A major U.S. law firm faced an overwhelming video review challenge. Tasked with analyzing 3,843 hours of surveillance footage across 148,530 video files, they needed to efficiently identify key moments while managing tight time and budget constraints. Traditional video review methods were impractical, requiring a solution that could prioritize relevant footage and optimize workflow efficiency.
The Challenge
When counsel is handed over a hundred thousand video files spanning thousands of hours, the instinct is to start from the beginning and work through the queue. But that approach collapses under its own weight—no budget can absorb sequential review at that scale, and no timeline can accommodate it. The firm needed to answer a fundamental question before a single clip was watched: which footage actually matters?
Without a way to filter by source, timestamp, or metadata, the team faced the prospect of reviewers spending weeks on footage that had no bearing on the case. The challenge was not just volume—it was the absence of any mechanism to distinguish signal from noise before review began.
The Solution
To address these challenges, the firm leveraged StreemView's video streaming capabilities, cost-effective hosting, and advanced thumbnail-based filtering, enabling a targeted, streamlined review process.
Key benefits of the StreemView-powered workflow included:
- Intelligent Categorization: The team leveraged StreemView's advanced filtering tools to isolate 102 critical video feeds based on source, timestamps, and metadata.
- Prioritized Review: High-priority footage linked to key camera feeds was rapidly identified, ensuring focus on the most relevant content.
- Accelerated Playback: StreemView's smooth streaming allowed playback at speeds up to 5x, dramatically reducing review time.
- Data Reduction: Unnecessary footage was filtered out, eliminating over 90% of non-relevant video, significantly cutting both time and costs.
By utilizing StreemView's powerful video review tools, the firm and its outside counsel were able to conduct a precise, efficient review of thousands of hours of footage.
The Results
The numbers tell the story:
- 3,843 hours across 148,530 video files managed efficiently
- 102 critical video feeds identified and prioritized
- Over 90% of non-relevant footage eliminated
- Significant cost and time savings, reducing unnecessary review
- Faster case preparation, ensuring a timely and cost-effective project completion
Why This Matters
This case study highlights StreemView's ability to transform large-scale video review into a highly efficient, targeted process. Through advanced filtering, prioritization, and accelerated playback, StreemView empowers legal teams to quickly analyze and extract critical insights, ensuring streamlined workflows and substantial cost savings.
Video evidence is no longer an edge case in litigation—it is increasingly central to investigations ranging from premises liability to securities fraud to regulatory enforcement. As surveillance systems grow more pervasive and storage costs drop, the volume of video produced in discovery will only increase. Workflows that treat video like any other document review queue will buckle. The only viable path is pre-review reduction: using metadata, thumbnails, and source-based filtering to eliminate irrelevance before a reviewer ever presses play.
See StreemView in Action
The best time to validate your modern data workflow is before a preservation notice lands.
Request a DemoMore Insights
While You Were Awai: eDiscovery Landscape Evolves
Introducing StreemView: Pioneering a Data-Centric Future in eDiscovery
Hiding Below the Surface: StreemView Uncovers 500% More Relevant Messages
Navigating the Challenges of Modern ESI: Why We Need a Scalpel, Not a Hammer
The Significant Cost of Going Direct to RSMF: $1.1MM Saved
Hidden Data in Slack Exports: The Enterprise Grid Workspace Problem
When Discord Becomes Discoverable: 9M+ Messages Reduced to Defensible Evidence
Slack Attachment URLs in Exports: Tokens, Access, and the Hidden Risk to eDiscovery
Microsoft Teams Discovery: Why Native Processing Is the Only Approach That Works
Tackling Costly Slack Data Surprises: 96% Reduction in One Week
Large and Complex Mobile Phone Investigation: 88% Review Volume Reduction