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

In this paper we report on a significant research project undertaken to design, implement
and evaluate explainable decision-support tools for deciding legal cases. We provide a …

The first issue of Artificial Intelligence and Law journal was published in 1992. This paper
offers some commentaries on papers drawn from the Journal's third decade. They indicate a …

Although the argumentation justifying decisions in particular cases has always been central
to AI and Law, it has recently become a burning issue as black box machine learning …

With the ever-growing accessibility of case law online, it has become challenging to
manually identify case law relevant to one's legal issue. In the Netherlands, the planned …

Historical information in the Canadian Maritime Judiciary increases with time because of the
need to archive data to be utilized in case references and for later application when …

The assessment of explainability in Legal Judgement Prediction (LJP) systems is of
paramount importance in building trustworthy and transparent systems, particularly …

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 …

Judicial decision classification using Natural Language Processing and machine learning
has received much attention in the last decade. While many studies claim to 'predict judicial …

Abstract The use of Natural Language Processing techniques in the legal domain has
become established for supporting attorneys and domain experts in content retrieval and …