Diversity, equity, and inclusion in a legal AI company — what does that actually mean when you're a small team?
I'm not going to pretend we have a 50-person diversity council or a structured ERG programme. We're an early-stage startup. But there's a form of equity I think about every day, and it's built directly into our product: who gets access to good legal research tools.
The access problem in legal technology
Legal research software has historically been expensive, jurisdiction-specific, and designed for large firms. Established platforms price at enterprise levels. A solo practitioner in Prague, a junior lawyer at a small firm in Dubai, a student in Sydney — these users have been either priced out entirely or forced to use inferior tools.
That's an equity problem. It means the quality of legal research available to you depends substantially on where you work and how much your employer pays. We don't think that's acceptable.
How Vitreon addresses it
Our free tier — 3 research queries per day, no credit card required — isn't a loss-leader funnel. It's a deliberate decision that someone who cannot pay should still be able to run a meaningful research query and get a grounded, cited answer.
Our jurisdictional coverage is also deliberate. We cover Czech Republic law — a market consistently overlooked by major legal AI players focused on English-language common law jurisdictions. Czech law is complex, frequently updated, and governs over 10 million people. We built a real corpus for it. We also cover DIFC (Dubai International Financial Centre), serving a rapidly growing Middle East legal market; UK; and Australia — alongside each other in the same product.
Legal AI that only works in the US, or only in English, reinforces existing inequalities. We started where there was genuine unmet need.
Pricing designed for accessibility
Our Starter plan is $29/month — lower than a single module from major incumbents. Our Pro plan at $179/month brings per-query costs that make it viable for small firms doing serious research volume. The free tier has real functionality, not just a demo mode.
We're actively seeking investment and partnerships specifically to expand free-tier capacity. The goal is a system where the ability to pay does not determine the ability to do legal research.
What we can't claim — and what we can
I'll be direct: we're a small team at an early stage. We don't yet have comprehensive hiring diversity data to publish. What we do have is a product philosophy grounded in the question: who doesn't currently have access to this, and why?
That question shapes our roadmap. It shapes how we price. It shapes which legal corpora we build next.
Equity in legal AI isn't a checkbox. It's a design decision you make with every corpus you choose to include, every pricing tier you build, every jurisdiction you decide to support.