Legal AI startup Harvey is valued at $11 billion. Legora, at $5.6 billion. While these two unicorns fight over law firms' wallets, a completely different company in a completely different market just grew its revenue 40x in 90 days.
And it wasn't chasing law firms — it went after in-house legal teams.
Everyone Talks About Harvey First When It Comes to Legal AI
On March 10, 2026, Legora closed a $550M Series D led by Accel, hitting a $5.5 billion valuation. Then Nvidia's venture arm, NVentures, jumped in with an extra $50M, pushing that up to $5.6 billion. 800 law firms are already using it, and headcount went from 40 to 400 in a single year.
Two weeks later, on March 25, Harvey wasn't about to be outdone — it raised $200M led by Singapore's GIC and Sequoia, hitting an $11 billion valuation. That's up from $8 billion just three months earlier, in December 2025.
Both companies are chasing the same target: law firms. They're "AI for lawyers" — handling case research, drafting contracts, untangling complex litigation. It's exactly the kind of story that attracts capital.
But the Real 40x Growth Didn't Come From Law Firms — It Came From In-House Legal Teams
This is about a startup called Sandstone. It raised a $10M seed round led by Sequoia in January 2026, then a $30M Series A led by Lightspeed in June.
Sure, those numbers look tiny next to Harvey's and Legora's rounds. But here's the thing — revenue grew 40x in the 90 days before that Series A. And the customer list spans every industry you can name: Wayfair, Grindr, Mercury, Cox Media, ElevenLabs.
What Sandstone actually does is pretty simple. It pulls legal requests scattered across Slack, email, and Jira into one place, has AI triage and prioritize them, then routes drafting, review, and analysis through custom workflows. Co-founder Jared Stridom put it this way: "AI properly routes and triages the work, and lets you build custom workflows on top of that." CEO Nick Fleischer put it more bluntly: "In-house legal has been a software blind spot for way too long, and now we can finally fix it."
| Law-firm AI (Harvey, Legora) | In-house legal AI (Sandstone) | |
|---|---|---|
| Target customer | Law firm attorneys | Corporate in-house legal teams |
| Core problem | Case research, contract drafting | Fragmented work intake (Slack, email, Jira) |
| Recent funding | $200M / $550M | $30M |
| Growth metric | $11B–$5.6B valuation | 40x revenue in 90 days |
So Why Did Harvey and Legora Leave This Market Alone?
According to Deloitte research, only 4% of general counsel (GC) say they've directly felt the benefits of AI from their outside law firms. 58% said their outside counsel "rarely or never proactively shares the efficiency gains they've gotten from AI."
When AI makes law firms more efficient, their own revenue — billable hours — shrinks, so they have zero incentive to advertise that to clients. That's exactly why GCs expect outside legal spend to drop 20-40% over the next three years, as work gets insourced and AI adoption grows.
Meanwhile, in-house legal teams have a completely different bottleneck. Progress Software's 2026 legal survey found that 47% of respondents said work intake takes 4+ days, even though they themselves believed 2-3 days should be enough. 84% said inconsistent processes across teams and systems were killing their efficiency, and 92% said they could handle more work if things were simply automated.
LegalOn's research paints a similar picture. 52% of in-house legal teams are already using or piloting AI for contract review — nearly 4x the rate from 2024. Given that reviewing a single contract takes 3.1 hours on average, there's clearly a lot of room for automation.
How to Apply This Insight to Your Own Team
This isn't just about legal teams. While Harvey and Legora slug it out for unicorn status in the flashy law-firm market, 40x growth happened in an adjacent market nobody was watching — and that positioning strategy is a lesson that applies to any team.
- Count your intake channels first
How many channels — Slack, email, Jira, forms — do work requests come in through for your team? More than 3, and you're already fragmented. - Measure the intake-to-resolution gap
Check whether you have the same gap in-house legal teams do, where things take 4 days but everyone agrees 2-3 should be enough. That gap is your automation opportunity. - Look past the loudest market
If all the capital and attention in your industry is chasing one flashy customer segment, look for the quiet, neglected segment right next door. - Check your partners' incentives
See whether your outside partners or vendors actually lose revenue when they make your team more efficient — just like law firms do.
Want to Go Deeper?
Sandstone's $30M Series A announcement The original article this piece draws from — full investor list and founder interviews included. techcrunch.com
A deep dive on Sandstone's product and growth metrics Covers what's behind the 40x revenue growth in 90 days and its "Legal Relationship Management" positioning. artificiallawyer.com
The article on Harvey's $11 billion valuation Full details on the $200M round led by GIC and Sequoia. cnbc.com
The article on Legora's $5.6 billion valuation Covers the 10x headcount growth and how it landed 800 law firm clients. techcrunch.com
The 2026 Legal Survey Report Packed with on-the-ground stats on intake times and process fragmentation in legal teams. globenewswire.com
The State of AI for In-House Legal report A survey of 452 in-house legal professionals showing the trend in AI adoption for contract review. legalontech.com
Deloitte's analysis on the future of in-house legal AI Covers the AI adoption gap between law firms and in-house teams, plus the 3-5 year outlook. artificiallawyer.com
