Why Single-Source Data Doesn’t Hold Up in Litigation.
When people think about digital evidence, they often imagine one clean data extract pulled from a phone or a cloud account. But the reality is: single-source data rarely holds up under scrutiny. In high-stakes litigation, the truth is layered, and the real value comes from how well we can piece together multiple data layers.
Consequently, analysis of a wide variety of digital records: mobile device data, email and messaging logs, CRM platforms like Salesforce, badge access records, location data, etc. is necessary. On their own, each data source offers a narrow view. But when aligned correctly, they can reveal patterns that are hard to dispute, and, just as importantly, hard to fake.
The Power of Completeness.
Layering multiple data sources together ultimately helps create a more complete picture. And in building this complete picture we are able to compare multiple data streams together to reveal both correlation and contradiction. It’s not about catching people in lies. It’s about stacking and comparing activity from separate systems to get closer to what actually happened. That includes validating consistent records, and flagging inconsistencies that might otherwise go unnoticed.
At the end of the day, people are unreliable narrators, but data doesn’t lie, fabricate, or misremember. People do, and that’s not an accusation. It’s a reality. People don’t necessarily even lie on purpose, at least, not always, and misremembering? Humans do that a lot.
CASE STUDY: The CRM Said One Thing. The Data Said Another.
In one recent matter, opposing counsel submitted Salesforce logs to support a client’s claim that they were actively traveling and meeting with prospects during a disputed period. Their position was built around a clean report showing dozens of meetings logged across multiple states.
When we compared that CRM data to mobile phone records, a very different picture emerged. Location data showed the individual hadn’t left their hometown for weeks. No hotel receipts. No flight confirmations. No badge swipes in other regions. Nothing in the data supported the idea that any of these meetings took place in person, or even at all.
When we presented the correlated timeline– built from Salesforce, phone location logs, and internal communications metadata– it became clear the records were inconsistent. The result? The court disregarded the Salesforce logs as reliable evidence. That changed the case strategy entirely.
It’s Not the Data. It’s the Discrepancy.
No two systems record information the same way. Timestamps are often in different time zones. Usernames vary across platforms. Devices may log the same activity under different event types. Our job is to clean, normalize, and structure all of that data into a coherent timeline.
This alignment process isn’t glamorous, but it’s essential. It allows us to run comparisons that hold water. Did a badge swipe happen at the same time a Teams meeting was logged? Was the user actually in the building when they claimed they were logged in remotely? Those kinds of questions are answerable only when data is processed the right way.
Technology Helps. Expertise Confirms It.
We use a combination of Python, SQL, and in-house tools to build these timelines. Still, tech alone isn’t enough. Context matters. When you’re dealing with massive datasets, automated scripts can highlight anomalies, but it takes experienced judgment to interpret them. That’s where consultants come in.
We’re not trying to overwhelm anyone with technical jargon. We’re building narratives that can be understood by attorneys, judges, and juries. The goal is always clarity: What happened, when, and what supports that conclusion.
One Source is a Statement. Multiple Sources Tell a Story.
The next time someone says, “We pulled the phone records,” ask what else they pulled. Because without correlation and cross-verification, one dataset is just one perspective. Strong cases are built on multiple sources that confirm, contradict, or refine each other.
That’s the standard we hold ourselves to, and the standard we believe litigation analytics should meet.
Want to hear more on why multiple data sets matter? You’re going to want to dive into a recent episode of our podcast, iDS Talks. You can listen here.
iDS provides consultative data solutions to corporations and law firms around the world, giving them a decisive advantage – both in and out of the courtroom. iDS’s subject matter experts and data strategists specialize in finding solutions to complex data problems, ensuring data can be leveraged as an asset, not a liability. To learn more, visit stg-idsinccom-stage.kinsta.cloud.