Justice information systems modernization, reimagined

Objectives driving justice systems modernization

• Operational efficiency: Streamlining workflows and data sharing across justice partners to meet time standards for case processing.
• Actionable intelligence: Rapidly connecting persons, cases and evidence data to provide actionable business intelligence.
• Data driven policy-making: Providing high-quality data for identification of disparities, transparency and data-informed policy decisions.
• Collaboration: Enabling justice agencies to work with public health, human services and education sectors to address contributing factors to justice outcomes.
• Improved security posture: Implementing robust security controls, data protection and automated patching mechanisms.

Challenges in justice systems modernization

• Disconnected landscape: The justice ecosystem includes 27 federal agencies, multiple state agencies and 3,000 counties, each with its own technology and operations, making data sharing, process automation and interagency collaboration difficult.
• Historical data management: Criminal justice systems must handle data spanning several generations, requiring the conversion or integration of decades-old records.
• High data complexity: Charges in a case can change multiple times, and court documents have complex structures. Investigators and attorneys must go through vast volumes of audio and video data, which can benefit from high-fidelity AI processing.
• Complex data separation requirements: Legal requirements mandate the separation of data between district attorneys and public defenders, juvenile and adult offender data and highly protected investigation data.
• Compliance: Systems must meet Federal Criminal Justice Information System (CJIS) security requirements and receive an Authority to Operate (ATO).