Legal case retrieval, which aims to find relevant cases for a query case, plays a core role in
the intelligent legal system. Despite the success that pre-training has achieved in ad-hoc …

Legal case retrieval is a specialized IR task that involves retrieving supporting cases given a
query case. Compared with traditional ad-hoc text retrieval, the legal case retrieval task is …

Over the last 30 years, AI & Law has provided breakthroughs in studies involving case-
based reasoning, rule-based reasoning, information retrieval and, most recently, conceptual …

As an essential operation of legal retrieval, legal case matching plays a central role in
intelligent legal systems. This task has a high demand on the explainability of matching …

The concept of 'relevance'is crucial to legal information retrieval, but because of its intuitive
understanding it goes undefined too easily and unexplored too often. We discuss a …

In legal case retrieval, existing work has shown that human-mediated conversational search
can improve users' search experience. In practice, a suitable workflow can provide …

Data analytics provides important tools and methods for processing the data generated
during legal services. This paper aims to provide a systematic survey of the research papers …

Legal case retrieval has received increasing attention in recent years. However, compared
to ad hoc retrieval tasks, legal case retrieval has its unique challenges. First, case …

We present our method for tackling the legal case retrieval task of the Competition on Legal
Information Extraction/Entailment 2019. Our approach is based on the idea that …

Case law retrieval is the task of locating truly relevant legal cases given an input query case.
Unlike information retrieval for general texts, this task is more complex with two phases …