Current Build Information

Build Date: 2020/12/19 23:04:48
Number of cases: 13759


Database: Open Database License:
Code: MIT License

European Court of Human Rights OpenData project

The project

The European Court of Human Rights Open Data (ECHR-OD) project aims at providing formatted and standardized open data about the European Court of Human Rights (ECHR) in order to draw the attention of Data Scientists, Machine Learning practionners as well as researchers on legal analysis and related area.

ECHR-OD is guided by three core values: reusibility, quality and availability.

To reach those objectives,

  • each version of the database and datasets are carefully versionned and publicly available, including the intermediate files,
  • the integrality of the process and files produced are carefully documented,
  • the script to retrieve the raw documents and build the database and dataset from scratch are open-source and carefully versionned,
  • no data are manipulated by hand at any stage of the creation process.


Explore online ECHR data


Download data to reuse

Connect API

Integrate into your app


References and examples

On GitHub

Repository containing the code to rebuild the data from scratch:
Repository containing the code of this explorer:

Where to start?


ECHR-OD accepts contributions under various forms:

  • Reports of misformed or incorrectly processed data,
  • New data sources, provided it can be retrieved or rebuilt from scratch,
  • Visualization and data explorations based on the provided data to enrich the project,
  • Datasets for any type of problems related to Machine Learning, Knowledge Management or Data Science, based on the database,
  • Suggestions, improvement, feature requests or simple questions about the data to improve the documentation.
All contributions must be opened in the GitHub issue tracker to ease the discussions.


If you plan to reuse any component of the ECHR-OD project, please cite as:

  author    = {Alexandre Quemy and Robert Wrembel},
  title     = {On Integrating and Classifying Legal Text Documents},
  booktitle = {Database and Expert Systems Applications - 31st International Conference,
              {DEXA} 2020, Bratislava, Slovakia, September 14-17, 2020, Proceedings,
              Part {I}},
  series    = {Lecture Notes in Computer Science},
  volume    = {12391},
  pages     = {385--399},
  publisher = {Springer},
  year      = {2020},
  url       = {\_25},
  doi       = {10.1007/978-3-030-59003-1\_25}

Publications citing ECHR-OD
  1. Filtz, Erwin and Navas-Loro, Maria and Santos, Cristiana and Polleres, Axel and Kirrane, Sabrina:
    Events Matter: Extraction of Events from Court Decisions. International Conference on Legal Knowledge and Information Systems, (JURIX), 2020
  2. Conor O’Sullivan:
    Using Machine Learning to Predict Judicial Decisions. Master of Science dissertation, University of Dublin, Trinity College, 2020
  3. Alexandre Quemy and Robert Wrembel:
    On Integrating and Classifying Legal Text Documents. Database and Expert Systems Applications, (DEXA), 2020
    [pdf] [bibtex]
  4. Alexandre Quemy:
    European Court of Human Right Open Data project. CoRR abs/1810.03115 (2018)
    [pdf] [bibtex]