This repository contains materials for the Open Legal Data Forum at the Legal Hacker 2019 (September 2019 + Brooklyn, NYC)
We've made a little Jupyter Notebook that takes a hastily thrown-together spin through doing NLP with legal materials (in this case, a subset of the data made available under Harvard LIL's Caselaw Access Project.
If you just want to take a quick read of the notebook and avoid the hullabaloo of creating a virtual environment and running the notebook locally, we've saved the executed output of the notebook here: https://legalhackers19.s3.amazonaws.com/Legal_Hackers_2019.html
If you would instead like to run the notebook on your own machine, follow these steps:
- Clone this repo and
cd LegalHackers2019 - Create a virtual enviroment
python3 -m venv lh2019 - Activate the virtual environment
source lh2019/bin/activate - Install the requirements
pip install -r requirements.txt - Run Jupyter
jupyter-lab