Dr. Rachel Okonkwo
Director of Forensic Technology, FrameCounsel
Body camera footage is now central to most criminal defense cases, yet many attorneys still review it manually -- missing critical details that could change outcomes. This webinar walks through a systematic, AI-assisted approach to body camera analysis that surfaces contradictions, timeline gaps, and exculpatory moments that manual review overlooks.
You will learn how to ingest footage from major BWC platforms (Axon, Motorola, Getac), run automated transcription and speaker diarization, and cross-reference officer narratives against what the video actually shows. We cover real-world examples where FrameCounsel's contradiction detection flagged discrepancies between police reports and recorded events.
Whether you handle five cases or five hundred, this workflow scales. By the end of this session, you will have a repeatable process for turning raw body camera footage into actionable defense evidence.
Dr. Rachel Okonkwo
Director of Forensic Technology, FrameCounsel
Dr. Rachel Okonkwo leads forensic technology development at FrameCounsel. With a PhD in Computer Vision from MIT and ten years of experience in digital forensics, she has served as an expert witness in over 80 criminal cases involving video evidence analysis. Her research on automated contradiction detection has been published in the Journal of Forensic Sciences and Digital Investigation.
Criminal defense attorneys, public defenders, paralegals, and investigators who regularly work with body camera footage.
Schedule a personalized demo with our team to see how FrameCounsel can transform your defense practice with AI-powered video analysis.
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