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Intentional Low Bid Is Not A False Claim

Client Alert | 1 min read | 02.26.04

In U.S. ex rel. Bettis v. Odebrecht Contractors of Cal. (Jan. 28, 2004), the D.C. federal district court granted summary judgment in the contractor's favor, rejecting numerous False Claims Act allegations, including, most notably, the relator’s theory that the contractor had fraudulently induced the government to enter into a construction contract by intentionally underbidding for the project, while allegedly planning to submit false changes claims during performance. While expressly recognizing that false estimates could be the basis of an actionable false claim, the court ruled that the mere knowing submission of an unreasonably low bid (at least in the absence of any subsequent illegitimate request for adjustment) did not, by itself, cause the government to pay out funds to which the contractor was not entitled.

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Client Alert | 5 min read | 08.21.26

FTC Proposes Enforcement Policy Statement on Personalized Pricing: What Businesses Need to Know

On August 19, 2026, the Federal Trade Commission (FTC) announced a proposed Enforcement Policy Statement on personalized pricing — the practice of companies using consumers’ personal data to set individualized prices, discounts, coupons, or other incentives. The proposed statement, which is open for public comment for 30 days following publication in the Federal Register, marks a major step up in the FTC’s focus on data-driven pricing strategies and puts businesses across industries on notice that undisclosed or inadequately disclosed personalized pricing will not be tolerated. Importantly, while the proposed statement is not a binding legal requirement and does not create new legal obligations, it serves as an enforcement warning that the FTC is prepared to use its existing enforcement authority under Section 5 of the FTC Act (Section 5) and is also a potential harbinger of rulemaking. Businesses that engage in — or are considering — personalized pricing should carefully assess their disclosure practices and data collection procedures against the standards articulated in this statement....

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