Sandstone Raises $30M to Build the Legal Department of the Future

Sandstone, in-house counsel legal AI software, led by Nick Fleisher, Jarryd Strydom, Liam Germain, and Jessica Nguyen, has announced $30 million in Series A financing, led by Lightspeed Venture Partners, with participation from existing investors.

The Missing Layer In Legal AI.

AI can now automate legal tasks like drafting, review, and research. But the knowledge that makes those tasks accurate- precedents, policies, workflows, and institutional know-how- often remains scattered across documents, messages, and individual lawyers.

Automating legal work without capturing this context simply speeds up execution without improving decision-making. The real opportunity is building the operational layer that turns fragmented legal knowledge into structured, reusable intelligence.

The Context Blind Spot.

Legal work ultimately comes down to three questions: Have we agreed to this before? Is the risk worth the business outcome? What happens if we're wrong?

Experienced lawyers answer these quickly because they understand the organization's history, policies, and risk tolerance. That context is the real value of the legal function.

Generic AI tools can draft documents and suggest edits, but they lack knowledge of a company's prior decisions, negotiation playbooks, and business objectives. As a result, they can generate convincing answers without the context needed to make them reliable.

The challenge in legal AI isn't producing words, it's connecting those words to the right organizational knowledge and decision-making framework.

Routing Legal Work To The Right Level.

Most legal work today defaults to the most expensive resource available, whether that's a frontier AI model or an outside law firm. But not every task requires that level of expertise.

The key is knowing what the task actually is and routing it accordingly. A routine NDA renewal shouldn't be treated like a complex acquisition, just as simple administrative work doesn't require a general counsel.

By capturing a company's legal playbooks, precedents, and decision frameworks, Sandstone can route work to the appropriate level of intelligence while maintaining accuracy and consistency. Lower-cost models can handle routine tasks safely because they operate with the same organizational context, reserving premium legal resources for matters that truly require them.

The challenge isn't generating legal work, it's knowing which work needs which level of expertise.

See It. Route It. Learn From It.

See it. Sandstone brings together legal workflows, including intake, triage, drafting, and contract review, and connects them to the business context, policies, and precedents behind every decision.

Route it. Each request is automatically directed to the appropriate level of intelligence based on company playbooks and best practices, enabling fast and consistent handling of legal work.

Learn from it. Every approval, decision, and workflow strengthens the system's knowledge base. Over time, institutional expertise that once lived in individual lawyers' heads becomes a shared, continuously improving organizational asset.

One Layer, Every Door.

The core product is the legal context layer itself. Teams can use Sandstone directly or connect it to existing agents, assistants, and workflows through MCP, allowing legal knowledge to be accessed consistently across the organization.

Rather than recreating legal playbooks, precedents, and policies across multiple tools and integrations, Sandstone centralizes that knowledge in a single system of record. Every workflow, AI agent, and legal process can then draw from the same source of truth.

As the platform captures more decisions, approvals, and operational data, the context layer becomes increasingly valuable and accurate. The result is a scalable legal infrastructure layer that reduces complexity, improves consistency, and lowers the cost of deploying AI across legal operations.

Sandstone positions itself not as another legal SaaS application, but as the foundational infrastructure that powers legal intelligence across an organization's entire technology stack.

Rapid Growth Since The Seed Round.

Since closing its seed financing in January, Sandstone has experienced significant momentum:

• 40x+ revenue growth over the past 120 days

• Enterprise customers across retail, technology, and manufacturing

• Delivery of several major product milestones

The company’s thesis was that in-house legal teams are actively seeking better ways to manage legal operations and institutional knowledge, provided the solution is built around their real-world workflows. Early customer adoption and growth have reinforced that view, and the new Series A funding is intended to help scale the platform and expand its reach.

How The $30 Million Will Be Used.

The new funding will support three core priorities:

• Scaling enterprise customer success: Sandstone plans to expand the team and infrastructure needed to onboard and support large, complex legal organizations more effectively as adoption grows.

• Hiring at the intersection of law and technology: The company is recruiting across multiple functions, focusing on people who understand both legal operations and modern AI-driven software systems.

• Building the in-house legal community: Sandstone aims to create a stronger network for in-house legal professionals, helping them share best practices and shape what AI-native legal departments will look like in the years ahead.

The overall goal is to accelerate adoption of Sandstone's legal infrastructure platform while supporting a broader shift toward AI-powered legal operations.

Why Sandstone Exists.

Sandstone was founded by people who experienced firsthand how legal knowledge becomes fragmented across organizations. The founders saw critical context trapped in inboxes, chat threads, documents, and individual expertise, creating inefficiencies that slowed legal teams and the broader business.

Their belief is that legal departments hold some of the most valuable institutional knowledge inside a company, yet have historically been underserved by software. While other business functions benefited from modern, intuitive tools, legal teams were often left with fragmented systems that failed to capture and leverage organizational context.

Sandstone was built to change that by turning legal knowledge into a shared, structured, and continuously improving asset. The company's partnership with Lightspeed Venture Partners and its recent funding round reflect growing conviction that legal operations represent a major opportunity for AI-native infrastructure, rather than simply another application of generative AI.

From Sand To Stone.

Legal teams have always been the custodians of an organization's most important context, its precedents, policies, decisions, and risk frameworks. Historically, that knowledge lived largely in documents and individual expertise.

Today, AI and modern software make it possible to capture that context in a structured system where it can be shared, measured, and continuously improved. Instead of remaining fragmented across people and tools, institutional knowledge becomes a durable asset that compounds over time.

The vision behind Sandstone is simple: transform scattered legal knowledge into a persistent operational layer that makes every decision, workflow, and AI system smarter with each use.