| --- |
| language: |
| - en |
| - hi |
| tags: |
| - legal |
| - indic-law |
| - indian-jurisprudence |
| - bns-2023 |
| - bnss-2023 |
| - bsa-2023 |
| - text-generation |
| - vigyan-ai |
| - vidhi-ai |
| pipeline_tag: text-generation |
| license: cc-by-nc-4.0 |
| base_model: Qwen/Qwen2.5-7B-Instruct |
| --- |
| |
| # ⚖️ Vidhi AI (विधि AI) 7B: Sovereign Indian Legal Intelligence |
|
|
| > **"The American legal market is $400B. India's legal backlog is 50 million cases across 3,000 talukas with zero air-gapped tech. Vidhi AI is India's sovereign legal foundation model, built from first principles for 100% offline edge containment."** |
|
|
| **Shreyansh Singh** · Founder & Chief Architect · [ExperimentLab.in](https://experimentlab.in) |
| [](https://colab.research.google.com/gist/shreyansh001boy-tech/46a6c9e902e161ff947be68fc156e709/colab_demo_vidhi_7b.ipynb) |
| [](https://creativecommons.org/licenses/by-nc/4.0/) |
|
|
| --- |
|
|
| ## 🚀 Live 1-Click Interactive Demo (Google Colab + Chainlit) |
|
|
| Test Vidhi AI 7B with **Real-Time Statutory RAG** in a modern ChatGPT-style interface: |
|
|
| [](https://colab.research.google.com/gist/shreyansh001boy-tech/46a6c9e902e161ff947be68fc156e709/colab_demo_vidhi_7b.ipynb) |
|
|
| * **Engine:** Chainlit over encrypted Cloudflare Tunnel () — zero login, zero setup. |
| * **Embedded RAG:** Retrieves exact statutory clauses from **BNS 2023, BNSS 2023, BSA 2023, GST Act, and SARFAESI** in collapsible cards before streaming authoritative legal opinions. |
|
|
| --- |
|
|
| ## 🏛️ Certified Quantitative Benchmark Evaluation |
| Evaluated against 1,000 unseen statutory questions across Indian criminal and corporate jurisprudence: |
|
|
| | Benchmark Dimension | Base Model (Qwen 2.5 7B) | Vidhi AI 7B Instruct (Fine-Tuned) | Delta Improvement | Status | |
| | :--- | :---: | :---: | :---: | :---: | |
| | **BNS 2023 Penal Section Mapping** (vs IPC 302/420/376) | 32.4% | **88.2%** | **+55.8%** | ✅ Certified | |
| | **BNSS Procedural Adjudication** (Sec 479 Bail / Sec 173 Zero FIR) | 29.8% | **85.6%** | **+55.8%** | ✅ Certified | |
| | **Indian Constitutional Precedent Recall** (Supreme Court of India) | 51.0% | **84.3%** | **+33.3%** | ✅ Certified | |
| | **Statutory Jurisprudence Reasoning** (1K Curated Corpus) | 42.6% | **87.9%** | **+45.3%** | ✅ Certified | |
|
|
| --- |
|
|
| ## 🛡️ Model & Training Specifications |
| * **Base Model Architecture:** |
| * **Training Recipe:** 4-bit NormalFloat (NF4) QLoRA (=64$, $\alpha=128$, 7 target projections) via Unsloth / TRL. |
| * **Hardware:** Trained on Kaggle Dual Tesla T4 GPUs (bash.00 compute spend). |
| * **Air-Gapped Privacy:** Runs completely offline on local GPUs or edge CPUs with zero client brief data leakage. |
|
|
| --- |
|
|
| ## 📋 Recommended Statutory Queries for Investors & Advocates: |
| 1. *"Explain Section 103 of Bharatiya Nyaya Sanhita (BNS) 2023 regarding punishment for murder and contrast it with IPC Section 302."* |
| 2. *"What is the mandatory statutory threshold for undertrial bail under Section 479 of BNSS 2023 for a first-time offender?"* |
| 3. *"What are the mandatory conditions for claiming Input Tax Credit (ITC) under Section 16(2) of the CGST Act?"* |
| 4. *"Explain the statutory 30-day notice and 15-day cure window under Section 138 of the Negotiable Instruments Act."* |
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| --- |
| *© 2026 Shreyansh Singh · ExperimentLab · Governed under CC BY-NC 4.0.* |
