Smart Legal Assistant using GPT-4 + RAG

Description

An AI-powered legal assistant that can understand, interpret, and interact with legal documents using GPT-4 combined with Retrieval-Augmented Generation (RAG). The assistant will ingest contract documents and other legal texts to provide accurate summaries, answer specific legal questions, flag potential risks, and highlight key clauses. This tool can be customized for different domains such as corporate law, real estate, or employment law. It’s designed to serve legal teams, startups, and law firms by automating time-consuming manual document reviews and improving decision-making accuracy.

Key Features:

• Document Parsing & Knowledge Ingestion: Automatically extracts key sections from legal PDFs, Word files, or scanned documents using OCR + text preprocessing.
• Contextual Q&A: Responds to user queries with accurate and legally contextualized answers drawn from custom-uploaded legal knowledge bases.
• Clause Detection & Classification: Identifies specific clauses such as indemnity, termination, arbitration, etc., and classifies them using NER and custom-trained LLM prompts.
• Risk Assessment Engine: Flags potentially risky language or compliance gaps based on predefined legal standards or company-specific rules.

Ideal Use Cases or Scenarios:

• Startups reviewing NDAs, MoUs, and partnership contracts
• Legal teams at enterprises conducting initial contract screening
• Law firms providing AI-powered document review to clients
• Compliance officers auditing internal documents for risk

Deliverables:

• Fully functional codebase with modular structure
• Step-by-step setup and deployment guide
• Preloaded legal document dataset (sample contracts)
• Project report with architecture and flow diagrams
• Optional video walkthrough and documentation support
• Customization support based on legal domain or region