Surface Facial Attribute Predictions for Evidence Review
Apply AI-generated visual attribute predictions to detected faces in recorded video and image evidence to support structured review, filtering, and redaction workflows without determining or verifying individual identity.
Accelerated Evidence Navigation
Facial attribute predictions help reviewers organize and navigate large volumes of video and image evidence by grouping detected faces into visual categories. This reduces manual scanning effort while preserving reviewer judgment throughout the evidence review process.
Human-Controlled AI Assistance
Attribute predictions are provided strictly as assistive signals to support review and preparation tasks. All interpretation, validation, and decisions remain under explicit human control, ensuring AI outputs do not function as determinations or conclusions.
Scalable Redaction Consistency
Applying attribute-based criteria supports consistent and repeatable redaction decisions across large evidence sets, improving reliability during disclosure and sharing workflows.
Collect
Get evidence into your system. Upload files from any device or pull them in automatically from connected sources like bodycams or cloud storage.
Store
Keep all your evidence in one secure, central location. Organize it by case and control who can access it, with protection for sensitive information.
Review & Process
Work with your evidence. Use tools to search, analyze, annotate, and redact videos and documents right within the platform with your team.
Share & Preserve
Close the loop. Share finalized evidence securely with prosecutors or other agencies or archive it to meet long-term legal requirements.
