Sovereign AI agents for automated real estate contract and document intelligence
Securing sensitive real estate data with private AI agents that query contracts and score service documents in seconds.
Confidential (Government / Real Estate)
A confidential government-affiliated organisation required a highly secure, sovereign AI solution to manage a vast database of real estate contracts and property management documents. The goal was to transform static PDF archives into a searchable knowledge base while automating the evaluation of incoming service records without compromising data privacy.
The client faced significant manual overhead in retrieving specific clauses from thousands of complex real estate contracts. Furthermore, incoming property service documents required manual review to ensure compliance and quality, leading to high operational costs and frequent human error. Because the data involved sensitive public-sector information, using public LLM providers was not an option due to strict GDPR and data residency requirements.
What SevenLab built
SevenLab deployed a Sovereign AI Infrastructure on Scaleway, ensuring all data remains within the EU. We developed two specialised AI agents: one that uses RAG (Retrieval-Augmented Generation) to answer detailed queries about the contract database, and another that automatically scores incoming service documents across six critical categories.
Contract query agent
An AI agent that makes the entire contract database searchable, providing instant answers to complex legal and financial questions.
Sovereign cloud hosting
Full deployment on Scaleway infrastructure, ensuring 100% data sovereignty and compliance with strict privacy regulations.
Automated document scoring
An intelligent workflow that evaluates incoming service documents across six categories to identify risks and errors.
Property database integration
Seamless synchronisation with existing property management systems to ensure the AI always works with the latest data.
Measurable business impact
By moving to a sovereign AI stack, the organisation eliminated the security risks associated with public AI models while gaining massive efficiency. Contract retrieval time was reduced from hours to seconds, and the automated scoring of service documents has significantly lowered the error rate in property management workflows.
The ability to query our entire contract archive instantly while knowing our data never leaves our private environment has been a game-changer for our legal and operations teams. The accuracy of the document scoring exceeded our expectations.
Want results
like these?
Tell us your challenge and we'll show you how we'd solve it — with a clear scope, timeline, and fixed price.
Talk directly with our AI specialists