In the past year, we’ve seen a shift in how people communicate at work. Emails are no longer the main source of information in an investigation or litigation. Instead, conversations now live in Teams, Slack, WhatsApp, and dozens of other chat tools. These platforms were built to make work faster and more collaborative—but for lawyers, they’ve created a new category of challenges we’re now calling “problem data.”

Across the industry, legal teams are struggling with something that didn’t exist a decade ago: messy chat data. Exports come in confusing formats, reactions and emojis get separated from the original message, conversations break into threads, and deleted content creates even bigger gaps. Over the past week, several blogs and webinars have focused on these same challenges—and it’s clear the legal world is trying to catch up.

At Sovereign Discovery, we’ve been helping teams make sense of chat data long before it became the next “hot topic.” But the problem has become too big to ignore, and it’s time more organizations prepare for it.

Why Chat Platforms Create “Problem Data”

Unlike email, chat conversations aren’t linear. They are fast, layered, emotional, and sometimes chaotic. When people communicate through short messages, GIFs, emojis, reactions, voice notes, and side threads, the data becomes harder to reconstruct in a meaningful way.

Here are the most common issues lawyers run into:

  • Chat exports aren’t readable.
    Raw exports from Slack, Teams, or WhatsApp often come in JSON or text bundles. Without the right tools, it’s almost impossible to follow who said what, when, and in which context.

  • Reactions and emojis are separated.
    A simple thumbs-up may seem harmless, but in a litigation, it can be considered agreement—or disagreement. When reactions don’t attach to their original messages, the meaning gets lost.

  • Threads break conversations apart.
    A conversation may start in a channel, continue in a thread, jump to a private chat, and end in a group call. Without proper reconstruction, the story becomes fragmented.

  • Deleted messages leave holes.
    Even when deletions are legitimate, missing messages create gaps that opposing counsel will question. The absence of information becomes as important as the information itself.

  • Screenshots aren’t enough.
    Many organizations still rely on screenshots because they’re easy. But screenshots fail every legal standard for completeness, metadata, and authenticity.

These issues don’t just slow down discovery—they can change the interpretation of the facts. That’s why organizations must treat chat data with the same seriousness as traditional email collections.

How Sovereign Discovery Helps Solve the Problem

At Sovereign Discovery, we work with chat data every day. Our role is simple: make it readable, reliable, and ready for legal review.

Here’s how we support clients:

  • Smart collection.
    We use purpose-built processes to collect chat data directly from the source, keeping metadata, timestamps, and reactions intact.

  • Conversation reconstruction.
    We rebuild chats so they look and feel like the original platform—threads, emojis, reactions, and even deleted-message indicators included.

  • Clear review formats.
    Instead of forcing lawyers to read JSON files, we convert chat logs into clean, chronological stories that can actually be followed by a human.

  • Compliance and defensibility.
    Everything we deliver is aligned with legal standards so that no one questions how the data was collected or presented.

  • Training and guidance.
    We educate corporate teams before they face a litigation event. The earlier they prepare, the fewer surprises they face later.

The rise of chat data is not a temporary trend—it’s the new reality. And organizations that prepare now will save time, money, and unnecessary risk in the future.

Closing

The way people communicate has changed, and discovery must evolve with it. If your legal, compliance, or IT teams are concerned about chat data – or simply want to be prepared before an issue comes up—we’re here to help.