[officehours 49] From Police Reports to Digital Evidence: How AI Is Changing Law Enforcement

​Police reports are the foundation of an arrest, prosecution, civil claim, or administrative review, but the way they are created has changed dramatically. What once depended on handwritten notes, memory, manual entry, and hours of after-shift documentation now sits alongside CAD and records management platforms, body-worn camera footage, digital evidence, automated transcription, machine learning, and generative AI.

​In this IntelCraft Office Hours conversation, Lili Kazemi is joined by Chris Ryan, Chief Product Officer at PoliceReports.ai and a former law enforcement command staff member, to explore how technology has changed police reporting, investigations, and the daily work of officers. Chris will share what led a team of former officers to build PoliceReports.ai, where AI can create meaningful efficiencies, and why the officer must still review and own the final report.

​The discussion will build on Anant’s “When AI Becomes Evidence, Who Is Culpable?,” which featured Chris’s perspective on AI interaction logs, evidence integrity, and chain of custody. Lili and Chris will explore what makes AI-generated and AI-transformed records different from ordinary digital evidence, how agencies can think about governance and security without losing sight of operations, and what local law enforcement can do when people report identity theft, data theft, account compromise, or other cyber-enabled harm.

​They will be candid about what is working, what agencies are still learning, and what law enforcement leaders, vendors, lawyers, and policymakers should be thinking about next. This is an informal knowledge-sharing session, not a formal webinar, so expect an open conversation rather than a scripted presentation.

​ABOUT THE SPEAKERS

​Chris Ryan is Chief Product Officer at PoliceReports.ai and a former law enforcement command staff member with nearly fifteen years of experience across training, tactical operations, undercover operations, leadership, and management. He now works across product development, strategy, sales, and innovation, bringing operational law enforcement experience to the design and deployment of public-safety AI.

​Lili Kazemi is Acting General Counsel and AI Policy Leader at Anant, where she advises on AI governance, legal risk, policy, compliance, and responsible deployment. She is the author of “When AI Becomes Evidence, Who Is Culpable?,” an Anant AI Governance Brief examining how AI interactions can become evidence and how responsibility can travel across users, platforms, organizations, and human reviewers.

​FEATURED RESOURCES

​PoliceReports.ai

​When AI Becomes Evidence, Who Is Culpable?

​Addressing AI in Policing: Recent Concerns and Media Coverage

​Optional background resource: Tooele County Sheriff’s Office Case Study