The first issue of Artificial Intelligence and Law journal was published in 1992. This paper
provides commentaries on landmark papers from the first decade of that journal. The topics …

Legal syllogism is a form of deductive reasoning commonly used by legal professionals to
analyze cases. In this paper, we propose legal syllogism prompting (LoT), a simple …

The first issue of Artificial Intelligence and Law journal was published in 1992. This paper
discusses several topics that relate more naturally to groups of papers than a single paper …

Abstract Artificial Intelligence (AI), Machine Learning (ML), Information Retrieval (IR) and
Natural Language Processing (NLP) are transforming the way legal professionals and law …

The legal search has great demand and a role in society. Ontology is a useful solution to
represent the legal domain. This paper introduces a method to extract knowledge from law …

This “blue sky idea” paper outlines the opportunities and challenges in data mining and
machine learning involving making a computational attorney—an intelligent software agent …

Transformer-based contextualized language models constitute the state-of-the-art in several
natural language processing (NLP) tasks and applications. Despite their utility …

The intersection of law and computer science has been dominated for decades by a
community that self-identifies with the pursuit of 'artificial intelligence'. This self-identification …

The book presents observations concerning automated decision-making from a general
point of view at the same time as it analyses the manner in which praxis in some jurisdictions …

The significance of legal information in society stems from its role in facilitating individuals'
access to and comprehension of legal knowledge. This study introduces a novel …