Leveraging AI/ML for Optimizing JAG Data, Decision Making, and Military Justice Outcomes

Description

The technology within this topic is restricted under the International Traffic in Arms Regulation (ITAR), 22 CFR Parts 120-130, which controls the export and import of defense-related material and services, including export of sensitive technical data, or the Export Administration Regulation (EAR), 15 CFR Parts 730-774, which controls dual use items. Offerors must disclose any proposed use of foreign nationals (FNs), their country(ies) of origin, the type of visa or work permit possessed, and the statement of work (SOW) tasks intended for accomplishment by the FN(s) in accordance with section 3.5 of the Announcement. Offerors are advised foreign nationals proposed to perform on this topic may be restricted due to the technical data under US Export Control Laws. This SBIR Phase I initiative aims to explore and validate AI/ML solutions specifically for enhancing the data management, decision-making, and judicial outcomes within the Air Force District of Washington Judge Advocate (AFDW JA). The primary objective is to prototype advanced AI/ML techniques that can address the unique challenges associated with JAG data lifecycle and operational demands. This includes: Optimizing JAG Data Management: Employing AI/ML for automated document classification, metadata extraction, and intelligent eDiscovery to streamline evidence review processes.Enhancing Decision-Making: Utilizing predictive analytics for case forecasting, resource allocation, and bias detection to ensure equitable and efficient legal rulings.Improving Military Justice Outcomes: Implementing generative AI for rapid advisory responses, anomaly detection in compliance pipelines, and reinforcement learning for workflow improvements. The aim is to develop capabilities that bolster data integrity, mitigate risks in critical areas such as military justice proceedings, and support the AFDW JA's mission to provide timely, accurate legal counsel. These efforts will align with Department of War ethical AI principles, ensuring secure data handling on IL5-compliant platforms, and adhere to the guidelines set forth in Air Force Doctrine Note 25-1 for responsible AI integration.