Download this Paper Open PDF in Browser

Reed v. Town of Gilbert: Relax, Everybody

55 Pages Posted: 26 Mar 2016 Last revised: 7 Sep 2016

Enrique Armijo

Elon University School of Law

Date Written: March 31, 2016


In Reed v. Town of Gilbert, the Supreme Court held that a law is content based if it draws distinctions on its face based on the message an affected speaker conveys. Reed rejected previous lower court interpretations of the Court’s content discrimination doctrine, which had consistently held that a content-based law was not subject to strict scrutiny if its reference to content was not based on government disapproval of that content.

Reed has set off a firestorm. The Justices who concurred in the judgment warned that the case’s rule would cast doubt on a range of government action historically considered to not implicate the First Amendment, from securities regulation to product labeling. Commentators have called Reed everything from a “groundbreaker” to a “redefinition” of content discrimination doctrine that will have “profound consequences.”

The message of this Article is that Reed’s critics should, in a word, relax. Close review of those areas in which Reed’s critics claim the case will cause the most harm demonstrates that other parts of First Amendment doctrine, all of which survive Reed, will limit the case’s reach. The case also clarified several murky areas of First Amendment doctrine. And the focus on Reed obscures a far more important issue: the fallacy of continuing to use a categorical approach to First Amendment cases that turns entirely on whether or not a given law refers to content and ignores a law’s actual effect on speech.

Keywords: Constitutional Law, First Amendment

Suggested Citation

Armijo, Enrique, Reed v. Town of Gilbert: Relax, Everybody (March 31, 2016). Boston College Law Review, Vol. 58, No. 1, 2017 Forthcoming. Available at SSRN: or

Enrique Armijo (Contact Author)

Elon University School of Law ( email )

201 N. Greene Street
Greensboro, NC 27401
United States
3362799327 (Phone)

Paper statistics

Abstract Views