Automatic legal judgment prediction (LJP) has recently received increasing attention in the
natural language processing community in part because of its practical values as well as the …

Legal judgment prediction (LJP) applies Natural Language Processing (NLP) techniques to
predict judgment results based on fact descriptions automatically. The present work …

The advent of large language models (LLMs) and their adoption by the legal community has
given rise to the question: what types of legal reasoning can LLMs perform? To enable …

Legal Artificial Intelligence (LegalAI) focuses on applying the technology of artificial
intelligence, especially natural language processing, to benefit tasks in the legal domain. In …

Legal artificial intelligence (LegalAI) aims to benefit legal systems with the technology of
artificial intelligence, especially natural language processing (NLP). Recently, inspired by …

Legal judgment prediction is the task of automatically predicting the outcome of a court case,
given a text describing the case's facts. Previous work on using neural models for this task …

Deep learning and other black-box models are becoming more and more popular today.
Despite their high performance, they may not be accepted ethically or legally because of …

In this paper, we discuss previous research in automatic prediction of court decisions. We
define the difference between outcome identification, outcome-based judgement …

Legal Judgment Prediction (LJP) is the task of automatically predicting a law case's
judgment results given a text describing its facts, which has excellent prospects in judicial …

An automated system that could assist a judge in predicting the outcome of a case would
help expedite the judicial process. For such a system to be practically useful, predictions by …