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TrustHLT/
ModernBERT-large-madon-formalism

Name: ModernBERT-large-madon-formalism
Availability: InStock

text-embeddings-inference

endpoints_compatible

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ModernBERT-large-madon-formalism

This model is a companion for the paper Mining Legal Arguments to Study Judicial Formalism. It is part of the MADON project, which aims to study judicial reasoning in the decisions of Czech Supreme Courts.

Model Description

This model is based on the ModernBERT architecture and was adapted to the Czech legal domain through continued pretraining on a corpus of over 300,000 Czech court decisions. It is specifically fine-tuned for the holistic formalism classification of full legal documents, identifying whether a judicial decision is formalistic or non-formalistic.

Task: Holistic formalism classification
Language: Czech
Dataset: MADON (Czech Supreme Court decisions)
Repository: trusthlt/madon

Usage

If you want to use it for holistic formalism classification of Czech legal court documents, we suggest:

python

from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline

model = AutoModelForSequenceClassification.from_pretrained("TrustHLT/ModernBERT-large-madon-formalism")
tokenizer = AutoTokenizer.from_pretrained("TrustHLT/ModernBERT-large-madon-formalism")

pipe = pipeline("text-classification", model=model, tokenizer=tokenizer)

# The expected input is a full Czech legal court document
text = "Dovolání se zamítá..." # Example Czech legal text

print(pipe(text))

Citation

If you use this model or the MADON dataset in your research, please cite the following paper:

bibtex

@article{madon2025mining,
  title={Mining Legal Arguments to Study Judicial Formalism},
  author={Kocián, Michal and Šavelka, Jaromír and Moravčík, Jakub and Gavenčiak, Tomáš and Harašta, Jakub and Štefánik, Michal},
  journal={arXiv preprint arXiv:2512.11374},
  year={2025}
}