Size Matters: Past Performance Rating Not Supported by Small Task Orders
Client Alert | 1 min read | 05.13.15
In sustaining the contractor's protest filed by C&M against the Air Force's $110 million award for F-15 support services, GAO held that the agency erred by (1) giving the awardee the highest past performance rating for prior delivery orders worth "only approximately 0.14 percent of the estimated value of the effort required by the RFP" and (2) failing to document how the awardee's other "$5.36 billion portfolio" bore any relevance to the services being solicited. In rejecting the agency's reliance upon tiny delivery orders and post hoc litigation arguments, GAO relied heavily upon its 2009 precedent in Health Net Fed. Services, LLC (also a C&M case), in which the agency attempted to defend its past performance evaluation based upon the awardee's general industry experience without any discussion of how that performance related to the services specified under the RFP.
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Client Alert | 9 min read | 10.21.26
The life sciences sector is uniquely vulnerable to the inherent risks of AI-generated evidence in drug development and discovery. This client alert focuses on five core challenges: hallucinations, skewed predictions from unrepresentative training data, the opacity of AI reasoning, input sensitivity that undermines reproducibility, and adversarial manipulation of training data. To address these risks, companies should use experimental validation and human oversight as the common legal and regulatory safety net. This entails among other measures auditing AI outputs, characterizing training data, and structural oversight. Companies also should prepare for evolving frameworks and guidance from the U.S. Food and Drug Administration (FDA) and the European Union (EU) that address use of AI in drug discovery and development .
Client Alert | 2 min read | 10.21.26
Client Alert | 3 min read | 10.21.26
Private Investigations Act Series: Temporal, material and territorial scope
Client Alert | 7 min read | 10.21.26

