Research Projects

RISE

AI assistant serves as first point of contact for legal questions

Start: 03/2025

End: 10/2025

Complex legal situations overwhelm many people and organizations. The project RISE (Regulatory Interpretation SimplifiEd with AI) democratizes access to legal knowledge, strengthens legal compliance, and promotes digital sovereignty—especially for SMEs without legal experts. 

SMEs often do not have their own legal departments and struggle with complex, changing laws. However, legal advice is expensive. The project RISE develops an AI-based open-source tool that helps companies interpret and implement complex legal requirements using generative language models. It offers fast, transparent analysis and simplifies the management of legal requirements as a first point of contact.

The project is aimed at small and medium-sized enterprises, engineers, developers, managing directors, and law firms. Automated preliminary analyses accelerate legal processes, reduce consulting costs, and lower compliance costs. This increases the competitiveness of companies, especially in the highly regulated European market.

The legally compliant application of generative AI in normative contexts has not yet been sufficiently researched in terms of methodology. RISE contributes to interdisciplinary research by combining AI research, legal evaluation, and an open-source approach. The project combines retrieval-augmented generation (RAG), prompt engineering, multi-LLM strategies, meta-prompting, and embedding optimization for context-specific processing of laws, standards, and norms. Manual legal reviews ensure the quality of the results.

Role of the FZI

The FZI is independently responsible for all tasks in the RISE project and contributes its expertise in the areas of language models and law:

  • Setting up the RAG infrastructure
  • Developing and evaluating prompts and LLM roles
  • Conducting test scenarios with legal expertise
  • Open-source publication and accompanying consulting services

Contact

Jacob Langner

Department Manager
Division: Embedded Systems and Sensors Engineering

Research Focus

Applied Artificial Intelligence

In this research focus, the FZI concentrates on practical research into the key technology of Artificial Intelligence (AI). Innovative AI solutions are developed and transferred to application areas such as mobility, robotics, healthcare technology, logistics, production, and supply and disposal on behalf of our partners and customers.

Funding notice:
The project RISE is funded by the Ministry of Economic Affairs, Labour and Tourism Baden-Württemberg.

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