Legal AI Chat Demo Description

CLICK – DEMO of the Upcoming DEMO – CLICK (you have to use Replit and we have to run it, it is not deployed)

The AI Engineer We Want to HIRE! – JamesPolk.net

Private Offering – JamesPolk.net – “We are offering 10x the amount of shares to the person who invests $10,000 in order to help us take the above DEMO of the DEMO and make it into the full DEMO so we can then begin showing more Investors.  Investors have to be Accredited Investors because this is a 506(C) Regulation D Private Offering.”

What it is:
A HIPAA-aware legal consultation platform that allows users to chat with an AI assistant powered by OpenAI’s GPT-4o model. Users can ask general legal questions or upload PDF documents to get specific answers about their content. The system includes token-based usage control and compliance-focused logging.

Key Features:

• AI-powered legal guidance with GPT-4o
• PDF document upload and analysis
• Token-based usage system (100 tokens per user)
• HIPAA-compliant logging without sensitive data storage
• Real-time chat interface with document context
• Clean web interface built with Streamlit and FastAPI

Current Status: Partially compliant (basic privacy measures in place)

1. User Authentication & Authorization – Add secure user login, multi-factor authentication, and role-based access controls
2. Data Encryption – Implement end-to-end encryption for data in transit and at rest, including uploaded documents
3. Audit Logging – Enhanced logging system with detailed access logs, user activity tracking, and tamper-proof audit trails
4. Database Security – Move from in-memory storage to encrypted database with proper backup and recovery procedures
5. Access Controls – Implement strict data access policies, user session management, and automatic logout procedures
6. Privacy Safeguards – Add data anonymization, secure document deletion, and privacy impact assessments
7. Compliance Documentation – Create privacy policies, data handling procedures, and staff training materials
8. Security Assessment – Conduct penetration testing, vulnerability assessments, and ongoing security monitoring

Current: Uses OpenAI GPT-4o directly

To switch to another provider:

1. Update API Integration – Modify the chat endpoint in main.py to use different provider’s API (e.g., Anthropic Claude, Google Gemini, Azure OpenAI)
2. Update Environment Variables – Change OPENAI_API_KEY to the new provider’s key name and update the API client initialization
3. Adjust Model Parameters – Update model name, temperature, and token limits to match the new provider’s specifications

Examples:

• To Anthropic Claude: Replace OpenAI() client with anthropic.Anthropic(), change model to claude-3-sonnet-20240229
• To Google Gemini: Use google.generativeai client, change model to gemini-pro
• To Azure OpenAI: Keep OpenAI client but change endpoint and add deployment parameters

The modular architecture makes LLM switching straightforward – most changes are confined to the chat endpoint function.