AI Development
Vallora
Building Vallora, an AI assistant for real estate that turns complex servitudes into simple summaries in under 60 seconds.
How we’re unlocking legal bottlenecks in real estate with AI
The idea for Vallora emerged from a clear inefficiency in real estate: the manual, time-consuming process of reading and interpreting servitudes (easements) hidden in legal property documents.
Working closely with legal advisors, brokers, and real estate companies, we discovered just how much time, and frustration, this process caused. For every property, assistants and lawyers often spend 60–90 minutes interpreting outdated language and scanned PDFs just to assess basic restrictions.
With the rise of large language models, we saw an opportunity to eliminate this bottleneck. Vallora uses AI to extract, understand and summarize legal servitudes in seconds, saving hundreds of hours per client per year.
Today, we’re actively piloting the product with leading brokerages like Thorkild Kristensen, and seeing 90–95% reductions in time spent on legal prep. Accuracy is already at 95–97% for key clause detection, and improving fast.
Results and what’s next
We’ve built and deployed an MVP in less than 8 weeks and are now onboarding select clients into a structured pilot program. With early traction, a clear pricing model (DKK 2.950–11.500/month), and growing interest from law firms, our next step is scaling commercially.
I co-founded Vallora and lead go-to-market, positioning, cold outreach, and pricing strategy. I’m actively involved in onboarding, product feedback loops and preparing the foundation for scale, with a goal of launching publicly by Q4 2025.
400+ hours
While most of my client reviews are NDA-protected (because, you know, top-secret agency white label stuff), I managed to sneak in a few favorites from my previous partners.
