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SCOTUS Relaxes Definition of "Confidential" Commercial Information Exempt from FOIA

Client Alert | 1 min read | 06.25.19

The Supreme Court yesterday made it easier for the Federal Government to withhold from the public certain records that businesses want kept private. Under the Freedom of Information Act (FOIA), the Government ordinarily must make available information it receives from a private entity to members of the public who request it. But FOIA exempts from disclosure (among other things) any “commercial or financial” information that is “confidential.” For nearly half a century, following a 1974 decision by the D.C. Circuit in National Parks and Conservation Association v. Morton, courts held that information is “confidential” for purposes of that exemption only where its disclosure would result in “substantial competitive harm.” In yesterday’s decision in Food Marketing Institute v. Argus Leader Media, the Court rejected the National Parks test, noting that the plain language of FOIA makes no mention of “substantial competitive harm.” Instead, the Court held that information is “confidential” for purposes of this exemption so long as it is: (1) both customarily and actually treated as private by its owner, and (2) provided to the government under an assurance of privacy. That definition is substantially broader — and far easier to meet — than the one set out in National Parks.

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Client Alert | 3 min read | 08.03.26

New Jersey Takes Aim at Algorithmic and Surveillance Pricing: What Landlords and Retailers Need to Know About the FAIR Act and the Fair Price Protection Act

On July 20, 2026, New Jersey Governor Mikie Sherrill signed the Forbidding the Algorithmic Inflation of Rent (FAIR) Act into law, making New Jersey the fourth state to regulate algorithmic rent-setting practices. Three days later, on July 23, 2026, Governor Sherrill signed the Fair Price Protection Act, which targets “surveillance pricing”—the practice of using or collecting personal data about a user and using an algorithm or artificial intelligence to charge different consumers different prices for the same products. Together, these laws represent a significant expansion of New Jersey's consumer protection framework in the algorithmic pricing context....