It may take 3 minutes for the program to set itself up
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-----Longer Description-----
A Jupyter Notebook-based reference tool for deep analysis and exploration of commercial contract clauses.
The Contract Codex Reference Tool is an analytical project designed to facilitate the examination and referencing of commercial contract clauses. Built as an interactive Jupyter Notebook, it provides a structured environment for legal professionals, analysts, and researchers to explore pre-processed contract data, understand common clause structures, and identify key commercial terms. This tool leverages local data stores for efficient lookups and comprehensive analysis, making complex contract review more streamlined and insightful.
- Interactive Clause Analysis: Explore and analyze commercial contract clauses directly within a Jupyter Notebook environment.
- Efficient Data Referencing: Utilizes pre-processed data (hash values and metadata) for quick and efficient retrieval of contract clause information.
- Structured Data Storage: Manages contract metadata and associated hash values through local data files, ensuring data integrity and accessibility.
- Python-powered Workflows: Leverages Python's robust data science ecosystem for data loading, processing, and analytical tasks.
- Educational & Research Aid: Serves as a valuable resource for understanding contract language patterns and variations.
An example screenshot of the interactive Jupyter Notebook interface.
Core:
Data Storage:
- Local data files (
pysos_meta_data_db,pysos_hash_values) implementing pysos that uses persistant dictionaries and lists for simple object storage.
Inferred Libraries (Common for Data Science in Python):
(for data manipulation)
(for numerical operations)
(potentially for text feature extraction or clustering)
/
(for Natural Language Processing, text parsing)
To get started with the Contract Codex Reference Tool, follow these steps:
- Python 3.x: Ensure you have Python installed. You can download it from python.org.
- Jupyter: Install Jupyter Notebook for an interactive environment.
-
Clone the repository
git clone https://github.com/rcmckee/contract-codex-reference-tool.git cd contract-codex-reference-tool -
Install Python dependencies Since there isn't a
requirements.txtfile, you might need to install common data science libraries used in Jupyter notebooks. The notebook's first cell usually lists required imports.# Install Jupyter Notebook pip install jupyter # Install common data science libraries (adjust as per notebook's actual imports) pip install pandas numpy scikit-learn matplotlib seaborn # Add more if required by the notebook
-
Ensure data files are present The project relies on pre-processed data files:
pysos_hash_valuesandpysos_meta_data_db. These files should be present in the root directory after cloning. -
Start Jupyter Notebook
jupyter notebook
-
Open the Notebook In your browser, navigate to the Jupyter interface (usually
http://localhost:8888) and click onContract codex commercial clause reference.ipynbto open it.
contract-codex-reference-tool/
├── .gitignore # Specifies intentionally untracked files to ignore
├── Contract codex commercial clause reference.ipynb # Main Jupyter Notebook for analysis
├── LICENSE # Project license (AGPL-3.0)
├── README.md # This README file
├── pysos_hash_values # Local data file storing hash values (e.g., for clauses)
└── pysos_meta_data_db # Local data file storing metadata (e.g., for clauses or contracts)
The primary configuration comes from the internal structure and logic of the Contract codex commercial clause reference.ipynb notebook.
The tool depends on two local data files:
pysos_hash_values: Contains hash values, likely used for unique identification or integrity checks of clauses.pysos_meta_data_db: Stores metadata associated with contract clauses or contracts, enabling richer querying and analysis.
These files are expected to be present in the root directory alongside the Jupyter Notebook.
Development primarily involves working within the Contract codex commercial clause reference.ipynb file.
- Navigate to the project directory in your terminal.
- Run
jupyter notebook. - Select
Contract codex commercial clause reference.ipynbfrom the Jupyter dashboard in your browser.
- Modify Python code cells to enhance analysis, introduce new features, or update data processing logic.
- Add new markdown cells for documentation or explanation within the notebook.
- Ensure any new Python package dependencies are installed using
pip.
We welcome contributions to enhance the Contract Codex Reference Tool! If you have suggestions or improvements, please feel free to:
- Fork the repository.
- Create a new branch (
git checkout -b feature/your-feature). - Make your changes.
- Commit your changes (
git commit -am 'Add new feature'). - Push to the branch (
git push origin feature/your-feature). - Open a Pull Request.
Please ensure your contributions adhere to the project's licensing.
This project is licensed under the GNU Affero General Public License v3.0 - see the LICENSE file for details.
- The Python data science community and the creators of Jupyter Notebook for providing powerful open-source tools.
- All contributors to the libraries utilized within this project (e.g., Pandas, NumPy, scikit-learn, NLTK/spaCy).
- 🐛 Issues: GitHub Issues
⭐ Star this repo if you find it helpful!
Made with ❤️ by rcmckee