AI/ML Model Development for Trademark Search Strategy Evaluation

The contract seeks the development of artificial intelligence and machine learning models to assess and optimize trademark search strategies, with a focus on improving keyword selection and prior art identification through natural language processing and semantic analysis techniques. The project aims to enhance the accuracy and efficiency of trademark evaluations by leveraging advanced computational methods to interpret textual data, identify relevant legal precedents, and detect potential conflicts in trademark databases. The work must be conducted to support the United States Patent and Trademark Office under the Department of Commerce, with performance location set in Alexandria, Virginia, 22314. This is a subcontract opportunity issued under NAICS code 541715, which categorizes it within research and development in the physical, engineering, and life sciences. The solicitation was posted on April 29, 2026, with a deadline for responses set for May 8, 2026, at 4:00 PM Eastern Time. While no set aside status or organization type is specified, interested parties must be prepared to deliver scalable, validated ML models capable of integrating into existing trademark review workflows. All deliverables must align with the operational goals of the USPTO to improve trademark search reliability and reduce administrative burden through automated, data-driven insights.