Announcing Vidhaan AI v0.2

📰 Medium · RAG

Learn about Vidhaan AI v0.2, a legal workbench that bridges statutory retrieval with pinned-citations, and its potential applications in legal research

advanced Published 27 Jun 2026
Action Steps
  1. Explore Vidhaan AI v0.2 on Medium to learn more about its features
  2. Run a search query using the pinned-citations legal workbench to test its functionality
  3. Configure the workbench to integrate with existing legal research tools
  4. Test the workbench with a sample legal case to evaluate its effectiveness
  5. Apply the insights gained from Vidhaan AI v0.2 to improve legal research workflows
Who Needs to Know This

Legal researchers, lawyers, and law firms can benefit from this technology to streamline their research process and improve productivity

Key Insight

💡 Vidhaan AI v0.2 has the potential to transform legal research by providing a more efficient and accurate way to retrieve and analyze statutory information

Share This
🚀 Introducing Vidhaan AI v0.2! 🚀 A legal workbench that revolutionizes statutory retrieval with pinned-citations #AIinLaw #LegalTech

Key Takeaways

Learn about Vidhaan AI v0.2, a legal workbench that bridges statutory retrieval with pinned-citations, and its potential applications in legal research

Full Article

Bridging Statutory Retrieval with a Pinned-Citations Legal Workbench Continue reading on Medium »
Read full article → ← Back to Reads

Related Videos

Does RAG relevant now? #aiwithakash #genai #llm #rag
Does RAG relevant now? #aiwithakash #genai #llm #rag
AI with Akash
🔥 Complete Semantic Caching Tutorial for Beginners | Explained in Tamil | GenAI | RAG | AI Agents
🔥 Complete Semantic Caching Tutorial for Beginners | Explained in Tamil | GenAI | RAG | AI Agents
AI with Akash
Integration with Streamlit | Explained in Tamil | RAG | AI Agents | GenAI | LLM | VectorDB | Caching
Integration with Streamlit | Explained in Tamil | RAG | AI Agents | GenAI | LLM | VectorDB | Caching
AI with Akash
10. Fuzzy Matching | Explained in Tamil | RAG | AI Agents | GenAI | LLM | Vector DB | Redis
10. Fuzzy Matching | Explained in Tamil | RAG | AI Agents | GenAI | LLM | Vector DB | Redis
AI with Akash
9. LLM call with Evaluation | Explained in Tamil | RAG | AI Agents | GenAI | LLM | Redis Cache
9. LLM call with Evaluation | Explained in Tamil | RAG | AI Agents | GenAI | LLM | Redis Cache
AI with Akash
8. Redis Implementation | Explained in Tamil | RAG | AI Agents | GenAI | LLM | VectorDB | Caching
8. Redis Implementation | Explained in Tamil | RAG | AI Agents | GenAI | LLM | VectorDB | Caching
AI with Akash