Leveraging AI/ML Service

The Air Force District of Washington Judge Advocate is seeking a vendor to explore, validate, and implement artificial intelligence and machine learning solutions to enhance data management, decision-making, and judicial outcomes. The agency needs to automate the intake and processing of judicial and legal case data through natural language processing, automated document classification, metadata extraction, and intelligent eDiscovery to streamline evidence review. Additionally, the project requires implementing generative AI for rapid advisory responses, anomaly detection in compliance pipelines, and reinforcement learning for workflow improvements. For interagency civil support, the agency requires generative AI for rapid query responses, reinforcement learning to optimize workflow efficiencies, and advanced data visualization tools to facilitate stakeholder briefings. The selected vendor must refine and expand the artificial intelligence and machine learning models based on Phase I results, conduct extensive testing in operational environments, and finalize the integration with existing agency systems. Eligible bidders must be onshore United States organizations. The agency permits the performance of the work to occur offsite. The agency is currently looking for proposals to determine the budget, and the source document does not specify further evaluation criteria or key dates.