Jupyter Notebooks for the OLDP Project

This repository contains serveral Jupyter Notebooks that demonstrate how to use data from the Open Legal Data project.

Python Examples:

• How to use the OLDP Python client: client_demo

• Train a N-gram model based on case text: ngram_model

• Use extract and add annotations (litigation values) to cases: litigtation_value

• Visualization data from the citation/references dump: references

• Publication statistics: publication-stats

• Topic modeling and topics over time: topics

Getting started

Installation

Get a copy of the repository:

$ git clone [email protected]:openlegaldata/oldp-notebooks.git

Before getting started you have to install the Python dependencies. We recommend using Python version >= 3.12. The commands assume that you use pip or uv:

$ cd oldp-notebooks

# create virtual environment
# ... with venv
$ python3 -m venv .venv

# ... or with uv
$  uv venv --python=3.12

# activate environment
source .venv/bin/activate

# install depdencies
# ... with pip
$ pip install -r requirements.txt


# ... with uv
$ uv pip install -r requirements.txt

Each notebook may have its individual dependencies. Please check the introduction inside the notebooks.

Run notebooks

To run the available notebooks via Jupyter you need to run the following command:

jupyter notebook

Google Colab

You can also run the Jupyter notebooks directly on Google Colab:

• Publication Statistics

Citation

Please cite the following research paper, if you use our code or data:

@inproceedings{10.1145/3383583.3398616,
author = {Ostendorff, Malte and Blume, Till and Ostendorff, Saskia},
title = {Towards an Open Platform for Legal Information},
year = {2020},
isbn = {9781450375856},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3383583.3398616},
doi = {10.1145/3383583.3398616},
booktitle = {Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020},
pages = {385–388},
numpages = {4},
keywords = {open data, open source, legal information system, legal data},
location = {Virtual Event, China},
series = {JCDL '20}
}

License

MIT