Due to huge amount of legal information availability on the internet, as well as other sources,
it is important for the research community to do more extensive research on the area of legal …

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 legal landscape encompasses a wide array of lawsuit types, presenting lawyers with
challenges in delivering timely and accurate information to clients, particularly concerning …

Natural language processing (NLP) technologies and applications in legal text processing
are gaining momentum. Being one of the most prominent tasks in NLP, named-entity …

Legal documents, like contracts or laws, are subject to interpretation. Different people can
have different interpretations of the very same document. Large parts of judicial branches all …

The first issue of Artificial Intelligence and Law journal was published in 1992. This paper
provides commentaries on nine significant papers drawn from the Journal's second decade …

Making legal knowledge accessible to non-experts is crucial for enhancing general legal
literacy and encouraging civic participation in democracy. However, legal documents are …

The increasing amount of legal information available online is overwhelming for both
citizens and legal professionals, making it difficult and time-consuming to find relevant …

Statutory article retrieval is the task of automatically retrieving law articles relevant to a legal
question. While recent advances in natural language processing have sparked considerable …

We present the first comprehensive empirical evaluation of pre-trained language models
(PLMs) for legal natural language processing (NLP) in order to examine their effectiveness …