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 …

An automated system that could assist a judge in predicting the outcome of a case would
help expedite the judicial process. For such a system to be practically useful, predictions by …

We evaluated the capability of a state-of-the-art generative pretrained transformer (GPT)
model to perform semantic annotation of short text snippets (one to few sentences) coming …

In populous countries, pending legal cases have been growing exponentially. There is a
need for developing techniques for processing and organizing legal documents. In this …

Automatic summarization of legal case documents is an important and practical challenge.
Apart from many domain-independent text summarization algorithms that can be used for …

The emergence of ChatGPT has sensitized the general public, including the legal
profession, to large language models'(LLMs) potential uses (eg, document drafting, question …

The FIRE 2019 AILA track focused on creating a framework for evaluating different methods
of retrieving relevant prior/precedent cases and statutes given a factual scenario. There …

In the domain of legal information retrieval, an important challenge is to compute similarity
between two legal documents. Precedents (statements from prior cases) play an important …

Abstract The task of Legal Statute Identification (LSI) aims to identify the legal statutes that
are relevant to a given description of facts or evidence of a legal case. Existing methods only …