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The Indian legal ecosystem, with its intricate framework and diverse socio-cultural nuances, presents significant accessibility and affordability challenges. LawMate is a domain-specific AI solution utilizing Large Language Models (LLMs) and advanced Natural Language Processing (NLP) techniques to bridge this gap. By leveraging Low-Rank Adaptation (LoRA) methodologies and the TÜLU 3 architecture, LawMate offers precise, context-aware responses to complex legal queries, specifically tailored to the Indian legal system. LawMate showed better accuracy of 72% on Indian legal queries, which significantly outperformed GPT-4o ( \(\sim 45\%\) ) and Claude 3.5 Sonnet ( \(\sim 42\%\) ). The model showcased the importance of domain-specific fine-tuning for the Indian legal ecosystem.

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LawMate: Leveraging Domain-Specific LLMs for the Indian Legal Ecosystem

  • 会议论文

  • 发表日期：

    2025年

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  • Aryaman Pattnayak,
  • Adhityanarayan Ramkumar,
  • Sonia Khetarpaul,
  • Kapil Vuthoo

摘要

The Indian legal ecosystem, with its intricate framework and diverse socio-cultural nuances, presents significant accessibility and affordability challenges. LawMate is a domain-specific AI solution utilizing Large Language Models (LLMs) and advanced Natural Language Processing (NLP) techniques to bridge this gap. By leveraging Low-Rank Adaptation (LoRA) methodologies and the TÜLU 3 architecture, LawMate offers precise, context-aware responses to complex legal queries, specifically tailored to the Indian legal system. LawMate showed better accuracy of 72% on Indian legal queries, which significantly outperformed GPT-4o ( \(\sim 45\%\) ) and Claude 3.5 Sonnet ( \(\sim 42\%\) ). The model showcased the importance of domain-specific fine-tuning for the Indian legal ecosystem.