E-Commerce DOI: 10.38023/a3788d39-3278-4ae5-b5b7-c73b01e6a6f2

AI-Assisted German Employment Contract Review

A Benchmark Dataset

Oliver Wardas
Oliver Wardas
Florian Matthes
Florian Matthes
Rechtsgebiete:

E-Commerce

Sammlung:

Tagungsband IRIS 2025

Zitiervorschlag: Oliver Wardas / Florian Matthes, AI-Assisted German Employment Contract Review, in: Jusletter IT 30. April 2025

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.


Inhaltsverzeichnis

  • 1. Introduction
  • 2. Background
    • 2.1. Employment Contracts
    • 2.2. Legal NLP
  • 3. Related Work
    • 3.1. Contract Analysis
    • 3.2. Legal NLP Datasets
  • 4. The Dataset
    • 4.1. Contract Source
    • 4.2. Label Explanations
    • 4.3. Annotation Process
    • 4.4. Data Insights
  • 5. Baseline Models
    • 5.1. Models and Training Parameters
    • 5.2. Data Preprocessing
    • 5.3. Results and Discussion
  • 6. Conclusion
    • 6.1. Contribution
    • 6.2. Future Research
  • 7. Limitations
  • 8. Ethical Considerations
  • 9. Literature
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