A sophisticated software platform for analyzing legal cases and identifying high-potential litigation finance opportunities.
Aequitas scans court databases, legal filings, and case management systems to:
- Identify cases with strong merit and recovery potential
- Analyze case characteristics and risk profiles
- Calculate expected ROI and funding requirements
- Generate investment recommendations
- Track case progress and outcomes
- Case Data Aggregation: Integrate with multiple legal data sources
- Merit Analysis: Evaluate case strength based on legal precedent and facts
- Financial Modeling: Project potential recoveries and costs
- Risk Assessment: Calculate probability of success and timeline estimates
- Portfolio Management: Track and manage funded cases
- Reporting: Generate detailed investment reports and analytics
AequitasLitigationFinance/
├── src/
│ ├── __init__.py
│ ├── main.py
│ ├── config.py
│ ├── data_sources/
│ │ ├── __init__.py
│ │ ├── court_data_loader.py
│ │ ├── case_database.py
│ │ └── data_aggregator.py
│ ├── analysis/
│ │ ├── __init__.py
│ │ ├── case_analyzer.py
│ │ ├── merit_evaluator.py
│ │ ├── financial_model.py
│ │ └── risk_calculator.py
│ ├── models/
│ │ ├── __init__.py
│ │ ├── case.py
│ │ ├── opportunity.py
│ │ └── investment.py
│ ├── utils/
│ │ ├── __init__.py
│ │ ├── logger.py
│ │ └── validators.py
│ └── api/
│ ├── __init__.py
│ ├── flask_app.py
│ └── routes.py
├── tests/
│ ├── __init__.py
│ ├── test_case_analyzer.py
│ ├── test_merit_evaluator.py
│ └── test_financial_model.py
├── requirements.txt
├── .env.example
├── .gitignore
└── setup.py
# Clone the repository
git clone https://github.com/JoyBoy888ball/AequitasLitigationFinance.git
cd AequitasLitigationFinance
# Install dependencies
pip install -r requirements.txt
# Configure environment
cp .env.example .env
# Edit .env with your API keys and database credentialsfrom src.analysis.case_analyzer import CaseAnalyzer
from src.data_sources.data_aggregator import DataAggregator
# Load cases from data sources
aggregator = DataAggregator()
cases = aggregator.load_all_cases()
# Analyze opportunities
analyzer = CaseAnalyzer()
opportunities = analyzer.identify_opportunities(cases)
# Generate reports
analyzer.generate_report(opportunities)MIT License - See LICENSE file for details
For questions or support, contact: JoyBoy888ball@github.com