🏠 GrizlyUDVacator – Symbolic AI based Tenant Case Triage and Attorney Decision Support System

A symbolic AI-powered case triage assistant designed to help community based legal aid professionals analyze default judgments in unlawful detainer (eviction) cases under California Code of Civil Procedure § 473.5.

🚀 Features

1. Dynamic Intake Form

• YAML-driven form with configurable questions
• Date and boolean input types
• Clear prompts for legal relevance

2. Legal Evaluation Engine

• Formal legal logic implementation
• CCP § 473.5 eligibility evaluation
• Rule-based decision making
• Clear status and reasoning

3. AI-Powered Explanation

• GPT-3.5 generated narrative
• Natural language summaries
• Legal reasoning breakdown
• Case-specific guidance

4. Case Summary Generation

• Professional case summary reports
• Downloadable text format
• Automatic file saving
• Timestamped documentation

📁 File Structure

GrizlyUDVacator-CaseIntake/
├── streamlit_app.py          # Main application with UI and integration
├── legal_logic.py           # Formal legal evaluation logic
├── response_logic.py        # GPT explanation generation
├── summary_generator.py     # Case summary generation
├── intake_questions.yaml    # YAML configuration for intake form
├── requirements.txt         # Python dependencies
└── .streamlit/              # Streamlit configuration
    └── secrets.toml         # OpenAI API key

📌 Version Tags

• v1.0.0-logic-locked: First logic-stable milestone release
• awareness-freeze-20250516: Snapshot of complexity, coverage, and structure

🛠️ Technical Details

Core Components

1. Intake Form

   • YAML-driven dynamic form
   • Date and boolean inputs
   • Legal relevance validation

2. Legal Logic

   • CCP § 473.5 implementation
   • Rule-based evaluation
   • Status determination
   • Reason generation

3. AI Integration

   • OpenAI GPT-3.5
   • Natural language explanations
   • Case-specific guidance

4. Summary Generation

   • Professional formatting
   • Timestamped reports
   • Download functionality
   • File saving

📚 Legal Considerations

• This tool is for research and educational use only
• Not a substitute for legal advice
• No attorney-client relationship established
• Results are for informational purposes

🚀 Getting Started

1. Install dependencies:

   pip install -r requirements.txt

2. Configure OpenAI API key:

   • Create .streamlit/secrets.toml
   • Add your API key:

   [openai]
   api_key = "your-api-key-here"

3. Run the application:

   streamlit run streamlit_app.py