Hiring doesn't break when you're drowning in candidates. It breaks long before that.
Even a small spike in volume creates friction: more PDFs, more tabs, more cognitive load.
And when resumes run 10 to 15 pages, the real job becomes loading information into your brain only to reject most of it.
What Laine were doing
Laine, the AI-driven legal drafting platform, knew this well. Their team had manually reviewed every resume, treating each one as the only source of truth. They pride themselves on giving all candidates the attention they deserve — but with no help, the job is overwhelming. Hours spent searching and filtering through candidates who mostly wouldn't make it.
What changed
Vouch's contextual scoping and screening gave Laine something they'd never had: a clear, ordered view of their entire funnel. The system reads every application, understands what the role actually needs, and surfaces the candidates who match. It even filters in candidates they might have missed before. No more long-tail guesswork or PDF archaeology.
A CTO's test
Kwinten van de Broeck, CTO at Laine, felt the difference immediately.
"I used to look at each resume, sometimes 15 pages, and my brain had to load all of that. And 99 percent were rejected anyway. With Vouch, I still review them all, but I can spend far more time on the candidates who actually fit the role. It's a completely different level of focus.
"
He didn't trust it blindly. He tested it.
"I tested the lower-priority group — hundreds of them — trying to find even a single strong candidate. I couldn't. The hit rate for good candidates that Vouch surfaced was easily above 80 percent.
"
The result
Laine screens faster now. They see the right people first. They've expanded their applicant pool without drowning in it.
They're not stuck tracking applicants anymore. They're hiring. Many.