A single litigation matter can involve a law firm, multiple outside counsel, an eDiscovery provider, forensic experts, managed review teams, AI tools, cloud repositories, and client IT departments. Every handoff creates another copy, another storage location, another potential security risk, and another line item on an invoice.
The question firms should be asking is no longer:
"How much data do we have?"
It's:
"How many versions of our client's data exist, who has them, and do we actually know where they all are?"
The Data Explosion
Consider a fairly routine workflow:
- Client preserves original data.
- Collection vendor creates forensic copies.
- Processing platform generates extracted data and indexes.
- Review platform hosts natives and images.
- Productions create additional exported sets.
- Experts receive separate working copies.
- Opposing parties receive produced documents.
- Backup systems quietly create even more duplicates.
So 1 TB of collected information may exist across numerous environments. And with the rise of generative AI, the multiplication doesn't stop there: meeting summaries, chatbot interactions, automated document summaries, and analytics outputs are themselves becoming discoverable evidence.
Hidden Cost - It Isn't Storage
It's complexity. Storage has actually declined over the past decade now with rates below $5/GB/month.
But what exactly is that GB?
It's not just one file on one drive. You're paying for native files, databases, search indexes, analytics structures, produced images, metadata, backups, and system redundancy. A single online gigabyte is often stored multiple times to ensure availability and disaster recovery.
Now multiply that across dozens or hundreds of active matters. The technical debt of litigation data quietly accumulates over time.
Where is it, Anyway?
Ask five people involved in a matter where the authoritative version of the data resides, and you may receive five different answers: review platforms, cloud mailboxes, encrypted external drives, with experts, and more.
Litigation teams frequently rely on disconnected systems, emails, spreadsheets, and manual trackers that don't communicate with one another. The result is fragmented governance and uncertainty around the true source of record.
Without a clear governance strategy, firms risk losing visibility into their own litigation ecosystem.
AI Makes Governance MORE Important
Artificial intelligence is changing legal workflows rapidly, but AI has exposed an uncomfortable truth:
Most litigation data isn't organized well enough to support it.
AI systems depend on structured, trustworthy information. Poor naming conventions, duplicate files, inconsistent metadata, and scattered repositories reduce both the effectiveness and defensibility of AI-driven workflows. Governance questions such as data ownership, consistency, and accessibility have become prerequisites for successful AI adoption.
In many ways, AI isn't creating a new problem.
It's simply shining a spotlight on one that has existed for years.
What to Do?
Before your next major matter, ask yourself and make a plan for:
- How many copies of our client's data currently exist?
- Who has possession of each copy?
- Can we quickly identify which version is authoritative?
- Do we have a documented plan for moving, storing, and ultimately purging that data?
Conclusion
The firms that gain a competitive advantage over the next several years won't simply have the newest technology.
They'll be the firms that know exactly what data they have, where it lives, how many copies exist, who controls it, and when it should move, archive, or disappear.
Because in modern litigation, managing the data may be just as important as reviewing it.
