VIM-1: A Quantized Legal Language Model for India
We present VIM-1 (VirtualVakil Intelligence Model 1), a quantized language model purpose-trained for Indian legal and cyber intelligence tasks. VIM-1 addresses a critical gap in the Indian legal technology landscape: the absence of a privacy-preserving, locally deployable AI system capable of navigating the Indian statutory framework.
What VIM-1 was trained on
Performance vs. Untuned Baseline
| Task | VIM-1 | Baseline |
|---|---|---|
| Statutory Section Identification | 91.2% | 61.4% |
| Challan Settlement Guidance | 91.0% | 52.8% |
| Cybercrime Complaint Triage | 88.6% | 55.1% |
| Hindi Legal Q&A | 82.1% | 54.3% |
| IT Act Offence Classification | 94.1% | 63.7% |
| Cross-Statute Conflict Detection | 78.4% | 41.2% |
Privacy by design, not afterthought.
India-Hosted Inference
All model inference runs on Indian servers. No data is transmitted to foreign cloud providers for legal queries.
No External API Calls
VIM-1 processes legal queries locally. Zero dependency on third-party APIs for core legal intelligence.
DPDP Act Compliant
Architecture designed from the ground up for compliance with the Digital Personal Data Protection Act 2023.
Quantized for Efficiency
4-bit quantization enables deployment on consumer-grade hardware without sacrificing legal accuracy.
Previous Research
Read our August 2025 paper on the multi-agent reinforcement learning system.
Read 2025 Paper