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eDiscovery Buyers Report 2026

What Drives eDiscovery Deployment Decisions

Security and CISO governance, AI access, cost and data sovereignty shape where eDiscovery buyers deploy, and 48% expect a hybrid model within 24 months.

Multiple Factors Drive Deployment Decisions

In making deployment decisions, legal teams weigh regulatory and data sovereignty
requirements
(for example, the EU GDPR’s restrictions on cross-border data transfers), cost, and security to determine the option that best serves their needs.

Importance of Nine Deployment Factors, Rated Important Net

  • Predictability of Total Cost over a 3–5 Year Horizon82.5%
  • Ease of Internal IT Operation and Support80.5%
  • Negotiating Leverage with eDiscovery Vendors80%
  • Access to the Latest AI and Analytics Capabilities79%
  • Cybersecurity and CISO-Level Data Governance Policies78%
  • Client-Mandated Deployment Requirements77.5%
  • Regulatory or Jurisdictional Data Sovereignty Requirements77.5%
  • Ability to Move Matters Between Deployment Models without Re-Tooling77%
  • Control over Infrastructure and IT Environment76.5%

We asked survey participants to rate the importance of nine deployment factors on a five-point scale. Across all nine factors, at least three quarters of respondents rated each as somewhat important (4) or critically important (5). This at once indicates that, in some cases, considerations tie directly to non-negotiable operational requirements — for instance, around security and where data resides — and that, in almost all others, “softer” criteria, like cost predictability and access to AI, rise to the level of hard-and-fast requirements. The fact that buyers attribute equal importance to a broad range of considerations indicates that organizations take a multidimensional approach to deployment decisions that extend beyond traditional regulatory, security, and cross-border factors.

Forced to Choose, Buyers Put Security and AI at The Top

To see how those decision-making factors rank against one another, we asked participants to select their top two criteria.

35% of buyers rank cybersecurity and CISO governance policies in their top two criteria, followed by AI access and flexibility at 26%.

Top-two Most Important Deployment Factors

% of respondents selecting each factor; up to 2 choices, so shares exceed 100%

  • Cybersecurity and CISO-Level Data Governance Policies34.5%
  • Access to the Latest AI and Analytics Capabilities26%
  • Ease of Internal IT Operation and Support21.5%
  • Predictability of Total Cost over a 3–5 Year Horizon20%
  • Client-Mandated Deployment Requirements19%
  • Negotiating Leverage with eDiscovery Vendors18%
  • Regulatory or Jurisdictional Data Sovereignty Requirements17.5%
  • Ability to Move Matters Between Deployment Models without Re-Tooling16%
  • Control over Infrastructure and IT Environment16%

Read in isolation, this finding understates AI’s influence on deployment decisions.
As organizations pursue aggressive AI adoption, AI has become an underlying driver across several of the top-ranked factors, including cost predictability (threatened by AI-related data growth), cybersecurity (protecting sensitive data from AI training), and infrastructure control (determining which AI models teams can run). When aggregated, AI emerges as the single largest driver of deployment decisions.

Buyers Are Skeptical of a Single Deployment Approach

Buyers generally do not accept that one deployment model — to simplify it, public vs. private cloud — can serve every matter, and they attribute the narrowing of their options to the incumbent vendor’s commercial strategy rather than their own needs.

68% agree their primary vendor is steering them toward a deployment model that suits the vendor’s commercial model over their own
‍
48% expect to run a hybrid deployment approach within 24 months

Expected Deployment Mix, Next 24 Months

  • Expect to operate a mix of deployment models (24.5%)
  • Expect current mix to stay the same (23%)
  • Expect to consolidate onto one multi-tenant SaaS platform (22%)
  • Expect significant change, unsure of direction (17%)
  • Expect to consolidate onto one privately-deployed platform (13%)
  • Not sure (0.5%)

No single deployment model commands a majority, reflecting that buyers want infrastructure architected for flexibility, not for one destination.

Respondents also state that private deployment models are best suited to that flexibility. And despite consolidation across the current vendor regime, 92% of respondents expect the pool of credible options to grow over the next five years. Nine in 10 say they need it to.

Availability of Private-Deployment Options Over 5 Years: Expect vs Want

  • More Options (Net) Expect: 92% Want: 90%
  • About the Same as Today Expect: 4.5% Want: 6.5%
  • Fewer Options (Net) Expect: 3.5% Want: 3.5%
  • Of Which: Significantly More Expect: 28% Want: 30%

Chapter 4

The Public Cloud-Only Risk

Read the Next Chapter

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Get the 2026 eDiscovery Buyers Report

All the data from 200 senior buyers on AI adoption, private deployment, cost and portability, plus the ACEDS industry pulse survey.