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Founders Mentioned

Nick Fleisher

Sandstone Technology

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Liam Germain

Sandstone Technology

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Nick Fleisher

Sandstone Technology

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Liam Germain

Sandstone Technology

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June 16, 2026
Legal TechEnterprise AiB2b SaasSeries A

Sandstone Lands $30M Series A for In-House Legal AI Platform

Five months after its Sequoia-backed seed, the legal AI startup secures Lightspeed funding amid 40× revenue growth and enterprise wins at Wayfair, Mercury, and Grindr.

Sandstone Lands $30M Series A for In-House Legal AI Platform

Five months ago, Sandstone Technology was a $10 million seed-stage startup with a modest pitch: help in-house lawyers automate the tedious stuff. Now, after a $30 million Series A led by Lightspeed Venture Partners, the New York company is betting that corporate legal teams are ready to let AI agents do far more than just scan contracts.

The funding, announced June 9, 2026, arrives at a moment when legal tech has become one of the most crowded—and richest—corners of the enterprise software world. But Sandstone's trajectory suggests something else is happening beneath the hype: a genuine appetite among corporate counsel to rethink how they work, and how quickly.

In the three months leading up to June 9, 2026, Sandstone claims its revenue grew more than 40-fold, though no independent financials have been disclosed. The company now counts Wayfair, Mercury, Grindr, MasterClass, Cox Media, and ElevenLabs among its enterprise clients. For a startup that only recently emerged from stealth, that's the kind of growth that gets Sand Hill Road's attention—perhaps more than the founders expected when they first started pitching the product as "CLM-plus."

The Lightspeed Thesis: Legal Needs an Operating System

Lightspeed partners Guru Chahal and Lisa Han didn't just write a check. In a blog post published the same day as the round, they laid out a thesis that frames Sandstone as the "operating system for in-house legal," a phrase that signals ambition well beyond workflow automation.

The appeal, they wrote, lies in how Sandstone embeds itself. Rather than forcing lawyers to abandon Slack, email, Salesforce, or Jira, the platform slides into those tools and allows legal teams to "stand up AI agents in under 10 minutes" for intake, triage, first-pass contract redlining, and drafting. It's a design philosophy borrowed from how developer tools have evolved: meet users where they already are, rather than demanding they learn yet another dashboard.

Existing seed investors—Mantis VC, SV Angel, Operator Partners, Kearny Jackson, Daybreak Ventures, and Litquidity Ventures—also joined the Series A. Sequoia, which led the seed, was not explicitly named in Sandstone's press release, and its participation in the Series A remains unconfirmed by primary sources. Neither Sequoia nor Sandstone responded to requests for clarification by press time.

More Than a Contract Tool

Digital illustration for article section "More Than a Contract Tool" in "Sandstone Lands $30M Series A for In-House Legal AI Platform" - A conceptual and minimal illustration representing the evolution of legal relationship management be...

Sandstone's founders resist easy categorization. This is not just a contract lifecycle management (CLM) tool, they insist, nor is it purely a legal reasoning assistant in the vein of Harvey or other GPT-powered research platforms.

Instead, the company has built what it calls a "Legal Relationship Management" platform—a term of art that may or may not stick, but signals an attempt to unify intake, context, and execution. At its core sits a knowledge graph connecting contracts, counterparties, people, and email threads. Playbooks self-update based on negotiation outcomes. AI-populated columns surface relevant context without requiring paralegals to manually tag every clause.

The platform integrates with more than 50 tools, from the expected (Google Docs, Microsoft Word) to the enterprise-grade (Workday, Coupa, Asana, ServiceNow, Ironclad). Sandstone is SOC 2 certified, keeps data in the U.S., and pledges not to train models on customer data—a promise that has become table stakes in enterprise AI, but one that still merits saying out loud.

A Team Forged in Legal Operations

CEO Nick Fleisher previously led McKinsey's legal technology practice, while COO Jarryd Strydom was an in-house technology attorney who ran legal ops transformations at the same firm. Co-founder Liam Germain brings engineering and design chops from stints in cybersecurity and mapping software.

In March, the company made a notable hire: Jessica Nguyen as President, Chief Strategy and Legal Officer. Nguyen was most recently Deputy General Counsel for AI Innovation & Trust at DocuSign, and before that held senior roles at Lexion, PayScale, and Microsoft. It's the kind of résumé that suggests Sandstone is serious about building not just for legal teams, but with them.

The company has also partnered with LegalEng Consulting Group to help clients evaluate and implement the platform, and added Mary O'Carroll—former head of legal operations at Google and a prominent figure in the Corporate Legal Operations Consortium (CLOC)—as a product advisor. In legal tech, credibility often comes from who's willing to put their name on the product.

What the Money Buys

Digital illustration for article section "What the Money Buys" in "Sandstone Lands $30M Series A for In-House Legal AI Platform" - A conceptual, clean, and minimal illustration of a glowing golden seed rapidly sprouting into a mass...

Sandstone says it will use the capital to scale customer success for enterprise onboarding, hire across functions, and expand community-building efforts for in-house legal teams. Translation: the company is bracing for the operational demands that come with landing big clients fast.

According to industry analysts, enterprise sales in legal tech can be deceptively slow—or deceptively fast, depending on whether you've found product-market fit. Sandstone appears to have found it, though sustaining 40x quarterly revenue growth is another matter entirely. The next few quarters will reveal whether this is a true inflection point or a temporary sugar rush.

A Very Crowded Room

The legal AI sector has become something of a spectator sport. Harvey, which started as a GPT-4 wrapper for BigLaw associates, raised $200 million in March at an $11 billion valuation. Europe-based Legora extended its Series D by $50 million in April at a reported $5.6 billion valuation. And in May, Anthropic—perhaps sensing an opening—launched Claude for Legal, complete with integrations with DocuSign, LexisNexis, Thomson Reuters, and Everlaw.

Sandstone's focus on in-house teams is, at least for now, a differentiator. Harvey and Legora have concentrated more on law firm workflows, where the billable hour still reigns and associates are measured in six-minute increments. In-house legal operates differently: smaller teams, tighter budgets, and a mandate to say "yes" as often as possible without exposing the company to risk.

Lightspeed's investment thesis hinges on scale. The firm points to roughly $51 billion in annual spend on in-house legal departments, with nearly one in five U.S. lawyers now working inside companies rather than at firms. That's a lot of potential seats, and a lot of contracts that still get negotiated the old-fashioned way—one redline at a time.

Whether Sandstone can capture a meaningful slice of that market remains to be seen. But for now, the company has something perhaps more valuable than a massive valuation: momentum, and the cash to see where it leads.

More stories

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  • OpenAgents' Autopilot: A Self-Improving Coding Agent That Runs Locally
  • NewCore Raises $66M Seed to Manage AI Agent Identities at Scale
  • Imperum Raises Seed Round for AI-Powered Autonomous SecOps Platform
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