Dr. Ravi Shroff has co-authored Bayesian sensitivity analysis for offline policy evaluation (AIES, 2020). This paper presents a flexible Bayesian approach to gauge the sensitivity of predicted policy outcomes to unmeasured confounders. The efficacy of this approach is demonstrated on a large dataset of judicial actions, in which one must decide whether defendants awaiting trial should be required to pay bail or can be released without payment.