https://github.com/iclrandd/legalhackers2019

This repository contains materials for the Open Legal Data Forum at the Legal Hacker 2019 (September 2019 + Brooklyn, NYC)
https://github.com/iclrandd/legalhackers2019

Last synced: about 2 months ago
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This repository contains materials for the Open Legal Data Forum at the Legal Hacker 2019 (September 2019 + Brooklyn, NYC)

• Host: GitHub
• URL: https://github.com/iclrandd/legalhackers2019
• Owner: ICLRandD
• Created: 2019-09-01T11:37:08.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2022-12-08T06:06:29.000Z (about 2 years ago)
• Last Synced: 2023-03-02T23:46:44.521Z (almost 2 years ago)
• Language: Jupyter Notebook
• Size: 688 KB
• Stars: 13
• Watchers: 3
• Forks: 1
• Open Issues: 8
• Metadata Files:
  • Readme: README.md

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README

        
# Legal Hackers Annual Summit 2019 (Brooklyn, NYC)



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:

1. Clone this repo and `cd LegalHackers2019`

2. Create a virtual enviroment `python3 -m venv lh2019`

3. Activate the virtual environment `source lh2019/bin/activate`

4. Install the requirements `pip install -r requirements.txt`

5. Run Jupyter `jupyter-lab`