LegalLens: Leveraging LLMs for Legal Violation Identification in Unstructured Text

1 code implementation • 6 Feb 2024 • Dor Bernsohn, Gil Semo, Yaron Vazana, Gila Hayat, Ben Hagag, Joel Niklaus, Rohit Saha, Kyryl Truskovskyi

In this study, we focus on two main tasks, the first for detecting legal violations within unstructured textual data, and the second for associating these violations with potentially affected individuals.

Experimental Design

ClassActionPrediction: A Challenging Benchmark for Legal Judgment Prediction of Class Action Cases in the US

1 code implementation • 1 Nov 2022 • Gil Semo, Dor Bernsohn, Ben Hagag, Gila Hayat, Joel Niklaus

The research field of Legal Natural Language Processing (NLP) has been very active recently, with Legal Judgment Prediction (LJP) becoming one of the most extensively studied tasks.