AI has evolved rapidly, from helping investigators summarize reports and organize content to becoming a powerful tool for querying, correlating and understanding evidence across an entire case. But as AI capabilities advance, so do the questions:
When should investigators rely on AI?
What guardrails are necessary?
How do agencies ensure transparency, defensibility and trust in AI-generated insights?
What You’ll Learn:
1. How AI Has Evolved Beyond Summarization Understand the progression from organizing and summarizing evidence to querying, correlating, and analyzing data across an entire investigation.
2. Where AI Delivers Value and Where Human Expertise Matters Learn how investigators can leverage AI to accelerate reviews, identify patterns and generate insights while maintaining human oversight, transparency and investigative defensibility.
3. Why Connected Data Is the Foundation of Effective AI Discover how bringing evidence, intelligence, communications and case data together enables more accurate answers, richer context and faster investigative outcomes.
Who Should Attend:
Agency leaders evaluating responsible AI adoption strategies for investigative operations
Investigators seeking to reduce review time and uncover actionable leads faster
Crime and intelligence analysts responsible for identifying patterns, connections and investigative insights
Prosecutors and legal professionals who need transparent, defensible workflows and a clear understanding of how AI-generated insights are derived
Speakers
Lee Perlis Portfolio Lead, Investigative Analytics
Matt Goeckel Senior Technical Product Marketing Manager
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