Lawyers Meet AI: $30M Bet to Transform In-House Legal Teams

Here's the thing: in-house legal teams at big companies waste roughly half their day doing busywork—searching through contracts, pulling data from documents, drafting reports that could've been automated a decade ago. Sandstone figured out that the legal tech market was still stuck in the early 2000s, filled with clunky software that feels like it was built by people who've never actually talked to a lawyer.

So the startup built something different: an AI specifically trained to understand legal language, analyze contracts, and handle the grunt work that makes lawyers hate their jobs. Not a generic chatbot that hallucinates citations (looking at you, ChatGPT). Something that actually gets law.

The funding round—led by Lightspeed with Sequoia jumping in—isn't random. It reflects a hard economic reality: hiring external law firms for every little thing is expensive and slow. Internal teams backed by AI? Cheaper, faster, and you keep everything in-house. That's the bet.

The real question is whether lawyers will actually trust it. Legal teams are notoriously skeptical of new tools—they like precedent, caution, and proven systems. But when the alternative is hours of manual document review, the pitch becomes a lot more appealing.

With 30 million in the bank, Sandstone now has the runway to prove this works at scale. They'll need to keep proving it, too. Because convincing risk-averse legal departments to let AI into their workflows is a marathon, not a sprint.