AI-Driven Search Across Evidence, Transcripts, and Objects
Search transcripts, metadata, and detected objects using natural language, semantic understanding, and smart filters powered by retrieval-augmented generation (RAG).
Natural Language Retrieval
Ask questions or enter search phrases in natural language to retrieve relevant evidence without relying on exact keywords or rigid syntax.
Transcript and Metadata
Search across speech-to-text transcripts and associated metadata to locate evidence based on spoken content and contextual information.
Detected Object Retrieval
Find evidence based on objects identified within media, helping users discover files that visually match investigative needs.
Smart Result Filters
Use intelligent filters to narrow results by evidence attributes, helping reduce noise and focus on what matters most.
Understand Search Intent Beyond Keywords
The system interprets the meaning behind a user’s query rather than relying only on exact keyword matches. This allows relevant evidence to be retrieved even when the wording in transcripts or metadata differs from the phrasing used in the query.
Combine Multiple Evidence Signals for Better Retrieval
Retrieval considers multiple indexed signals together, including transcript content, metadata, and detected objects within media. Using these signals in combination helps surface results that are more relevant than relying on a single data source, especially in large or complex evidence collections.
Use RAG to Improve Search Accuracy and Context
Retrieval-augmented generation (RAG) is used to retrieve relevant evidence based on indexed content before presenting results. This approach helps maintain contextual accuracy by grounding retrieval in actual evidence data, without altering or interpreting the evidence itself.
Reduce Time Spent Manually Reviewing Evidence
More relevant retrieval results mean users spend less time opening, scanning, or dismissing unrelated files. By narrowing results earlier in the process, investigators and analysts can focus their effort on reviewing evidence that is more likely to be pertinent.
Support Scalable Evidence Discovery as Volumes Grow
As evidence collections expand, manual review and basic keyword search become less effective. AI-powered retrieval helps maintain consistent discovery performance across growing volumes of transcripts, metadata, and detected objects, supporting long-term scalability.
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.
