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AIFunding|June 10, 2026, 11:16 AM
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Sandstone Raises $30M For AI Workflow Tools In Company Legal Teams

BySendTech Times AI & Enterprise DeskNewsroom-edited, source-reviewed coverage
Newsroom brief

Sandstone raised $30 million in Series A funding led by Lightspeed Venture Partners to build AI workflow tools for in-house legal teams at small and mid-sized businesses.

Verified against source materialEdited by SendTech Times AI & Enterprise DeskSource: TechCrunch
Sandstone Raises $30M For AI Workflow Tools In Company Legal Teams
Image source: TechCrunch

Sandstone targets in-house legal operations

Sandstone has raised $30 million in Series A financing to build AI software for in-house legal departments.

The round was led by Lightspeed Venture Partners and included existing investors Mantis VC, SV Angel, Operator Partners, Kearny Jackson, Daybreak Ventures, Litquidity Ventures and others.

It follows a $10 million seed round in January led by Sequoia, giving the company two disclosed financing events within six months.

The workflow bet

The company is focused first on legal departments at small and mid-sized businesses.

Its product thesis is that legal work arrives through scattered channels such as Slack, email and Jira, then needs triage, routing and repeatable workflows before deeper legal analysis can be useful.

Jarryd Strydom, co-founder and chief operating officer, said AI can help direct incoming work and support custom workflows for drafting, reviewing and legal analysis.

That makes Sandstone different from legal reasoning systems such as Harvey and Legora.

Its nearer claim is operational: relationship management and workflow automation can become useful if they match the daily work pattern of company legal teams.

The timing also shows how quickly legal AI vendors are being expected to turn capital into focused products.

A January seed round led by Sequoia gave Sandstone an initial financing base, while the new Series A adds larger venture backing before the company has disclosed customer numbers or revenue.

That gap makes execution evidence more important than category momentum.

What investors still need proved

Lightspeed’s bet is tied to specialized vertical AI, where the value depends on granular knowledge of a job rather than a broad assistant interface.

Sandstone still has to prove that point with teams that may have limited budgets and low tolerance for unreliable automation.

The source provides funding, investor and product details, but not customer numbers, revenue or deployment scale.

Competition is moving close to the same market.

Anthropic has been building Claude for Legal and added tools in May for case law searches and deposition preparation.

Sandstone’s next proof point is whether routing, triage, drafting and review support can become a durable system of record for in-house legal teams.

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