Using AI to Find the Best Legal Hire and Increase Diversity (Suited)

Technically Legal - A Legal Technology and Innovation Podcast

Using artificial intelligence to help make hiring decisions is the topic du jour of Episode 49. Matt Spencer and Aaron Meyers, the CEO and CTO of Suited, respectively, explain how their AI powered, assessment-driven recruiting platform helps law firms and corporate legal departments find the best candidate for legal jobs and also increase diversity hires.

After a career in investment banking, Matt and his co-founders launched Suited to address the major difficulties in finding the right job candidate: limited time, limited budgets and limited information.

Suited trains its AI with assessments taken both by hiring parties and candidates to identify potential hires who have the best chance at thriving in a particular firm or company work environment.

Suited’s assessments collect three categories of information: psychometrics, skills and academics. Once candidates take the assessment, the app ranks them for a particular firm to predict whether the candidate will work well in that environment.

To better identify the right legal job candidates and create a more diverse hiring pool, Suited’s engineers worked hard to develop software that mitigates bias in the hiring process. To do that Suited’s A.I. models models exceed the standards for fairness set forth by the EEOC.

Technically Legal is hosted by Chad Main, an attorney and the founder of Percipient, a tech-enabled alternative legal services provider.