I've seen this time and time again: cost savings that come at the expense of output quality don't ship here at @harvey. Instead, we invest in the engineering required to achieve both. Proud to be part of a team that chooses the harder, customer-first path!
The hardest thing about building @harvey is doing what’s best for our customers despite immense pressure to do what’s easy.
The easy thing would have been to force our customers onto consumption pricing before they were ready and serve them worse models to protect our margins.
We chose to help our customers transition on a timeline that works for them and give them the best models in the meantime, even though it hurt our margins.
This meant optimizing our product through routing, harness improvements, and post-training so we could serve frontier intelligence at an affordable price.
It also meant building the infrastructure for customers to monitor and manage spend: usage dashboards, per-matter cost attribution, spend caps, and ROI reporting.
As a result, we improved our gross margins from -50% to positive in a single quarter despite usage doubling month over month and continuing to serve the best models.
Our philosophy is simple: do what’s best for our customers, even when it’s painful, hurts our margins, or draws criticism from competitors, X, and the press.
We believe the most important part of building a company is earning and keeping your customers’ trust. You do that by doing the hard thing for them, even when it costs you.
We’ve raised $550M at a $15.5B valuation co-led by @lightspeedvp and @DiffusionVC.
We're using this funding to help law firms, in-house legal teams, and professional services build and own their intelligence.
Watching friends build something is always special, but this one feels especially meaningful.
I’ve known @justoutquan since college and worked with @nairvarun18 for almost 2 years. They’re thoughtful, relentless, and deeply care about their users.
Check out @tomo today!
It's been 3 years since AI exploded, but nobody's life has improved outside of Silicon Valley.
Tomo is for real humans, like my little brother Lucas
and 10,000 other humans taking a chance on themselves every single day.
@itsandrewgao They cited budget as the main reason - I'm sure part of it was also distribution skew where people would enter for math, ds, etc, and then switch to CS, leaving fewer students for other technical majors
This is crazy - Harvey was key in helping Neal Katyal win a case in the SUPREME COURT
…and the same tech is now available FOR FREE for law school students
If this isn’t a sign of massive societal shift, I don’t know what is. So proud to be part of making this happen.
How does a seasoned Supreme Court lawyer prepare for the biggest case of his life? Using Harvey.
Read how Harvey supported @neal_katyal in refining his arguments before the Supreme Court and how we are bringing those tools to law schools with Harvey Moot: https://t.co/r3IIKiTwxV