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# 40+ Hours Saved Over Hundreds of Applications

85% of recruiting needs covered  
40+ hours of work saved per role  
70% reduction in time spent reviewing each resume

SquarePeg saved us 40+ hours on one hiring process alone. I went from 5 minutes per resume to 1.5 minutes, and our non-technical staff can now screen technical candidates.

–

Tara Pramme  
Head of People

Laurel is an AI-powered platform that automates timekeeping and billing for professional services companies. Their mission is to return time to their users through AI-powered automation, with approximately 7,000 AI models in production.

### Overview

Laurel.ai, a Series B AI startup on the verge of Series C funding, adopted SquarePeg in November 2024 to enhance their lean recruiting function. The company, which provides AI-powered time tracking for legal and accounting firms, was facing significant challenges reviewing hundreds of resumes for specialized technical roles. With SquarePeg's AI resume screening tool, Laurel.ai dramatically reduced their review time and has already hired two candidates through the platform.

> "We were able to identify qualified candidates immediately and skip a lot of the review process to bring them in for the first or the next round screening."

### The Challenge

As a growing startup with approximately 7,000 AI models in production, [Laurel.ai](http://laurel.ai/) operated with a "team of one" recruiting function led by Tara, the Head of People. Without dedicated recruiting staff, hiring responsibilities fell heavily on technical leaders like Jim, who leads the engineering and AI teams.

**"We started looking at tools last fall that could boost our team of one recruiting function,"** says Tara. **"A lot of the responsibilities from a recruiting perspective fall on our hiring managers and our leaders' shoulders."**

The company faced a particularly challenging scenario when managing a green card application process that required posting a remote-eligible position. This resulted in over 300 resumes to review, with each requiring detailed documentation and thorough evaluation.

**"It is an extremely labor-intensive process. Anything, especially present day, that is remote eligible is a floodgate type application where we get hundreds of resumes,"** Tara explained.

Before SquarePeg, Jim manually reviewed each resume, spending approximately 5 minutes per candidate, including writing rejection summaries for those who didn't meet requirements. For technical roles requiring specialized skills like building Siamese network embeddings, this process was especially time-consuming.

> "SquarePeg allowed us to do more with less without needing a full recruiting team with sourcers and coordinators,” she said. “It will remain a core part of our recruiting strategy as we scale."

### The Solution

SquarePeg's AI-powered candidate screening tool transformed [Laurel.ai](http://laurel.ai/)'s resume review process by providing accurate, transparent scoring that enabled them to quickly identify qualified candidates.

The platform allowed Tara to assist with technical resume reviews despite lacking domain expertise, effectively doubling their review capacity. SquarePeg's scoring system reduced Tara's review time to just 1 minute per straightforward candidate.

**"SquarePeg enabled Tara to help with resume reviews despite lacking technical domain knowledge, effectively doubling our review speed,"** notes Jim.

As an AI company themselves, [Laurel.ai](http://laurel.ai/) particularly appreciated the transparency of SquarePeg's scoring system. While Jim focused more on correlations between scores and candidates passing technical screens, Tara initially had "trust issues" and validated the system by reviewing 10-15 candidates with Jim to confirm accuracy.

**"I appreciated seeing how candidates with missing requirements, like no master's degree, scored in the 50th percentile or lower,"** Tara said.

> “People want to know how an AI company is using AI across its business,” said Pramme. “Using SquarePeg gives us a lot of credibility. We can give specific examples of how it saved us time with screening"

### The Outcome

SquarePeg delivered substantial time savings for [Laurel.ai](http://laurel.ai/), with Tara calculating at least 40 hours saved between her and Jim for a single role. The platform identified 4-5 strong matches on the first day of implementation, allowing immediate outreach to qualified candidates.

By enabling parallel candidate reviews between technical and non-technical team members, SquarePeg potentially saved weeks in [Laurel.ai](http://laurel.ai/)'s hiring process. This acceleration is especially valuable for a fast-growing company approaching Series C funding.

**"SquarePeg helped** [**Laurel.ai**](http://laurel.ai/) **identify qualified candidates faster, potentially saving weeks in our hiring process,"** says Jim.

The company plans to continue using SquarePeg as a core component of their recruiting strategy as they scale, with Tara estimating it currently covers approximately 85% of their recruiting needs. They are even hiring a dedicated recruiter who will use SquarePeg as their primary tool.

**"Using AI recruiting tools enhanced** [**Laurel.ai**](http://laurel.ai/) **'s credibility as an AI company when discussing our internal AI applications,"** Jim adds, highlighting an unexpected benefit of their partnership with SquarePeg.