A US company that provides automated jury selection services has been accused of using algorithms that produce biased results in juror selection. 

Momus Analyics uses big data and machine learning to help attorneys identify and rank the best and worst potential jurors for their cases, and claimed its software did not use race, sex, religion, or country of origin as factors in determining juror ratings. 

However, an application for a patent revealed that Momus Analytics' algorithm considered race, education level, and political affiliation to determine a juror's "leadership qualities" and biases toward personal or social responsibility.