Well-Settled Research
softwareA computational legal research project analyzing Supreme Court decisions and legal precedents using natural language processing
period: 2014-2014
tech:
Legal Analytics
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A research project focused on computational analysis of legal texts, particularly Supreme Court decisions. The project explores how certain legal principles become “well-settled” through citation patterns and language usage.
Project Structure
The repository includes:
- Question answering system for Supreme Court cases
- Results analysis framework
- Natural language processing pipeline using Stanford Parser
- Data processing utilities for legal text analysis
Technical Approach
The project leverages:
- Python for core data processing and analysis
- Stanford Parser for syntactic analysis of legal texts
- Custom algorithms for tracking legal concept evolution
- Structured output format for research results
Research Focus
This work investigates:
- How legal precedents become established over time
- Citation patterns in Supreme Court decisions
- Language markers of “settled” vs. evolving legal principles
- Computational methods for legal text analysis