Using proprietary Large Language Models on legal tasks poses challenges due to data privacy issues, domain data heterogeneity, domain knowledge sophistication, and domain objectives uniqueness. We created Aalalp, a fine-tuned Mistral 7B model on instructions data related to specific Indian legal tasks. The performance of Aalap is better than gpt-3.5-turbo in 31\% of our test data and obtains an equivalent score in 34\% of the test data as evaluated by GPT4. Training Aalap mainly focuses on teaching legal reasoning rather than legal recall. Aalap is definitely helpful for the day-to-day activities of lawyers, judges, or anyone working in legal systems.
@article{arxiv.2402.01758,
title = {Aalap: AI Assistant for Legal & Paralegal Functions in India},
author = {Aman Tiwari and Prathamesh Kalamkar and Atreyo Banerjee and Saurabh Karn and Varun Hemachandran and Smita Gupta},
journal= {arXiv preprint arXiv:2402.01758},
year = {2024}
}