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Using AI to revolutionize legal recruiting

Whether it's bias, unproductive costs, or inconsistencies in the evaluation process, predictive hiring algorithms can meaningfully address the many recruiting challenges shared by virtually everyone in the legal industry.

Make better hiring decisions

AI-powered success models are the most accurate predictors of new-hire job performance. Tailored to your law firm, Thine's predictive models are up to 4x more reliable than traditional screening methods.
How effective are hiring techniques at predicting job performance?

3%

Phone screening

9%

Structured interview

19%

Skill test

36–70%

Success models

The science

By linking personality attributes to performance data and work histories, we design custom success models that ensure hiring is based on reliable metrics beyond GPA and law school ranking.

The personality assessment

Our 15-minute personality attributes survey captures 50 personality traits and motivators. Using machine learning, we score responses against each firm’s success model to determine which candidates are most likely to succeed.

Reducing bias

Most hiring decisions are still burdened with bias. We use rigorously controlled, data-driven AI models and test every single item, scale, and model we provide to ensure that it has no statistically significant adverse impact on any legally protected demographic group.

Get in touch with our team.

Interested in learning more? We'd love to hear from you!