# Towards an Open Platform for Legal Information

arXiv: https://arxiv.org/abs/2005.13342 · HTML: https://mlsanity.com/paper/2005.13342/

## Key facts

- Cited by 19 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 27 May 2020.

## Built on by (most cited first, 19 of 19)

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- [Evaluating Document Representations for Content-based Legal Literature Recommendations](https://mlsanity.com/paper/2104.13841/) (2021)
- [AGB-DE: A Corpus for the Automated Legal Assessment of Clauses in German Consumer Contracts](https://mlsanity.com/paper/2406.06809/) (2024)
- [GRAF: Graph Retrieval Augmented by Facts for Romanian Legal Multi-Choice Question Answering](https://mlsanity.com/paper/2412.04119/) (2024)
- [The German Commons - 154 Billion Tokens of Openly Licensed Text for German Language Models](https://mlsanity.com/paper/2510.13996/) (2025)
- [Re-Evaluating GermEval17 Using German Pre-Trained Language Models](https://mlsanity.com/paper/2102.12330/) (2021)
- [Domain Adaptation of Transformer-Based Models using Unlabeled Data for Relevance and Polarity Classification of German Customer Feedback](https://mlsanity.com/paper/2212.05764/) (2022)
- [Challenges and Considerations in Annotating Legal Data: A Comprehensive Overview](https://mlsanity.com/paper/2407.17503/) (2024)
- [Segmentation and Processing of German Court Decisions from Open Legal Data](https://mlsanity.com/paper/2601.01449/) (2026)
- [Bundesrecht: An Open Library and Corpus for German Statutory Reference Processing](https://mlsanity.com/paper/2605.31338/) (2026)
- [Data Science Kitchen at GermEval 2021: A Fine Selection of Hand-Picked Features, Delivered Fresh from the Oven](https://mlsanity.com/paper/2109.02383/) (2021)
- [Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding](https://mlsanity.com/paper/2404.05694/) (2024)
- [Data Processing for the OpenGPT-X Model Family](https://mlsanity.com/paper/2410.08800/) (2024)
- [MrBERT: Modern Multilingual Encoders via Vocabulary, Domain, and Dimensional Adaptation](https://mlsanity.com/paper/2602.21379/) (2026)
- [Verifiable Retrieval for Legal Reasoning through Structure-driven Knowledge Graph](https://mlsanity.com/paper/2610.13695/) (2026)

## Abstract (arXiv)

Recent advances in the area of legal information systems have led to a variety of applications that promise support in processing and accessing legal documents. Unfortunately, these applications have various limitations, e.g., regarding scope or extensibility. Furthermore, we do not observe a trend towards open access in digital libraries in the legal domain as we observe in other domains, e.g., economics of computer science. To improve open access in the legal domain, we present our approach for an open source platform to transparently process and access Legal Open Data. This enables the sustainable development of legal applications by offering a single technology stack. Moreover, the approach facilitates the development and deployment of new technologies. As proof of concept, we implemented six technologies and generated metadata for more than 250,000 German laws and court decisions. Thus, we can provide users of our platform not only access to legal documents, but also the contained information.