Something has changed in higher-ed IT over the last 18 months. The conversations we're having with campus leaders no longer start with whether to replatform. They start with where to move, and how fast.
Twelve universities we worked with reached the same answer. They moved to Drupal.
What's interesting isn't that twelve institutions all chose Drupal. It's that the pressures pushing them there were almost identical, and the patterns of what worked (and what didn't) are stable enough to write down.
If you're at a similar moment on your own campus, what follows is what we'd want you to know before you start scoping the work.
Table of Contents
- What Changed in 2026 That Made Replatforming Urgent
- The Five Triggers We Heard Across All 12 Campuses
- Why Drupal Specifically, and Why This Year
- What "Good" Architecture Looks Like in 2026
- What to Expect: Timelines, Cost, and Where Projects Slip
- Two Stories of Projects That Had to Be Restarted
- A Five-Question Diagnostic for Your Own Campus
- The Pattern Behind the Pattern
What Changed in 2026 That Made Replatforming Urgent
The timing isn't accidental. Three forces have converged on university web estates this year, and most institutions only have the governance to handle one at a time.
The first is accessibility.
Even after the recent deadline extension, the pressure hasn't gone away.
On April 20, 2026, the U.S. Department of Justice issued an Interim Final Rule pushing Title II compliance deadlines back. Public universities serving 50,000 or more people now have until April 26, 2027. Smaller institutions have until April 26, 2028. The standard itself, WCAG 2.1 Level AA, hasn't changed.
Counsel at every campus we worked with read the extension the same way: more time to do the work properly, not a reason to stand down.
The second force is AI-driven discovery.
It has quietly rewritten what a university homepage is for.
Prospective students increasingly arrive at decisions through ChatGPT, Perplexity, Gemini, and Google AI Overviews. Those tools ingest structured content, not visual chrome. Universities whose program descriptions, faculty profiles, and admissions data live as structured fields in a content model are getting cited. Universities whose equivalent content lives inside WYSIWYG blobs aren't.
In 2026, replatforming is increasingly an AEO and GEO project disguised as an IT project.
The third force is simpler. Old platforms have run out of runway.
Drupal 7 reached end of life on January 5, 2025. Several proprietary higher-ed CMS products that captured 2010s-era market share have been acquired, sunset, or repriced. Custom-built stacks from in-house teams that have since turned over no longer have the institutional knowledge behind them. The "do nothing" option carries a cost it didn't three years ago.
The DOJ extension changed the calendar, not the architecture. Universities on platforms that can't demonstrate WCAG 2.1 AA conformance still need a path forward. They just have 12 to 24 more months to build it correctly.
The Five Triggers We Heard Across All 12 Campuses
When we compare notes across the twelve engagements, what's striking is how cleanly the triggers cluster.
The vocabulary changes from one campus to another. One calls it "compliance exposure." Another calls it "accreditation risk." But every one of the twelve institutions cited at least three of the same five triggers.
- Accessibility exposure that legal counsel was no longer comfortable with. In nine of twelve cases, replatforming was started or accelerated by a memo from general counsel. The trigger was rarely a lawsuit. It was an audit surfacing thousands of WCAG violations across hundreds of subsites, with no real path to fix them on the current stack.
- Multisite sprawl that had stopped being governable. A typical research university runs between 200 and 2,000 web properties. Of the twelve, the median count was 412. Six had no authoritative inventory of their own subsites, a fact leadership teams found more uncomfortable to admit than the audit itself.
- Content that wasn't structured enough for AI surfaces. Marketing teams at every campus were asking the same question by late 2025: why aren't our programs being cited in AI answers? The reason, almost every time, was that program data lived in unstructured page content rather than typed fields with stable identifiers.
- Component governance failure. Across all twelve campuses, design systems existed on paper but not in production. Authors had access to dozens of overlapping page-builder widgets. Brand consistency had degraded to the point that marketing teams could no longer guarantee what a prospective student would see on a given departmental page.
- Total cost of ownership had quietly inverted. Several leadership teams walked us through five-year TCO comparisons that genuinely surprised them. Proprietary stacks chosen partly to reduce engineering burden had, by year four, accumulated more customization, integration glue, and vendor escalation fees than an open-source equivalent would have. The license line was the smallest part of the bill.
Why Drupal Specifically, and Why This Year
None of those triggers points inevitably to Drupal. WordPress could solve some. So could Sitecore, Adobe Experience Manager, or a headless setup with Contentful or Sanity.
So why does Drupal keep winning these decisions?
The honest answer is that Drupal didn't win on philosophy. It won on a short list of capabilities that matured at the right time, against competitors whose strengths happened to be optimized for different problems.
Five capabilities in particular kept showing up in the decision conversations.
Drupal 11 closed the authoring gap
Released in August 2024, Drupal 11 finally addressed the criticism that had haunted the platform for years: powerful for developers, painful for content authors.
Combined with Drupal CMS 2.0 and the new Drupal Canvas page builder released in early 2026, that criticism no longer holds. In our engagements, content teams onboarded onto Drupal 10 or 11 in roughly half the time required three years ago.
Structured content is native, not bolted on
Entity types, fields, taxonomy, and JSON:API are first-class capabilities. They're not plugins or paid add-ons.
For institutions trying to make their content AI-discoverable, the platform produces the right artifacts as a byproduct of normal authoring. You don't need a separate headless CMS purchase to feed answer engines.
Multisite is finally a solved problem
The available patterns are well-understood now, not competing experiments. Domain Access, Group module, distinct installations behind a shared design system, and decoupled front ends each suit different governance postures.
Once you know which posture you're optimizing for, the architectural choice tends to make itself.
Compliance fit is concrete
Drupal core is built and tested to WCAG 2.1 AA standards. Conformance is documented at the platform level, not promised at the project level.
For public universities answering procurement questionnaires that increasingly ask about open-source provenance, security disclosure, and accessibility VPATs, the answers exist and are defensible.
The procurement equation has flipped
Five years ago, open-source CMS choices required institutional justification.
In 2026, increasingly, proprietary choices need it more, especially where data sovereignty, AI training opt-out, and exit costs are board-level questions.
If you're benchmarking Drupal against alternatives in detail, here's roughly how the comparison plays out across the dimensions that matter most to higher-ed teams:
| Capability | Drupal 10/11 | WordPress VIP | Sitecore | Headless (Contentful, Sanity) |
|---|---|---|---|---|
| Structured content modeling | Native, granular | Plugin-based | Strong | Native |
| Multisite at scale (200+ sites) | Strong (Domain Access, multi-install) | Workable, costly | Strong, expensive | Custom orchestration |
| WCAG 2.1 AA conformance | Core-level | Theme-dependent | Strong | Front-end dependent |
| SSO and IdP integration | Native (SAML, Shibboleth, OIDC) | Plugin-based | Native | Custom |
| JSON:API for AI discoverability | Native | Plugin-based | API available | Native |
| 5-year total cost of ownership | Low to moderate | Moderate | High | Moderate to high |
| Vendor lock-in risk | Low | Moderate | High | Moderate |
| Editorial workflow complexity | Strong | Moderate | Strong | Limited |
Working through this in detail? Our Drupal development services overview walks through the trade-offs in greater depth.
What "Good" Architecture Looks Like in 2026
If you've decided to move to Drupal, the next decision isn't which version to use. It's which architectural pattern.
The twelve campuses ended up in one of three patterns. The right one depends almost entirely on how centralized your institution's brand and governance posture is.
| Pattern | Best Fit | Used by (of 12) | Operational Overhead | Governance Strength |
|---|---|---|---|---|
| A. Single Drupal install, Domain Access | Strong central marketing authority, 50–300 subsites sharing a design system | 4 | Lowest | Strongest |
| B. Multiple installations, shared design system | Federated institutions where colleges have legitimate autonomy | 5 | Moderate | Moderate (policy-enforced) |
| C. Decoupled Drupal with Next.js or Astro front end | Content appearing across multiple channels (web, mobile, kiosks, partner sites, AI agents) | 3 | Highest | Strongest (when governed well) |
A note on the third pattern, because it's the one that gets discussed most and chosen most badly.
Decoupled Drupal is the right answer when content needs to appear across multiple channels: web, mobile apps, kiosks, partner portals, AI agents.
It's the wrong answer when the only goal is a faster homepage.
Three of our twelve campuses chose decoupling, and all three were flagship research institutions with genuine multi-channel content needs. None chose it for performance alone.
Across all three patterns, four design choices were universal. A governed component library, typically built with Single Directory Components. A structured content model for programs, faculty, news, events, and courses, exposed via JSON:API. SSO and identity integration at the platform layer. And editorial moderation states tied to organizational roles, not individual user permissions.
What to Expect: Timelines, Cost, and Where Projects Slip
If you've read this far, you probably want to know what to actually expect when you start the work.
Across the twelve engagements, the ranges we observed are wider than vendors usually quote, but more honest. Treat them as planning anchors, not estimates.
Timeline
Discovery through launch ran from 9 months for a single college with focused scope, to 26 months for a full institutional rollout with phased subsite migration. The median was 14 months.
The biggest variable wasn't technical complexity. It was the time required to make governance decisions that had been deferred for years.
Migration scope
Of the legacy content audited, 38% was migrated as-is, 22% was restructured during migration, 19% was rewritten by communications teams, and 21% was retired.
Universities that committed to a content audit before technical migration finished six to ten weeks faster than those that didn't. The audit isn't optional work. It's the work that determines whether the rest of the project is efficient or expensive.
Cost composition
Here's roughly how a typical engagement broke down:
| Category | Share of Total | Notes |
|---|---|---|
| Platform development | 35–45% | Site building, custom modules, theming, performance |
| Content migration and editorial work | 20–25% | Often underestimated when content audit is skipped |
| Design system and component development | 15–20% | Single Directory Components, pattern library, tokens |
| Integrations | 10–15% | SIS, CRM, marketing automation, IdP, payment, search |
| Training and change management | 5–10% | Most underfunded line; protect this budget |
The lines that are most consistently underestimated are integrations and change management. Both look small on a project plan and become large in practice. We've stopped letting clients underbudget either one.
Where projects slipped
In eleven of twelve engagements, the main cause of schedule slippage wasn't engineering. It was decision latency in governance bodies that hadn't been chartered with replatforming-scale authority.
Steering committees that meet monthly to approve $50K decisions can't govern a project that needs $500K decisions made in two weeks. Set up a dedicated steering committee with real authority to make decisions before discovery begins, not after.
Two Stories of Projects That Had to Be Restarted
Two of the twelve engagements failed before they were rescued. Both failures were instructive enough to be worth telling.
The first was a like-for-like rebuild. The institution scoped the project as "rebuild what we have, but on Drupal." It sounded conservative. Even prudent.
Eighteen months in, it became clear they were rebuilding a content architecture that had failed for the same reasons it would fail again. The new platform was inheriting all the old problems.
The fix wasn't more engineering. It was a forced content model redesign and a moratorium on migrating any subsite without an editorial owner who could justify its existence. Roughly a third of the original subsites didn't survive that filter, and the project finished faster as a result.
The second was a deferred design system. The institution chose to ship the platform first and address the component library "in phase two."
Authors immediately reproduced the legacy chaos in the new system. Brand consistency was no better at month nine than at month zero.
The fix was to halt new subsite onboarding until the design system shipped, then resume. The lost time was costly. The lesson, which we now insist on with new clients, is simple: design system and component library ship in phase one, before any subsite is onboarded.
A third pattern is worth flagging, though it didn't kill any project: underinvestment in editor training. Drupal 11 is much more author-friendly than its predecessors. But "more friendly" isn't "self-explanatory" for a 200-person editorial pool. Budget at least 40 hours of role-specific training per editorial cohort, and don't let anyone tell you authors will figure it out.
A Five-Question Diagnostic for Your Own Campus
If you're trying to decide whether to begin a replatforming program in 2026, the questions below narrow the decision faster than any RFP can. They're the same diagnostic we run informally before any first conversation with a campus.
- Is your accessibility posture defensible to general counsel for the next 18 to 24 months on the current platform? If the honest answer is no, replatforming isn't optional. Only the timeline is.
- Can you produce an authoritative inventory of your subsites, their owners, and their last meaningful update? If not, governance is your real constraint, and platform choice depends on fixing it first.
- Is your program, faculty, and course content structured well enough that an AI assistant could answer questions about your institution accurately by reading it? If not, structured content modeling is the prize. The CMS is just the means of getting there.
- Do you have, or can you charter, a steering committee with real authority to make architectural decisions on a 14-day cycle? If not, fix that before the RFP, not after.
- Is your five-year TCO model honest about integration, customization, and exit costs, not just licensing? If not, the platform comparison you're running will mislead you.
If three or more of those answers feel uncomfortable, the replatforming conversation on your campus is overdue.
The Pattern Behind the Pattern
The institutions that succeeded with Drupal in 2026 made governance decisions before technical ones. They used the DOJ extension as additional runway, not as an excuse to delay.
And they treated replatforming not as an IT project, but as a content, governance, and brand project that happened to involve software.
The campuses that succeeded got that order right. The campuses that struggled got it backwards. If there's one thing worth taking from twelve engagements and three failed-then-rescued projects, it's that order.
Frequently Asked Questions
When is the DOJ Title II web accessibility deadline for public universities?
Public universities serving 50,000 or more people must comply with WCAG 2.1 AA by April 26, 2027. Universities serving fewer than 50,000 have until April 26, 2028. These deadlines were extended on April 20, 2026 from the original 2026 and 2027 dates. The technical standard (WCAG 2.1 AA) hasn't changed.
How long does a Drupal replatforming project take for a university?
Typical timelines run 9 to 26 months depending on scope, with a median of 14 months for a full institutional rollout. The biggest variable is governance decision latency, not engineering complexity.
Should we choose Drupal 10 or Drupal 11?
Start with Drupal 11. It was released in August 2024 and is production-ready. Drupal 10 reaches end of life on December 9, 2026, when Drupal 12 is released. The upgrade path between modern Drupal versions is incremental, not disruptive.
How does Drupal compare to WordPress for higher education?
WordPress is generally faster to launch for small, marketing-led sites with simple content models. Drupal pulls ahead at scale. Structured content, multisite governance, SSO and identity integration, fine-grained editorial workflows, and accessibility tooling are stronger out of the box. For institutions with 100 or more subsites and federated governance, the gap is substantial.
Should we use decoupled (headless) Drupal?
Decoupled Drupal is the right answer when content needs to appear across multiple channels (web, mobile apps, kiosks, partner portals, AI agents) or when front-end performance is a strategic priority. It's the wrong answer when the only goal is a faster homepage. Roughly a quarter of higher-ed institutions we work with benefit from a decoupled architecture.
How do we make our content AI-discoverable during replatforming?
Model content as structured entities with typed fields (programs, faculty, courses, events) rather than free-form pages. Expose the model via JSON:API. Implement schema.org structured data at the template layer. Maintain stable URLs and canonical identifiers. The platform produces the right artifacts as a byproduct of correct content modeling.
