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Aalap: AI Assistant for Legal & Paralegal Functions in India

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arxiv 2402.01758 v1 pith:WCLXCRQ4 submitted 2024-01-30 cs.CY cs.AIcs.CL

Aman Tiwari , Prathamesh Kalamkar , Atreyo Banerjee , Saurabh Karn , Varun Hemachandran , Smita Gupta This is my paper · ORCID
classification cs.CYcs.AIcs.CL
keywords legaldataaalapdomaintaskstestaalalpactivities
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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.

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