A collection of scripts to crawl English legal corpora 📕 from open public domains.
- The current version supports the following domains:
| Corpus | Domain | Corpus alias |
|---|---|---|
| 🇪🇺 EU legislation | https://eur-lex.europa.eu/ | eu |
| 🇬🇧 UK legislation | https://legislation.gov.uk/ | uk |
| 🇨🇦 Canadian legislation | http://laws.justice.gc.ca/eng/ | ca |
| 🇯🇵 Japanese legislation | http://www.japaneselawtranslation.go.jp/law/ | jp |
| 🇫🇮 Finish legislation | https://www.finlex.fi/en | fi |
| 🇺🇸 US case law* | https://case.law/bulk/download/ | us |
* In order to use the script for US case law, you need to first apply for a researcher account at https://case.law.
- For US public filings, e.g., contracts, please use the library OpenEDGAR (https://github.com/LexPredict/openedgar) by LexPredict.
- Documents are saved in raw text format, amend the code if you wish to better handle metadata, document structure, etc.
- If you aim to use the code, please carefully read the individual license agreements with respect to re-use, re-publication, terms of use, etc. 📝
- The text cleansing from the original PDF/HTML files is minimal. Consider amending the scripts and/or writing your own post-processing data cleansing process that better fit for each corpus. 🚧
- These scripts aim to give researchers a kick start for scraping legal corpora from public domains. They should not considered a stand-alone qualified solution. 🚧
- json-lines
- tqdm
- beautifulsoup4
The following linux packages are used to process PDF documents:
- pdftocairo
- pdftotext
- mutool
- gs
pip install -r requirements.txt
sudo apt-get install libcairo2-dev
sudo apt-get install libpango1.0-dev
sudo apt-get install -y xpdf
sudo apt-get install mupdf mupdf-tools
python download_legal_corpora.py --corpus ca
python download_legal_corpora.py --corpus eu
python download_legal_corpora.py --corpus all
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