Digital Evidence Management System

Digital Evidence Management System that include:
• Identify available Digital Evidence Management Systems (DEMS) capable of supporting the secure collection, storage, management, retrieval, retention, sharing, archiving, export, and authorized disposition of digital evidence.
• Evaluate modern technologies and industry capabilities, including cloud-based, onpremises, and hybrid solutions, that can improve use, operational efficiency, mobile access, and administrative effectiveness.
• Understand current industry standards and best practices related to evidentiary integrity, chain of custody, audit functions, access controls, records retention, cybersecurity, privacy, and data governance.
• Assess interoperability and integration capabilities with existing and future State and local systems, identity-management environments, mobile devices, cameras, investigative or case-management systems, learning or enterprise platforms where
applicable, and other technologies used to collect or manage digital evidence.
• Identify capabilities for metadata management, search and retrieval, case or incident association, dashboards, analytics, reporting, and authorized access to historical data.
• Evaluate opportunities for responsible automation and artificial intelligence capabilities that may improve search, classification, transcription, redaction, review, workflow, analytics, or other administrative functions while maintaining appropriate human oversight, security, audit functions, and evidentiary controls.
• Understand scalability and long-term data-management requirements, including increasing evidence volumes, retention requirements, archival storage, backup, disaster recovery, business continuity, and technology lifecycle considerations.
• Identify implementation requirements and potential challenges, including data migration, integration, bandwidth, cybersecurity, user adoption, training, configuration, validation, internal staffing, maintenance, and vendor support.
• Obtain information regarding available pricing and licensing models and the primary factors affecting initial implementation and ongoing total cost of ownership.
• Identify limitations, risks, dependencies, vendor lock-in concerns, and exit-strategy considerations that should be evaluated before development of final specifications or a future procurement.
• Potential challenges related to system development or customization.