@FinanceYF5: 2/ Strong growth: Harvey now has about $300M ARR, up from $100M in August last year. About 2,000 customers, 960 employees, 12 global offices, monthly token usage surged from 1 trillion to an estimated 12-13 trillion.

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Harvey's ARR grew from $100M to $300M, with about 2,000 customers, 960 employees, 12 global offices, and monthly token usage expected to reach 12-13 trillion, showing strong growth.

2/ 📊 Strong growth Harvey now has about $300M ARR, up from $100M in August last year. About 2,000 customers, 960 employees, 12 global offices, monthly token usage surged from 1 trillion to an estimated 12-13 trillion. https://t.co/KCKlCNnkeo
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2/ 📊 Growth is tough

Harvey is now about $300 million ARR, and it was $100 million just last August.

Around 2,000 customers, 960 employees, 12 global offices, with token monthly usage surging from 1 trillion to an expected 12-13 trillion. https://t.co/KCKlCNnkeo

Harvey’s insight: In the AI era, companies no longer sell software, but intelligence.

1/ Not legal software

Harvey CEO Winston Weinberg said: “Every company will eventually sell intelligence.”

Harvey appears to be legal AI, but what it really sells is lawyers’ judgment, research, review, and execution capabilities.

2/ Growth is tough

Harvey is now about $300 million ARR, and it was $100 million just last August.

Around 2,000 customers, 960 employees, 12 global offices, with token monthly usage surging from 1 trillion to an expected 12-13 trillion.

3/ SaaS sells tools

In the past, SaaS sold seats, processes, and workflows.

Customers bought software but still needed people to click, search, write, and review—the real output remained with humans.

4/ AI sells capabilities

AI companies don’t sell buttons; they sell callable professional capabilities.

At Harvey, customers aren’t buying a “contract system”—they’re buying due diligence, contract review, risk judgment, and legal intelligence.

5/ The moat has changed

Winston says Harvey’s real competitors aren’t other legal tech firms—they’re foundation model labs.

Its solution is to go deeper vertically: build the product into legal scenarios, tailor the model to specific tasks, and drive down costs.

6/ ROI is coming into focus

He raises a critical question: When a company spends $1 billion on tokens, how do you prove the return?

Every future AI buyer will ask the same thing: For each intelligence call, what did it save me or earn me?

7/ Big conclusion

In the SaaS era, companies sold software; in the AI era, companies sell intelligence.

Harvey’s story isn’t about the legal industry being transformed by AI—it’s about every company needing to redefine what they actually sell.

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