Law Commons^™

Auctioning Class Settlements, Jay Tidmarsh

Jay Tidmarsh

Although they promise better deterrence at a lower cost, class actions are infected with problems that can keep them from delivering on this promise. One of these problems occurs when the agents for the class (the class representative and class counsel) advance their own interests at the expense of the class. Controlling agency cost, which often manifests itself at the time of settlement, has been the impetus behind a number of class-action reform proposals. This Article develops a proposal that, in conjunction with reforms in fee structure and opt-out rights, controls agency costs at the time of settlement. The idea …

Cy Pres And The Optimal Class Action, Jay Tidmarsh

Jay Tidmarsh

Prepared for a symposium on class actions, this Article examines the problem of cy pres relief in class actions through the lens of optimal claim structure and class membership. It finds that the present cy pres doctrine does little to advance the creation of optimal class actions, and that it may do some harm to achieving that goal. The Article then proposes an alternative “nudge” to induce putative class counsel to structure class actions in an optimal way: setting attorneys’ fees so that counsel is compensated through a combination of an hourly market rate and a percentage of the net …

Resurrecting Trial By Statistics, Jay Tidmarsh

Jay Tidmarsh

“Trial by statistics” was one means by which a court could resolve a large number of aggregated claims: a court could try a random sample of claim, and extrapolate the average result to the remainder. In Wal-Mart, Inc. v. Dukes, the Supreme Court seemingly ended the practice at the federal level, thus removing from judges a tool that made mass aggregation more feasible.

After examining the benefits and drawbacks of trial by statistics, this Article suggests an alternative that harnesses many of the positive features of the technique while avoiding its major difficulties. The technique is the “presumptive judgment”: …