Mobile data has fundamentally changed the way cases are built, reviewed, and understood. What was once considered supplemental evidence is now often the primary source of truth—and with that shift comes new complexity.
In a recent In Discovery Mode episode, Ryan Frye, CINO at ModeOne and Ray Biederman, CEO at Proteus, unpacked what really happens after mobile data is collected, offering a behind-the-scenes look at how raw data becomes meaningful insight.
Mobile Data Is Now the Default
A decade ago, mobile data was the exception in investigations. Today, it’s the rule.
As Ray Biederman explains, conversations that once lived in email have largely migrated to text messages and messaging apps. This shift has changed not only what gets collected, but how cases unfold.
The Real Work Starts After Collection
While collection methods have evolved, the real challenge lies in what comes next: review, interpretation, and context.
Mobile data is inherently fragmented—spread across platforms, formats, and communication styles. Turning that into a cohesive narrative requires more than just access to the data. It requires structured workflows, thoughtful review, and the ability to identify patterns across conversations.
New Data Sources Emerge Mid-Review
One of the most important takeaways from the conversation is that discovery doesn’t stop at collection.
Review teams frequently uncover previously unknown communication channels—whether it’s a new messaging app, a secondary account, or an entirely different platform. These discoveries can expand the scope of a case and introduce new risks or narratives that weren’t initially considered.
The Rise of Non-Traditional Communication
Modern communication is no longer limited to email and SMS. Platforms like WhatsApp, Discord, and others are now central to how people communicate—and they present unique challenges.
These platforms often include informal language, emojis, GIFs, and shorthand that require human interpretation. As Ray points out, even something as simple as a GIF can carry different meanings depending on context, making automated interpretation difficult.
Where AI Fits In
While AI may not fully interpret human communication anytime soon, it does play an important role in organizing and clustering data.
Emerging capabilities allow teams to group conversations, identify patterns, and surface relevant threads more efficiently. However, human expertise remains critical in understanding nuance, intent, and context.
From Insight to Presentation
The final step in the lifecycle—presentation—is often overlooked.
Once insights are uncovered, legal teams must translate them into a clear, defensible narrative for judges, juries, or regulators. This requires not just accurate data, but a cohesive strategy for storytelling.
The Bigger Picture
The conversation reinforces a key shift in modern discovery:
The challenge is no longer just collecting mobile data—it’s making sense of it.
As mobile data continues to dominate investigations, organizations that invest in structured workflows, modern tools, and thoughtful review processes will be best positioned to turn data into defensible insight.