Accurate Historical Data Yields Negligent Estimate
Client Alert | 1 min read | 02.28.17
In Agility Def. & Gov’t Servs., Inc. v. United States (Feb. 6, 2017), the Court of Appeals for the Federal Circuit held that the government’s volume estimate in a requirements-contract solicitation cannot rely solely on historical workloads when the government expects conditions to change going forward. FAR 16.503 requires solicitations for requirements contracts to include a “realistic estimate of total quantity” based on “the most current information available.” Reversing a decision from the Court of Federal Claims, the CAFC revived the contractor’s negligent-estimate claim, holding that the government failed to comply with FAR 16.503 when its estimate relied on historical data rather than the agency’s actual expectation that changing conditions would create a surge in requirements above and beyond the historical workloads.
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Client Alert | 2 min read | 03.27.26
CMS Releases PY 2020 RADV Audit Methods and Instructions: Key Takeaways for Health Plans
On March 20, 2026, the Centers for Medicare and Medicaid Services (CMS) released new guidance outlining the agency’s audit methods and instructions for Medicare Advantage (MA) plans subject to upcoming risk adjustment data validation (RADV) audits for payment year (PY) 2020. In addition to providing necessary context for MA plans selected for auditing, this resource clarifies CMS’s methodological and procedural expectations. While the high-level takeaways are recapped below for convenience, we strongly recommend that MA organizations selected for PY 2020 audits closely review the guidance to understand what may be involved — or required — during the agency’s review.
Client Alert | 4 min read | 03.25.26
NAIC Intensifies AI Regulatory Focus: What Health Insurance Payors Need to Know
Client Alert | 11 min read | 03.25.26
White House National AI Policy Framework Calls for Preempting State Laws, Protecting Children
Client Alert | 3 min read | 03.24.26
California Considering A Massive Expansion of Its Antitrust Laws
