Catalogue of Tools & Metrics for Trustworthy AI

These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.

Mission KI: Compliance Monitor



Data spaces offer great innovation potential but often lack straightforward ways to ensure legal compliance. The AI-powered compliance monitoring solution by MISSION KI and Xayn closes this gap: a specialied language model alerts data providers and recipients in real time to potential legal risks in data transfer — transparent, efficient, and freely available as open source under the MIT license.

Together with the Berlin-based AI startup Xayn, MISSION KI has developed a specialised language model trained on European data law requirements (including GDPR, Data Act, DORA). The model takes individual contracts into account, analyses data transfers for approvals and policies, and flags potential risks or violations in real time.

This gives organisations a tool that automates compliance checks, boosts the efficiency of legal departments, and significantly simplifies the use of data spaces.

The language model is based on LLaMA 3.1 with 70 billion parameters and was trained on Deutsche Telekom’s cloud infrastructure. The application pipeline offers both chat and API access — and is fully open source.

Who Benefits from These Solutions?

  • Companies in Regulated Sectors: for industries with strict requirements for legally compliant data exchange — such as healthcare, financial services, or the energy sector.
  • Data Space Operators: automated compliance checks enhance the existing service offering.
  • Startups and SMEs: for organisations that regularly handle sensitive or third-party data — even without an in-house legal department.
  • Public Authorities and Research Institutions: for the structured documentation of contractually governed data processes.

Thanks to its open-source approach, the system can be individually customized and integrated into existing data infrastructures.

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Disclaimer: The tools and metrics featured herein are solely those of the originating authors and are not vetted or endorsed by the OECD or its member countries. The Organisation cannot be held responsible for possible issues resulting from the posting of links to third parties' tools and metrics on this catalogue. More on the methodology can be found at https://oecd.ai/catalogue/faq.