  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. To foster
further research in the legal domain, we create a leaderboard (available at:
https://exploration-lab.github.io/IL-TUR/) where the research community can
upload and compare legal text understanding systems.
