Research Papers

IndiLegalOnt: An Ontology for the Indian Legal System

This paper reflects on the approach of develop an ontology specific to Indian courts and regulations. This is done by Integrating GeoNames location and linking it to the Indian courts on the Staram India specific ontology. For doing so we reuse and extend existing ontologies like SALI-LMSS, GeoNames, etc. . In the instant approach we have extracted information from GeoNames* web API for Location Data and Courts to build on approaches to Bad Check Crime Modelling. A general purpose Java library using OWL API was written for the purpose of making these additions.

Author : Apurv Dube, Joseph Pookkatt, Raghava Mutharaju, Vikram Goyal

Read More

IL-TUR Leaderboard

Indian Legal Benchmark Leaderboard:

Legal systems worldwide are inundated with exponential growth in cases and documents. There is an imminent need to develop NLP and ML techniques for automatically processing and understanding legal documents to streamline the legal system. However, evaluating and comparing various NLP models designed specifically for the legal domain is challenging. This paper addresses this challenge by proposing IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning. IL-TUR contains monolingual (English, Hindi) and multi-lingual (9 Indian languages) domain-specific tasks that address different aspects of the legal system from the point of view of understanding and reasoning over Indian legal documents. We present baseline models (including LLM-based) for each task, outlining the gap between models and the ground truth. We will release a public leaderboard where the research community can upload and compare legal text understanding systems on various metrics, thus fostering research in the legal domain.

Author : Apurv Dube, Joseph Pookkatt, Raghava Mutharaju, Vikram Goyal

Read More