โš–๏ธ LegalBrain Indic Legal

A specialized Large Language Model for Indian Legal Question Answering, Legal Reasoning, and Legal Assistance.

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Overview

LegalBrain Indic Legal is an instruction-tuned Large Language Model designed to assist with Indian legal information and reasoning.

The model has been trained using Adaption AutoScientist on a remastered version of the Indian Legal Supervised Fine-Tuning Dataset, resulting in improved instruction quality and stronger legal-domain performance.

This model is intended for educational, research, and legal AI development purposes.


Highlights

  • ๐Ÿ‡ฎ๐Ÿ‡ณ Indian Legal AI
  • โš–๏ธ Constitutional Law
  • ๐Ÿ“š Bharatiya Nyaya Sanhita (BNS)
  • ๐Ÿ“˜ Bharatiya Nagarik Suraksha Sanhita (BNSS)
  • ๐Ÿ“– Bharatiya Sakshya Adhiniyam (BSA)
  • ๐Ÿ›๏ธ Indian Contract Act
  • ๐Ÿ“‘ Legal Question Answering
  • ๐Ÿค– Instruction Tuned
  • ๐Ÿ” Legal Reasoning
  • ๐Ÿ“„ Retrieval-Augmented Generation (RAG) Ready

Training Details

Training Framework

  • Platform: Adaption AutoScientist
  • Training Type: Supervised Fine-Tuning (SFT)
  • Domain: Indian Legal AI

Dataset

Original Dataset

https://huggingface.co/datasets/nupursaraswat/adaption-legalbrain-indic-legal

Adapted using

  • Prompt Rephrase
  • Prompt Deduplication
  • Prompt Metadata Injection
  • Hallucination Mitigation
  • House Special Adaptive Recipes

Dataset Statistics

Property Value
Samples 18,000+
Language English
Domain Indian Legal
Dataset Type Instruction Tuning

Model Capabilities

The model can assist with:

  • Constitutional Law
  • Criminal Law
  • Contract Law
  • Corporate Law
  • Legal Definitions
  • Case Law Discussion
  • Legal Question Answering
  • Legal Summarization
  • Legal Research Assistance
  • Legal Education

Example

Prompt

Explain Article 21 of the Constitution of India.

Response

Article 21 guarantees that no person shall be deprived of life or personal liberty except according to procedure established by law. The Supreme Court has interpreted this provision expansively to include rights such as dignity, privacy, livelihood, education, and a clean environment through landmark judgments including Maneka Gandhi v. Union of India and Justice K.S. Puttaswamy v. Union of India.

Evaluation

The adapted training pipeline achieved:

  • โœ… 78% Relative Quality Improvement
  • โœ… Quality Grade Improved from C โ†’ B
  • โœ… Significant increase in Legal Win Rate
  • โœ… Reduced prompt duplication
  • โœ… Improved instruction consistency

Intended Uses

This model is suitable for:

  • Legal Chatbots
  • Legal Research
  • Educational Applications
  • Legal Q&A Systems
  • Retrieval-Augmented Generation (RAG)
  • Academic Research
  • AI Prototyping
  • Hackathons

Limitations

This model does not replace a qualified legal professional.

Responses should not be treated as formal legal advice.

Always verify legal information against:

  • Official legislation
  • Government notifications
  • Current judicial precedents

Citation

@model{legalbrain_indic_legal_2026,
  title={LegalBrain Indic Legal},
  author={Nupur Saraswat},
  year={2026},
  publisher={Hugging Face},
  note={Instruction-tuned using Adaption AutoScientist on an adapted version of the Indian Legal Supervised Fine-Tuning Dataset.}
}

Acknowledgements

Special thanks to:

  • Adaption AI for the AutoScientist training pipeline.
  • The open-source AI and legal research community.

Author

Nupur Saraswat

AI/ML Enthusiast โ€ข Legal AI Research โ€ข Large Language Models

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Dataset used to train nupursaraswat/NupurSaraswat-LegalBrain-Indic-Legal