Law Commons^™

The Expansive Reach Of Pretrial Detention, Paul Heaton

All Faculty Scholarship

Today we know much more about the effects of pretrial detention than we did even five years ago. Multiple empirical studies have emerged that shed new light on the far-reaching impacts of bail decisions made at the earliest stages of the criminal adjudication process. The takeaway from this new generation of studies is that pretrial detention has substantial downstream effects on both the operation of the criminal justice system and on defendants themselves, causally increasing the likelihood of a conviction, the severity of the sentence, and, in some jurisdictions, defendants’ likelihood of future contact with the criminal justice system. Detention …

The Federal Rules Of Inmate Appeals, Catherine T. Struve

All Faculty Scholarship

The Federal Rules of Appellate Procedure turn fifty in 2018. During the Rules’ half-century of existence, the number of federal appeals by self-represented, incarcerated litigants has grown dramatically. This article surveys ways in which the procedure for inmate appeals has evolved over the past 50 years, and examines the challenges of designing procedures with confined litigants in mind. In the initial decades under the Appellate Rules, the most visible developments concerning the procedure for inmate appeals arose from the interplay between court decisions and the federal rulemaking process. But, as court dockets swelled, the circuits also developed local case management …

Bias In, Bias Out, Sandra G. Mayson

All Faculty Scholarship

Police, prosecutors, judges, and other criminal justice actors increasingly use algorithmic risk assessment to estimate the likelihood that a person will commit future crime. As many scholars have noted, these algorithms tend to have disparate racial impacts. In response, critics advocate three strategies of resistance: (1) the exclusion of input factors that correlate closely with race; (2) adjustments to algorithmic design to equalize predictions across racial lines; and (3) rejection of algorithmic methods altogether.

This Article’s central claim is that these strategies are at best superficial and at worst counterproductive because the source of racial inequality in risk assessment lies …