Client Overview
The client, involved in a complex government fraud investigation, faced the challenge of analyzing an enormous dataset of mobile communications. Over one week, the team collected 12 mobile devices, leading to a dataset of 4.9 million messages across 500,000 conversations. With strict time and cost constraints, they needed a sophisticated solution to organize, deduplicate, and prioritize the data efficiently.
Challenge
The investigation required navigating fragmented messages across multiple platforms, including phone numbers, email addresses, WhatsApp usernames, and other chat application IDs. Identifying key players and filtering relevant communications was further complicated by data redundancy and the sheer volume of messages. The team needed an efficient, high-precision solution to:
- Consolidate messages from multiple devices and platforms.
- Normalize identities across different communication methods.
- Prioritize key conversations while reducing review costs.
Solution
Leveraging StreemView, the team executed an advanced data review and reduction strategy, dramatically streamlining the investigation. Key features included:
- Comprehensive Data Consolidation: All 4.9 million messages were centralized in StreemView, creating an organized and accessible review environment.
- Intelligent De-Duplication: Modern de-duplication algorithms removed redundancies across devices, significantly reducing the dataset and improving efficiency.
- Keyword Filtering: Targeted keyword searches helped focus the review on relevant conversations.
- Profile Normalization: Multiple identities across phone numbers, emails, and chat apps were consolidated, simplifying the identification of 23 key individuals.
- Data Reduction: The original 741,000 RSMFs were strategically narrowed down to 86,000 RSMFs, ensuring only critical data was promoted to Relativity for review.
Results
With StreemView, the investigation team achieved exceptional efficiency and cost savings, ensuring a highly targeted, precise review process.
Key Metrics
- 4.9 million messages across 500,000 conversations managed seamlessly.
- 23 key individuals identified through identity normalization.
- Over 650,000 unnecessary RSMFs eliminated, reducing review volume by 88%.
- An estimated $100k saved in hosting and review costs.
- Significant time savings, enabling faster identification of critical content.
Conclusion
This case study highlights StreemView’s ability to transform large-scale mobile communication investigations into manageable, actionable datasets. By consolidating, deduplicating, and prioritizing messages across multiple platforms, StreemView empowers legal teams to conduct rapid, cost-effective reviews, ensuring efficient case resolution.
