4 Strategies to Keep Modern Discovery Defensible

[EDRM Editor’s Note: This article was first published here on November 14, 2025, and EDRM is grateful to Trusted Partner Exterro for permission to republish. EDRM is happy to amplify our Trusted Partners news and events.]

The modern workplace wasn’t built with e-discovery in mind. Every year brings new collaboration platforms, new mobile apps, new cloud repositories, and now an entirely new category of digital material: AI-generated content. Slack channels, Teams chats, shared drives, personal devices, ephemeral messages, cloud archives, synthetic documents — all of it can become relevant, responsive, and discoverable. For legal teams, this expanding universe of data is both a goldmine and a minefield. The challenge isn’t just collecting it — it’s keeping the process defensible, consistent, and aligned with evolving judicial expectations.

The rules haven’t changed, but the data has. And fast.

The Great Data Expansion

There was a time when most discoverable information lived in email or structured systems. That time is long gone. Today, the majority of workplace communication happens in platforms designed for speed and convenience, not preservation and production.

Consider the new landscape:

Cloud ecosystems like M365 and Google Workspace now hold the majority of enterprise content, but the data lives in constantly shifting environments with layered metadata and complex permission structures.
Collaboration platforms (Slack, Teams, Zoom, Webex) generate dynamic, threaded, multimedia conversations that rarely resemble static “documents.”
Mobile sources contain texts, encrypted messaging, location data, app content, and device-specific metadata — all of which can be relevant in litigation.
AI-generated content adds a new twist: documents that have no human author, version histories that don’t behave like traditional files, and synthetic outputs that may or may not reflect discoverable facts.

This explosion hasn’t made discovery impossible — but it has made the old playbooks dangerously incomplete. That’s why we’re partnering with eDiscovery Today to bring you a webinar on Future-Proofing eDiscovery on eDiscovery Day, December 4th, this year.

Discovery Is Riskier Than Ever

Courts are already signaling that modern data sources are not optional. Several recent rulings have highlighted the expectation that organizations understand (and retain) data from cloud-native systems, ephemeral messages, and collaboration apps. Judges have also shown little patience for teams that fail to preserve or produce this data simply because the formats are unfamiliar or technically complex. A lack of technical fluency is no longer a viable excuse.

The risks show up in three major areas:

1. Preservation failures
Ephemeral messages, overwritten versions, or auto-deleted chats can quickly lead to spoliation claims — especially when organizations cannot show a reasonable effort to retain what matters.

2. Metadata inconsistency
Modern platforms embed multiple layers of metadata: timestamps, edits, reactions, threads, and user interactions. Failing to understand these structures can create authenticity challenges later.

3. Disconnected workflows
Legal, IT, InfoSec, HR, and compliance often manage different systems. Unless teams collaborate early, critical data sources get overlooked or collected inconsistently.

In short: discovery isn’t just broader — it’s more fragile.

4 Strategies to Keep Discovery Defensible

Defensibility isn’t about predicting every source. It’s about building flexible processes that can handle whatever comes next. Here are four strategies that define defensible discovery in a world where everything is discoverable:

1. Expand Your Data Inventory Beyond Email and Shared Drives

Your data map should reflect reality — not nostalgia. That means accounting for:

Slack, Teams, Zoom, Webex
SharePoint, Google Drive, Box, Dropbox
M365 apps that generate discoverable content (Planner, Loop, Whiteboard, Yammer/Viva)
Mobile messaging and device-specific data
AI-generated or AI-modified content

A defensible process begins with knowing what exists and who controls it, even if you don’t preserve all of it by default.

2. Treat AI-Generated Content as Part of the Evidence Landscape

Whether produced by generative models, automated agents, or embedded platform features, AI content creates new questions:

Is it discoverable?
How do you authenticate something that doesn’t have a human author?
What metadata proves authorship, timing, or accuracy?
How do you demonstrate that a synthetic output wasn’t altered post-generation?

While standards are still emerging, one principle is clear: you must document how your systems generate, modify, and store AI outputs. Courts will expect transparency, even if the technology is new.

3. Build Workflows That Can Adapt Quickly

Rigid workflows don’t survive modern data environments. Defensible discovery instead requires:

Repeatable but flexible workflows
Tools that can integrate with cloud APIs and collaboration apps
Clear communication between legal, IT, and security
Documented decisions at each stage of the matter

When data sources evolve, a flexible workflow can expand to meet them without breaking defensibility.

4. Invest in Technical Competence — Not Just Tools

Even the best platform cannot solve a skills gap. Legal teams need to understand the difference between exporting a Slack channel and collecting its underlying metadata; they need to know where Teams stores meeting chats; they need to recognize how Google Workspace versions documents.

And as AI becomes part of both the data and the tools handling it, competence becomes even more essential. When teams understand the systems behind the data, they can validate collections, explain decisions, and withstand challenge. That’s what defensibility looks like in the modern era.

Preparing for What Comes Next

The truth is clear: modern data will only get more complicated. What seems cutting-edge today will be routine next year. And the teams that thrive will be the ones who design discovery processes that adapt, integrate, and scale.

If you want to dig deeper into these challenges — and hear from some of the industry’s most respected voices — join the E-Discovery Day session “Future-Proofing eDiscovery: Challenges and Considerations Associated with Modern Data Sources” featuring Doug Austin, Greg Buckles, Jerry Bui, and Kelly Twigger.

The future of discovery isn’t about chasing every new platform. It’s about building defensible systems that can handle whatever comes next.