For many people with migration experiences, navigating Germany’s legal and administrative systems can feel like being lost in an overwhelming maze. The complexity of rules, regulations, and bureaucratic processes makes it difficult to access reliable information on migration and understand personal rights and steps for settling into work and life in Germany.
One of the biggest challenges is understanding complex legal and administrative language, which is often presented in terms that are difficult to decipher, particularly for non-native speakers. Even when information is available, it’s scattered across government websites, advisory portals, and legal texts, making it tough to find reliable, comprehensive answers that apply to individual situations.
Migrants often face critical questions: What are their labor rights? How can they navigate the visa and work permit processes? Where can they find support? While advisory organizations and experts exist to help, finding the right network of support—people who understand both the rules and the lived experience of migration—remains a significant challenge.
Lupai is an AI-powered web application designed to help users navigate migration and work-related issues in Germany. It allows individuals to ask questions in everyday language (currently available in six languages: German, English, French, Spanish, Portuguese, and Italian), making it accessible to a broad audience.
Lupai is developed jointly by aureka and the Educational Center Lohana Berkins and is Funded by the Civic Innovation Platform of the Federal Ministry for Labor and Social.
At the heart of Lupai is an AI-powered search engine that pulls from a database of hundreds of reliable, expert-curated sources. These sources are selected by legal advisors and experts to ensure the accuracy and relevance of the information. The database covers topics like migration law and labor rights, providing up-to-date answers based on trustworthy sources.
Lupai not only provides concise answers but also links to the original sources for full transparency. The platform additionally suggests relevant organizations that work on migration and employment issues, helping individuals connect with advisory services and engage with broader networks to support their rights.
Lupai was built through a collaborative, participatory process, engaging migrants, legal experts, and advisory organizations to ensure it met real-world needs. The project began with interviews with individuals with migration experiences and with professionals who provide advisory services. These insights shaped user stories and Lupai’s key functions, addressing the everyday challenges faced by migrants navigating complex bureaucratic systems.
Usability testing was crucial in refining Lupai’s interface. A workshop with potential users provided valuable feedback on the clarity and ease of use, while legal experts ensured the AI-powered responses were accurate and reliable. Open discussions with community members helped shape the platform’s vision, emphasizing Lupai’s role in bridging the information gap and fostering empowerment.
For those interested in the tech behind Lupai, this section explains the technical foundation.
Lupai utilizes an agent-based approach to large language models (LLM), combining several AI components to ensure accuracy, sensitivity, and reliability. Its core is a Retrieval-Augmented Generation (RAG) system, which enhances the assistant’s ability to retrieve relevant information from the knowledge database.
The RAG system uses embeddings—numerical representations of text that allow the AI to perform semantic searches. This is powered by a vector database, enabling efficient searches across hundreds of curated, reliable sources.
Additionally, Lupai employs various expert components, including systems that help formulate comprehensive questions, detect sensitive topics, and guide responses with appropriate language, especially for those affected by violence or exploitation. The platform also features critic experts who verify the accuracy of responses against the knowledge base, ensuring information is precise and trustworthy.
Lupai takes data privacy seriously, implementing data minimization and anonymization techniques to protect user information. The platform does not store user queries, and all processes comply with GDPR standards, ensuring privacy and security for its users.
Lupai has the potential to significantly improve access to accurate, expert-curated information on migration and work in Germany. By offering clear answers in multiple languages, Lupai helps individuals navigate complex bureaucratic systems and understand their rights. The platform empowers users with reliable information, enabling them to make informed decisions and access additional support when needed.
Furthermore, Lupai serves as a model for how civil society organizations can collaborate to shape AI technologies for social good, proving that AI can address the real-world needs of marginalized communities and promote social justice.
Lupai is set to expand its scope by partnering with organizations that provide data on other essential areas of life, such as housing, healthcare, and education. By integrating these new data sources, Lupai can become a comprehensive tool for navigating various bureaucratic challenges, offering reliable guidance across multiple domains.
Future development will continue to be driven by collaboration with civil society institutions, ensuring that Lupai evolves in ways that meet the real needs of its users. This collaborative approach allows Lupai to remain adaptable and focused on providing practical solutions to those navigating complex systems.
With ongoing collaboration and community-driven development, Lupai aims to be more than just an information tool. It strives to foster social impact by empowering individuals and supporting broader efforts to improve inclusion and access to rights in Germany.