Case Study: How Metro PD Reduced Evidence Backlog by 80%

When a major metropolitan police department approached Nightwave AI, they were facing a critical challenge: a growing backlog of digital evidence that was threatening to overwhelm their investigative capacity. With over 15,000 cases pending evidence review, detectives were waiting months for critical analysis that could make or break their investigations.

The department's digital forensics unit was processing evidence using traditional manual methods, with a team of 12 analysts handling an ever-growing volume of video footage, digital communications, and electronic documents. Despite working overtime, the backlog continued to grow by approximately 200 cases per month.

This delay had real consequences: suspects remained free while evidence sat unprocessed, victims waited longer for justice, and prosecutors faced challenges building timely cases. The department knew they needed a fundamentally different approach.

After a thorough evaluation process, the department selected Nightwave AI's investigative intelligence platform. The implementation was completed in phases over 90 days, with comprehensive training provided to all analysts and investigators.

The platform's AI capabilities automated the initial triage and categorization of digital evidence, allowing analysts to focus their expertise on the most complex and critical analysis tasks. Video footage that previously required hours of manual review could now be processed in minutes.

Within six months of deployment, the department had reduced their evidence backlog by 80%. Average evidence processing time dropped from 45 days to just 8 days, and the department was able to reallocate resources to other critical functions.

Most importantly, the faster evidence processing led to a 34% increase in case clearance rates, meaning more crimes were being solved and more victims were receiving justice. The department has since expanded their use of the platform across additional units.