How micro1's AI Interviewer helped Legal Soft improve EBITDA margins by 30%
Highlights
.svg){kind=icon}
10,000 candidates screened on autopilot every month
.svg){kind=icon}
Reduced interviewing staff from 33 to 12
.svg){kind=icon}
$400,000+ per year saved on recruitment costs
.svg){kind=icon}
30% improvement on EBITDA margins
The Challenges
Legal Soft, the largest global staffing agency for law firms, faced a mountain of over 10,000 inbound applications each month, which resulted in a significant bandwidth issue related to mass interviewing. A significant challenge in their recruitment process was the high drop-off rate of candidates who appeared qualified on paper but lacked adequate English-speaking skills. This resulted in wasted time screening resumes and conducting far too many interviews with unqualified candidates. As a result, their bottom line took a hit and highlighted the need for automation in their recruitment process
.webp)
Nathan Sumekh
- Aug 24
.webp)
COO at Legal Soft
With micro1, we reduced our interview staff from 33 to 12 while still conducting 10,000 interviews each month. Now, the team is focused on higher-impact work. Huge kudos to you guys, first really useful Al applications i've come across.
The Results
Legal Soft implemented the micro1 AI Interviewer into their candidate screening process to address these challenges. By utilizing AI to assess candidates' U.S. legal knowledge, English-speaking abilities, and other soft skills, they eliminated the need to manually screen every application. This automation allowed them to reduce their recruitment team from 33 to 12, enabling the remaining team members to concentrate on higher-value tasks rather than interviewing unqualified candidates. As a result, Legal Soft saved $400,000 annually in recruitment costs and improved their EBITDA margins by 30%.
.svg)
.svg)