Internal Investigations: Making Collaboration Data Usable

What Makes Collaboration Data Usable in an Internal Investigation

When an internal investigation opens, the evidence already exists. It lives in the collaboration tools employees use every day: Slack channels, Microsoft Teams threads, Google Workspace files, shared drives. The problem is not finding data. It is collecting data that is actually usable during review.

According to the 2024 Gartner Market Guide for E-Discovery Solutions, enterprise organizations now manage communication data across an average of more than 15 distinct platforms, each with different export formats, different metadata structures, and different retention defaults. The gap between data that exists and data that is review-ready is where investigations slow down and where legal risk accumulates.

The Core Problem: Volume Without Usability

When an investigation begins, teams frequently rely on one of three approaches, each of which introduces risk:

• Manual IT exports. Slow, inconsistently formatted, and often stripped of the metadata that gives communications evidentiary value.
• Native platform preservation tools. Useful but limited. They rarely support cross-platform collection or structured export into review platforms.
• Custodian self-collection. Introduces chain of custody concerns and almost always produces incomplete results.

None of these approaches scale to a multi-platform investigation. The EDRM has noted in its published guidance that data quality problems at the collection stage propagate through every subsequent phase of the workflow, compounding cost and risk at each step.

Attributes That Make Collaboration Data Usable

1. Contextual Completeness

A message is not the same as a conversation. Collaboration platforms structure communication in threads, channels, and reactions. A Slack message extracted without its thread, without linked attachments, and without edit history is a different evidentiary object than the same message in context. Contextual completeness means collecting the surrounding structure, not just the content.

Onna's approach to modern scoping for internal investigations explains how scoping decisions made early in the process directly determine what ends up in the review set.

2. Defensible Chain of Custody

Usable data is data that can be authenticated. That means demonstrating that what was collected matches what the source system contained, that it was not modified during or after collection, and that the collection process was documented. This requires hash verification at collection, audit logs by custodian and source, and a workflow that does not depend on manual intervention.

The latest innovations in accelerated data collection software show how automated collection pipelines meet these requirements without adding time or complexity to the investigation process.

3. Cross-Platform Normalization

Internal investigations rarely stay within a single platform. A harassment inquiry might involve Teams messages, a shared Drive folder, and an email thread. A financial misconduct case might span Slack, Salesforce, and a file collaboration tool. Each produces data in a different format with different metadata conventions.

Cross-platform normalization converts that heterogeneous data into a consistent format that review tools can process without custom handling for each source. This is where purpose-built digital communications software provides the most direct value. Building custom extraction scripts per platform adds weeks to collection timelines and introduces significant error risk.

4. Review Readiness

Data that has been collected and normalized still needs to move efficiently into a review environment. Review readiness means the data is formatted for eDiscovery platform ingestion, searchable by keyword and metadata, and filterable by custodian, date range, or source without manual preprocessing.

A structured approach to auditing data from collaboration apps before an investigation opens is one of the most effective ways to reduce the time between triggering event and review-ready data set.

Factors That Undermine Usability

Platform Proliferation Without Governance

Most enterprises have added collaboration tools faster than they have built governance frameworks to manage them. Shadow IT adoption of consumer-grade messaging and file sharing creates data populations outside the scope of most eDiscovery programs. According to a 2023 survey conducted by the Association of Corporate Counsel, more than 60 percent of in-house legal teams reported that off-channel communications created significant complications in at least one recent investigation.

Retention Policies That Preempt Collection

Collaboration platforms frequently default to retention settings shorter than the timelines relevant to litigation or regulatory response. A Slack workspace set to delete messages after 90 days may be silently destroying potentially relevant data on a rolling basis. Without a proactive legal hold that overrides those defaults at the platform level, an investigation may open too late to preserve the full record.

Siloed Collection Workflows

When each data source requires a separate collection process managed by a different team, the cumulative time cost of a multi-platform investigation grows fast. Organizations running legal holds, IT exports, and vendor collection as separate workflows with separate handoffs consistently take longer to reach review-ready status than those with integrated infrastructure. Onna provides a practical framework for building that infrastructure, including connector strategy, legal hold management, and review platform integration.

What Legal and Compliance Teams Can Do

• Build data maps before investigations open. A current inventory of platforms, data types, and retention and export capabilities is the foundation of fast, defensible collection.
• Apply legal holds at the platform level. A hold communicated to custodians but not enforced at the platform level is not technically a hold. Platform-level preservation overrides eliminate the gap.
• Standardize on cross-platform collection infrastructure. Purpose-built data collection for internal investigations removes the case-by-case engineering work that slows siloed workflows.

Collaboration Data Is Only as Good as the Infrastructure Behind It

The evidence in most internal investigations lives in collaboration platforms. Whether that evidence is usable depends not on what those platforms contain, but on whether the organization has the infrastructure to collect it completely, preserve it defensibly, and deliver it in a form that supports review. Legal and compliance teams that treat collection infrastructure as a pre-investigation investment consistently reach review-ready status faster, with fewer disputes about data completeness or chain of custody.

Ready to build an investigation-ready data infrastructure?

Onna helps legal operations, compliance, and IT teams collect collaboration data at scale across every major platform, with the speed and defensibility that internal investigations require.

Contact the Onna team to get started.