Avalon 2025

The Next Chapter in eDiscovery: Inside EDRM 2.0

Written by Team Avalon | Jul 6, 2026 1:48:17 PM

For nearly two decades, the Electronic Discovery Reference Model (EDRM) has served as the industry’s roadmap for managing electronically stored information (ESI) throughout the litigation lifecycle. Whether organizations realized it or not, many of the workflows, technologies, and best practices used in eDiscovery have been shaped by this framework. Now, for the first time since the model was expanded to incorporate the Information Governance Reference Model (IGRM), the EDRM is undergoing a significant evolution.

On June 30, 2026, EDRM opened public comment on EDRM 2.0, a comprehensive update developed by approximately 150 legal, technology, records management, privacy, cybersecurity, and information governance professionals from around the world. Rather than making cosmetic changes, EDRM 2.0 reimagines the framework to reflect how legal teams actually manage digital evidence today, including the growing role of artificial intelligence (AI), continuous data analysis, cloud computing, privacy regulations, and cross-functional collaboration.

For legal departments, law firms, and litigation support providers, these updates represent more than a new diagram. They signal an important shift in how discovery should be approached in an increasingly data-driven world.

Why Was the EDRM Updated?

When the original EDRM was introduced in 2005, the legal technology landscape looked dramatically different. Most business data lived on local servers. Mobile devices were still in their infancy. Collaboration platforms like Microsoft Teams and Slack didn't exist, and AI certainly wasn’t reviewing documents or helping attorneys develop case strategy. Today, legal matters are incredibly different.

Organizations must now manage data spread across cloud applications, collaboration platforms, mobile devices, structured databases, social media, and increasingly, AI-generated content. At the same time, privacy regulations, cybersecurity concerns, and information governance have become inseparable from the discovery process.

The EDRM community recognized that the traditional linear workflow no longer mirrored reality. Modern discovery is iterative, collaborative, and continuous. EDRM 2.0 was designed to better represent that reality while providing organizations with a practical framework for managing legal data throughout its lifecycle.

What’s New in EDRM 2.0?

Although the familiar discovery stages remain recognizable, the updated model introduces several important conceptual changes.

  • Information governance moves to the center – One of the most significant changes is the deeper integration of information governance into every stage of the discovery lifecycle. Instead of treating governance as a separate discipline, EDRM 2.0 emphasizes that defensible discovery begins long before litigation. Data classification, retention policies, privacy controls, security measures, and records management all influence what can be preserved, collected, reviewed, and ultimately produced.

  • Discovery is no longer a straight line – The original EDRM often appeared as a linear process progressing from identification through production. In practice, discovery rarely works that way. Legal teams frequently revisit earlier decisions as new custodians are identified, additional evidence emerges, or AI uncovers previously overlooked connections. EDRM 2.0 acknowledges these iterative workflows by emphasizing continuous analysis and feedback throughout the process instead of presenting discovery as a one-way sequence.

  • Data Acquisition framework – Identification, Preservation, Collection, and Processing are grouped within a unified Data Acquisition framework, recognizing that these activities increasingly operate together rather than as strictly sequential steps in the move toward increased emphasis upstream.

  • Disposition as a core phase – Disposition is now represented as a discrete phase, acknowledging the practical, legal and ethical responsibility to address data after it is no longer required at the end of the lifecycle.

  • AI is recognized as part of modern discovery – Perhaps the most visible evolution is the recognition that AI is becoming a standard component of legal workflows. Rather than treating AI as a standalone technology, EDRM 2.0 expresses how machine learning, predictive analytics, generative AI, and intelligent automation are fundamental components of multiple phases of discovery, from identifying relevant information to accelerating document review, privilege analysis, and case strategy.

    Notably, the updated model reinforces that AI exists everywhere in the legal and eDiscovery ecosystem, and should enhance professional judgment rather than replace it. Human oversight, defensibility, transparency, and quality control remain essential components of legally sound discovery.

What Does This Mean for Managed Document Review?

While many discussions surrounding EDRM 2.0 focus on AI, the biggest impact for many organizations may be in how they approach document review, as this phase remains one of the largest drivers of both cost and timeline in most litigation matters.

Even with advances in technology-assisted review (TAR) and generative AI, legal professionals are still responsible for determining responsiveness, identifying privileged communications, evaluating confidentiality, and making defensible production decisions. Managed document review services become even more valuable within the EDRM 2.0 framework because successful review now requires more than simply reading documents.

Today’s reviewers must understand:

  • AI-assisted review workflows
  • Continuous quality control processes
  • Privilege identification
  • Privacy considerations
  • Technology-assisted review methodologies
  • Collaboration with legal, technology, and information governance teams

Rather than replacing managed review teams, AI is changing the nature of their work. Experienced review professionals increasingly supervise AI outputs, validate technology-assisted decisions, evaluate complex or ambiguous documents, and ensure that automated workflows remain accurate and defensible. This combination of technology and human expertise produces stronger outcomes than either could achieve independently.

Human Expertise Still Matters

One misconception surrounding AI in legal technology is that automation eliminates the need for experienced reviewers. But the opposite is often true.

As AI accelerates first-pass review and document categorization, legal teams rely even more heavily on knowledgeable reviewers to validate results, identify nuanced legal issues, recognize privilege, and exercise judgment where technology reaches its limits. The updated EDRM echoes this collaborative model, where people, process, and technology work together rather than compete against one another.

Organizations that invest in experienced managed review teams alongside modern AI capabilities are often better positioned to deliver consistent, defensible results while controlling cost and reducing review timelines.

Preparing for the Future of Discovery

EDRM 2.0 is still undergoing public review, but its direction is already clear. Modern eDiscovery is becoming more integrated, more collaborative, and more intelligent. Information governance, cybersecurity, privacy, AI, analytics, and managed review are no longer separate conversations; they’re interconnected components of the same legal data ecosystem.

For organizations that regularly respond to litigation, regulatory investigations, or internal investigations, now is an excellent time to evaluate current discovery workflows. Questions worth asking include:

  • Does your information governance strategy support efficient discovery?
  • Are AI tools being used responsibly and defensibly?
  • Does your managed document review process combine technology with experienced legal professionals?
  • Can your discovery workflows adapt as legal technology continues to evolve?

The organizations that answer “yes” to these questions will be better equipped to manage increasing data volumes, tighter deadlines, and growing regulatory expectations.

Why EDRM 2.0 Matters

The release of EDRM 2.0 represents more than an update to a familiar framework. It reflects how the legal industry itself has evolved. Discovery is no longer simply about collecting and reviewing documents. It is about governing information throughout its lifecycle, leveraging technology responsibly, and combining AI with experienced legal professionals to make faster, smarter, and more defensible decisions.

Managed document review remains a critical part of that equation. While AI is transforming how review is performed, successful outcomes still depend on skilled professionals who understand both the technology and the legal standards behind every production decision.

As EDRM 2.0 moves through public comment and eventual adoption, organizations that embrace these principles will be well positioned for the next generation of eDiscovery.

The evolution of EDRM 2.0 is a reminder that successful discovery isn’t just about adopting new technology; it’s about applying it strategically. If you’re evaluating how AI, information governance, or managed document review fit into your litigation strategy, our team is here to help you build a workflow that addresses your challenges and prepares you for what's next. Contact us today for assistance.