From manual data gathering to 40x revenue growth
Legal requests inside enterprise companies typically start the same way: a business team makes a request, and a lawyer begins a manual hunt across Salesforce, contract repositories, and email threads before they can do any actual legal work. Sandstone automates that upstream process, pulling context from messaging, email, and business systems automatically so that when a lawyer opens a request, the relevant information is already assembled.
The company's founding team brings a mix of McKinsey legal tech experience, engineering, and cybersecurity background, with lawyers working alongside engineers during product development. That combination has helped the team catch workflow details that matter in legal practice. Since launching, Sandstone's revenue has grown 40x in under six months, a trajectory the founders attribute to three capabilities on Vercel: preview deployments that build enterprise trust, an AI layer flexible enough for agentic workflows, and Secure Compute that keeps security conversations short.
Deployments that keep pace with enterprise expectations
Sandstone's customers expect fast turnaround, and lawyers notice small details. When a customer requested a scrollbar accessibility change on a Sunday, Co-Founder and CTO Liam Germain had the fix live in production in five minutes — a change he estimates would have taken five to ten times longer on another platform. Preview branches with inline commenting let the head of marketing comment directly on a live landing page via the Vercel Toolbar, which automatically creates a Linear issue assigned to engineering. What previously consumed an afternoon now happens in a single comment.
Vercel Flags manages feature flags across all of the company's applications, letting the team control what is live, what gets demoed, and what stays in progress without triggering a deployment. Sandstone runs a monorepo of over seven applications across multiple Vercel projects, using clean environment variable linking and a custom CLI built on Vercel's API. Every push to any repository generates a preview of production.
“Nothing has saved us more time than Vercel preview branches with comments.”
— Liam Germain, Co-Founder & CTO
Composable AI workflows without added infrastructure
Sandstone started as a triage product that routed requests to the right lawyer. The larger opportunity, however, was in the work that followed routing: lawyers were manually reconstructing context for every request by pulling details from disconnected systems. Automating that required infrastructure that could keep up with the product's ambition.
The platform now executes multi-step legal workflows end-to-end — searching thousands of procurement agreements, flagging the highest-risk ones, notifying owners via Slack, and alerting legal when responses arrive. Vercel's AI SDK is what makes these workflows composable enough for a small team to manage an expanding product surface. The SDK family spans multiple needs: Chat SDK powers the Teams integration, Emulate SDK handles integration testing for Slack and Okta, Agent Browser SDK runs agentic tests locally, and Flags SDK drives the toolbar. One SDK family, four workflows, zero additional infrastructure.
“I could add a new tool to our AI SDK setup in ten minutes. It's just made shipping super easy, and we trust that Vercel is front of market in terms of what's available.”
— Liam Germain, Co-Founder and CTO
Security as a single sentence
Sandstone uses Vercel Secure Compute to keep communication between Vercel and its data layer private. The implementation was straightforward, and it became a confidence-builder in enterprise conversations rather than a point of friction. When customers and prospects ask about security — and they always do — the answer is short: all traffic between Vercel and Sandstone's data layer is private and never crosses the public internet.
The company evaluates vendors by asking whether the platform will be ahead of the market in three to five years, a framework applied to both frontier model providers and core infrastructure. Sandstone connected with Vercel through the Sequoia startup partnership, which provided a shared Slack channel and access to engineers within ten days of founding the company, allowing real-time input on architecture decisions.
Scaling toward a system of action
Less than six months after launch, Sandstone has grown revenue 40x, landed customers in technology, manufacturing, and ecommerce, and raised a $30M Series A led by Lightspeed. The next goal is straightforward: get the platform into more legal departments.
The product direction points toward a Legal Relationship Management platform that manages intake while connecting every workflow to the business context behind it, surfaces issues before they arise, and operationalizes legal knowledge through supervised agents. Sandstone describes this as a system of action for the legal department of the future — an ambition that requires the underlying infrastructure to be a competitive advantage rather than a constraint. That is why the company runs on Vercel.
