AI-assisted German Employment Contract Review: A Benchmark Dataset

Oliver Wardas, Florian Matthes
1/27/2025
cs.CL

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Abstract

Employment contracts are used to agree upon the working conditions between employers and employees all over the world. Understanding and reviewing contracts for void or unfair clauses requires extensive knowledge of the legal system and terminology. Recent advances in Natural Language Processing (NLP) hold promise for assisting in these reviews. However, applying NLP techniques on legal text is particularly difficult due to the scarcity of expert-annotated datasets. To address this issue and as a starting point for our effort in assisting lawyers with contract reviews using NLP, we release an anonymized and annotated benchmark dataset for legality and fairness review of German employment contract clauses, alongside with baseline model evaluations.

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Cite this paper

@article{wardas2025aiassisted,
  title  = {AI-assisted German Employment Contract Review: A Benchmark Dataset},
  author = {Oliver Wardas and Florian Matthes},
  year   = {2025},
  eprint = {2501.17194},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2501.17194v1}
}

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