AI-Powered Legal Assistant Agent: Document Retrieval Q&A
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This n8n workflow creates an AI-powered legal assistant accessible via Telegram, enabling instant Q&A by leveraging a Pinecone vector database of legal documents. It ensures accurate, context-aware responses, acting as a crucial tool for legal, compliance, and knowledge management teams.
About This Workflow
This n8n workflow powers an intelligent Legal Assistant AI Agent, transforming how legal and compliance teams access information. It acts as a real-time chatbot, triggered by user queries on Telegram. The agent leverages a Retrieval-Augmented Generation (RAG) architecture, using OpenAI's powerful GPT-4o-mini model in conjunction with a Pinecone Vector Database, "Legal Contract Library." This setup ensures answers are always fact-checked against your proprietary legal documents, contracts, and regulatory policies. With built-in conversational memory, it provides seamless, context-aware interactions, reducing manual search time and improving accuracy in legal knowledge retrieval.
Key Features
- Real-time legal Q&A accessible via Telegram
- Pinecone + OpenAI-powered Retrieval-Augmented Generation (RAG) setup
- Factual, memory-aware assistant with a fallback mechanism if information is unavailable
- Customizable system prompt and extendable document sources
- Seamless integration with your existing legal document library
How To Use
- Connect your Telegram, OpenAI, and Pinecone credentials within n8n.
- Ensure your legal contracts, policies, or regulatory documents are uploaded and vectorized into your Pinecone "Legal Contract Library" index.
- Customize the AI Agent's system prompt in the "AI Agent" node to refine its persona or scope, ensuring it adheres to your specific legal guidelines.
- Activate the workflow and test by sending a message to your configured Telegram bot.
- Expand document sources or adjust memory settings as needed for your specific use case.
Apps Used
Workflow JSON
{
"id": "bd5922a8-8000-4d5b-b881-71d8651ef598",
"name": "AI-Powered Legal Assistant Agent: Document Retrieval Q&A",
"nodes": 18,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: bd5922a8-8000...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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