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Board Upholds Measured-Mile Methodology to Calculate Disruption

Client Alert | 1 min read | 08.24.22

In Lockheed Martin Aeronautics Company, ASBCA No. 62209 (a C&M case), the Armed Services Board of Contract Appeals (“Board”) denied the Air Force’s motion for summary judgment, which had argued that the “measured mile” approach to calculating disruption was legally untenable.  In its decision, the Board noted that it has “accepted the measured mile approach as an appropriate method of determining impact to productivity” referencing extended discussion in King Aerospace, Inc., ASBCA No. 60933, 19- 1 BCA ¶ 37,316.  The Board also granted Lockheed Martin’s cross-motion for summary judgment on the issue of release, holding that the express language of modifications signed by the parties indicated that Lockheed Martin did not release any portion of its claim.  The recent decisions follow on the heels of two other Board decisions.  In April 2022, the Board granted Lockheed Martin’s cross-motion for summary judgment on the Air Force’s statute of limitations defense because Lockheed Martin’s claim did not accrue before the events that fixed the government’s liability occurred (discussed here).  In June 2021, in a case of first impression, the Board granted Lockheed Martin’s motion for summary judgment on the Air Force’s affirmative defense of laches, holding that laches is no longer applicable in CDA cases at the Board (discussed here).

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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....