Exploring New Approaches to Unsettled Legal Questions

Tag: 2024-2025

A Tool for Judicial Traffic Control: The Pragmatic Case for Why Heck Dismissals Ought Not Always Count as PLRA Strikes

by Austin Upshaw *

Since Congress passed the Prison Litigation Reform Act (PLRA) in 1996, courts have struggled to harmonize one of its key provisions—the ‘three-strikes rule’—with the Heck bar, a rule derived from Heck v. Humphrey, which prevents district courts from reaching the merits of Section 1983 claims that attack the validity of a conviction before that conviction has been overturned on appeal or through collateral proceedings. The PLRA’s three-strikes rule provides that if an incarcerated person has had three or more of their suits dismissed for failing to state a claim, they can no longer proceed in forma pauperis. Denial of in forma pauperis effectively prevents indigent incarcerated people from accessing relief in federal court. The crux of the Heck issue is a procedural one: is every Heck dismissal equivalent to a dismissal for failure to state a claim under Federal Rule of Civil Procedure 12(b)(6)? The current circuit split mainly concerns whether Heck created a pleading requirement Section 1983 plaintiffs must plead and prove, or whether it is a waivable affirmative defense. But that focus is misplaced because a Heck-barred complaint can be properly dismissed under 12(b)(6) regardless of whether it is a pleading requirement or an affirmative defense. The better way to resolve the issue is on pragmatic, policy-driven grounds. The Heck bar is best treated as a ripeness doctrine that district courts can bypass at their sound discretion. If Heck is treated as a tool for judicial traffic control, rather than a rigid jurisdictional bar, district courts can ensure meritorious claims are not wrongfully treated as ‘strikes’ under the PLRA.

The Free Exercise Clause and School Funding: Why a State’s Exclusion of Jewish Orthodox Schools from Funding Does Not Violate the First Amendment

by Edward Stein*

Recent disputes over government’s exclusion of religious private schools from public funding shine new light on the Free Exercise Clause of the First Amendment, which commands that the government “shall make no law . . . prohibiting the free exercise” of religion. The Individuals with Disabilities Education Act (“IDEA”) offers states federal funds to assist in educating children with disabilities. The question remains whether a state government’s exclusion of Jewish Orthodox schools from IDEA funding triggers strict scrutiny under the Free Exercise Clause. This Contribution argues that exclusion of Jewish Orthodox schools from IDEA funding does not impose a sufficiently substantial burden on the religious exercise of Jewish Orthodox schools or their students’ families, and thus does not trigger strict scrutiny. First, this Contribution situates this issue by explaining the difference between direct and indirect burdens. Second, it distinguishes Jewish Orthodox parents from prior free exercise claimants to show that they do not face a substantial burden. Finally, it contends that Jewish Orthodox schools are also not subject to a substantial burden because they face a permissible use-based exclusion.

Filtering Out the Noise: Does the APA Prevent Use of AI/ML tools in Agency Review of Public Comment?

by Emmett Tabor*

At times, administrative agencies encounter an overwhelming volume of public comments during the rulemaking process. The review of these comments, as mandated by the Administrative Procedure Act (APA), can delay the implementation of regulations and place a significant burden on resource-scarce agencies. The integration of Artificial Intelligence (AI) and Machine Learning (ML) tools into the comment review process offers a promising solution to expedite notice-and-comment rulemaking. At the same time, the use of these “black box” solutions may trigger legal challenges for potentially violating the procedural requirements of the APA. This Contribution explores three anticipated legal considerations for agency use of AI/ML tools in the review of public comment: (1) disclosure requirements under APA section 553(b); (2) obligations to “consider” public comments under APA section 553(c); and (3) the rule of prejudicial error under APA section 706. Despite these concerns, this Contribution argues that incorporation of AI/ML tools into the agency comment review process is compatible with the APA.

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