Harvey employs roughly 460 people. About 20% are lawyers.
Not for compliance. For sales credibility and product design โ defining the actual workflows step by step, what a partner does when reviewing a merger agreement, what "good" looks like.
That's the template for legal AI that actually gets adopted: domain expertise baked in at the product layer, not bolted on at the marketing layer.
The billable hour model faces pressure not from AI itself, but from the transparency AI enables.
When clients can see task-level time data, pricing conversations shift from trust-based to evidence-based.
That's the infrastructure layer worth building.
Patlytics raised $40M to automate patent work.
They report 80% faster project completion and $30K savings per claim chart. 40% of Am Law 100 firms are already customers.
Legal AI infrastructure is being rebuilt in real time.
4/ The most effective lawyers we see aren't resisting AI.
They're using it to handle commodity work faster, freeing time for the judgment and persuasion clients pay for.
3/ What remains distinctly human:
โ Judgment: knowing which risk matters for this client, in this context
โ Trust: being the person in the room when stakes are high
โ Persuasion: moving a counterparty off their position
These are the core of the work.
Weekday watching is shaped by notifications, trending tabs, and recommendation engines.
Weekend watching is different.
You open the app because you want to. You stay because the creator earned it. You come back because you chose to โ not because an algorithm decided you should.
On weekdays, people watch what the algorithm surfaces.
On weekends, people watch what they actually want.
That's a different kind of signal. And it's the one Gaze is built to measure.
@TheW3Space Glad it caught your eye. Start at https://t.co/u7ipJctdsN โ the protocol is live, the extension installs in 30 seconds. If you want to go deeper, everything is documented there.
YouTube is long-form.
You commit 40 minutes to a video.
You decide it was worth it, or you leave.
Twitch is live.
You show up when the stream starts.
You stay because something might happen.
These are different watching behaviors.
Gaze treats them as the same signal.
The creator economy is projected to hit $480 billion by 2027.
50% of creators earn under $15,000 a year.
4% earn over $100,000.
The growth is real. The distribution isn't.
A market that grows to $480B while half its participants earn less than a living wage isn't a creator economy. It's a platform economy with creators as the input.
The question isn't how big the market gets. It's who captures the growth.
Meta is launching creator product tags.
YouTube is building creator commissions.
TikTok Shop is expanding globally.
Every major platform is absorbing the tools that were built around them.
The pattern: a third-party tool proves the market, the platform builds it natively, the third-party loses its reason to exist.
What changes when the economics live on-chain instead of inside a platform's product roadmap?
@LinLyn99@LinLyn99 Exactly. But not all attention is equal โ scrolling past vs watching 40 minutes by choice. Gaze tracks verified watch time for specific creators, weighted by your commitment to them. The right kind of currency.
Attention is currency.
But not all attention is the same denomination.
Scrolling past a post. Watching an ad. Staying with one creator for 40 minutes because you chose to.
These aren't the same signal. They shouldn't have the same value.
The meter matters as much as the currency.
Gaze measures the third kind โ verified watch time, specific to a creator, weighted by how committed you are to them.
That's the denomination that means something.
Goldman Sachs projects the creator economy at $500B by 2027.
Most of that value flows through platforms. Ad splits. Algorithm dependencies. Middlemen.
Gaze changes the structure.
A creator with 10,000 people who watch every video is worth more than a creator with 1,000,000 who scroll past.
Platforms don't see this. They count impressions.
Gaze sees it.
Verified watch time โ someone who stayed for 40 minutes, not just clicked โ is a different signal than a view count. The leaderboard is built from it. Creator rewards are determined by it.
Depth is the signal. The protocol is built to measure it.
Creators in 2026 are told to choose.
Build on a platform: you get algorithmic reach, but the platform owns the relationship.
Build your own audience: you own it, but you lose the distribution.
That's a real tension. But it's a tension created by the architecture, not by some law of nature.
A protocol that wraps around platforms โ not replacing them, not competing with them โ means you don't have to choose.
The algorithm still works. The watch time still accrues.
The economics just don't belong to the platform anymore.
When a creator launches their token on Gaze, the bonding curve starts at the floor price.
Everyone can see it. The math is on-chain.
The first person to buy pays the lowest price that token will ever have.
What does it mean to you that a creator's value has a starting point โ a floor โ that's public, deterministic, and not set by a platform?
The attention economy is fragmented by design.
Platforms keep your data in their silo.
Gaze is built on the opposite premise:
your attention is unified, regardless of where it happened.
The signal belongs to you.
The protocol just makes it visible.
https://t.co/u7ipJctdsN
For the watcher, this means something too.
You don't have to concentrate your watching on one platform to contribute to a creator's score.
You watch where you watch.
The protocol follows.
One Chrome extension. One wallet.
Nine platforms, one leaderboard contribution.