of multiple subtasks, such as …

Modeling law search and retrieval as prediction problems has recently emerged as a
predominant approach in law intelligence. Focusing on the law article retrieval task, we …

Massive legal documents have promoted the application of legal intelligence. Among them,
Legal Judgment Prediction (LJP) has emerged as a critical task, garnering significant …

The civil case judgment prediction (CCJP) task involves automatically determining whether
the plea of a plaintiff should be supported by analyzing the given civil case materials …

The extensive applications of deep neural network (DNN) and its increasingly complicated
architecture and supply chain make the risk of backdoor attacks more realistic than ever. In …

Multi-role court debate is a critical component in a civil trial where parties from different
camps (plaintiff, defendant, witness, judge, etc.) actively involved. Unlike other types of …

Legal Judgment Prediction (LJP) involves examining the given input case document and
recommending the judgment prediction such as applicable law sections, charges, and …

Criminal Court View Generation is an essential task in legal intelligence, which aims to
automatically generate sentences interpreting judgment results. The court view could be …

Abstract Machine learning research typically starts with a fixed data set created early in the
process. The focus of the experiments is finding a model and training procedure that result in …

There has been a significant amount of attention in recent years toward the utilization of
artificial intelligence (AI) in the realm of legal decision-making. This growing pattern reveals …