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