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

Transformer-based language models (TLMs) have widely been recognized to be a cutting-
edge technology for the successful development of deep-learning-based solutions to …

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 …

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 …

" Legal tech" is transforming litigation and law practice, and its steady advance has tapped a
rich vein of anxiety about the future of the legal profession. Much of the resulting debate …

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 …

Decisions made by legal adjudicators and administrative decision-makers often found upon
a reservoir of stored experiences, from which is drawn a tacit body of expert knowledge …

Abstract The Italian Public Administration (PA) relies on costly manual analyses to ensure
the GDPR compliance of public documents and secure personal data. Despite recent …

The digitization of legal texts and advances in artificial intelligence, natural language
processing, text mining, network analysis, and machine learning have led to new forms of …

Lawyers and judges spend a large amount of time researching the proper legal authority to
cite while drafting decisions. In this paper, we develop a citation recommendation tool that …