AI Use Cases in Department of Justice

Introduction

The Department of Justice is increasingly adopting AI-driven solutions to enhance its operational capabilities, improve efficiency, and ensure the accurate handling of critical information. From analyzing drug samples for origin determination to prioritizing actionable tips in real-time, the department is leveraging AI to support its mission in law enforcement and legal proceedings. These use cases demonstrate the practical application of AI in areas such as drug enforcement, threat assessment, records management, and privileged material identification, showcasing the department’s commitment to integrating advanced technology for better decision-making and resource management.

Use Cases

  • 1. Drug Signature Program Algorithms

    The Drug Enforcement Administration’s (DEA’s) Special Testing and Research Laboratory uses AI/ML techniques and a robust statistical methodology to classify the geographical origin of heroin and cocaine samples. The system includes multi-variate statistical analysis tools and can detect anomalies and low-confidence results, enhancing the accuracy of drug origin classification.

  • 2. Complaint Lead (or Tips) Value Probability

    The Threat Intake Processing System (TIPS) uses AI algorithms to identify, prioritize, and process actionable tips quickly. The AI helps triage immediate threats, allowing FBI field offices and law enforcement to respond to the most serious threats first. Tips are prioritized based on algorithm scores, with the highest priority tips reviewed first by humans.

  • 3. Intelligent Records Consolidation Tool

    The Office of Records Management Policy uses an AI and NLP tool to assess the similarity of records schedules, clustering similar items to reduce manual review time. An AI-powered dashboard offers recommendations for schedule consolidation and review, allowing the Records Manager to review by cluster or individual record. This approach can be applied to other domains requiring text similarity analysis.

  • 4. Privileged Material Identification

    This application scans documents to identify attorney/client privileged information using keywords input by the system operator. It helps ensure that privileged information is correctly identified and handled.

Conclusion

The use cases provided illustrate the transformative impact of AI within the Department of Justice, significantly improving the accuracy, efficiency, and reliability of its operations. By implementing AI in areas such as drug origin classification, threat prioritization, records consolidation, and privileged information identification, the department is enhancing its ability to respond swiftly and accurately to critical issues. These advancements not only streamline processes but also ensure that they can more effectively uphold justice and protect the public. The continued integration of AI in these domains is essential for maintaining the department's operational excellence and its ability to adapt to evolving challenges in law enforcement and legal proceedings.

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