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

Many legal professionals think the explosion of information about local, regional, national,
and international legislation makes their practice more costly, time-consuming, and error …

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 …

In the context of the Competition on Legal Information Extraction/Entailment (COLIEE), we
propose a method comprising the necessary steps for finding relevant documents to a legal …

Bar exams provide a key watershed by which legal professionals demonstrate their
knowledge of the law and its application. Passing the bar entitles one to practice the law in a …

This paper presents a study on analyzing questions in legal domain for Vietnamese
language, which is an important step in building an automated question answering system …

This paper presents an end-to-end question answering system for legal texts. This system
includes two main phases. In the first phase, our system will retrieve articles from Japanese …

The existing judicial reading comprehension datasets are relatively simple, and the answers
to the questions can be obtained through single-step reasoning. However, the content of …

Punctuation prediction is the task of predicting and inserting punctuation like periods,
commas, exclamation marks, etc. into the appropriate positions in transcribed texts in ASR …

On top of the traditional Question Answering (QA) problems, Legal QA presents its own set
of particular challenges. These challenges mainly involve terminology resolution, searching …