October 28, 2026•Ilyssa Levins-Pimienta

Your Copywriters Weren’t Hired to Annotate

Frustrated pharma copywriter reviewing a document instead of doing creative work.

They were hired to create.

The hidden cost of getting content MLR-ready

Healthcare agencies hire talented copywriters to turn complex science into clear, compelling communications. Yet those same writers often spend hours on a different assignment: preparing annotations for Medical, Legal and Regulatory (MLR) review. Finding claims that need substantiation. Tracking down references. Marking assets. Connecting each claim to its supporting evidence. Then repeating the process across an entire document.

Every MLR submission needs a clear path from each claim to the evidence that supports it. Annotations are necessary. Tedious manual work isn’t.

Creative talent, consumed by production work

The burden extends beyond an inconvenient task on a copywriter’s to-do list. Every hour spent manually annotating is an hour unavailable for developing ideas, refining messaging or responding to client needs. For agency leadership, that represents an opportunity to use skilled resources more productively. For heads of copy, it means giving writers more time to write. For account teams and editors, it can mean a more responsive delivery process.

The goal is not to skip annotation or reduce the rigor of MLR review. It is to automate the repetitive preparation that comes before it.

Three jobs. One automated solution.

SecureCHEK AI AutoAnnotate^SM brings the essential claim-to-evidence steps together in one workflow. SecureCHEK AI automatically:

Identifies Claim. Identifies the claims in your content that require substantiation and locates the relevant supporting evidence.
Links Reference. Connects each claim to the correct supporting reference from your approved library.
Anchors and Annotates Evidence. Anchors the annotation directly to the exact supporting passage and captures a clear, traceable path from claim to evidence.

AutoAnnotate then generates a downloadable annotated PDF, ready for the team’s final checks before MLR submission. Users can review the connections and apply their judgment where needed.

Why this requires more than generic AI

Pharmaceutical annotation is not simply a matter of generating hyperlinks. MLR reviewers need to know exactly what evidence supports a claim and where to find it. Accuracy, source traceability and reliability are critical, making annotation a more demanding task than a simple homegrown AI shortcut might suggest.

AutoAnnotate is designed around this claim-to-evidence workflow: identifying claims, connecting supporting sources, anchoring annotations and preserving a clear path for review, with human oversight where it matters. For background on the approved source those connections come from, read what a pharma claims library is.

The benefit extends beyond the copywriter

Freeing copywriters from repetitive annotation work gives them more time to develop clear, accurate healthcare communications. For agency leaders, it creates an opportunity to improve resource utilization. For account teams and editors, it can help accelerate submission preparation and support more responsive client delivery.

There is also a benefit on the receiving end. When MLR reviewers can quickly follow the evidence supporting each claim, there may be fewer avoidable questions, corrections and rounds of back-and-forth. A better-prepared submission gives the entire review process a stronger starting point.

Let writers write. Let teams move faster.

The industry has spent years improving claims management and MLR review. It is time to address the labor-intensive work that happens before submission, too.

Your copywriters weren’t hired to annotate. They were hired to create.

SecureCHEK AI AutoAnnotate. Identify the claim. Link the reference. Anchor and annotate the evidence.

See AutoAnnotate in action

About SecureCHEK AI

SecureCHEK AI is a Software-as-a-Service (SaaS) system that seamlessly integrates with enterprise platforms to enhance MLR efficiency. Purpose-built for pharmaceutical companies, medical device companies, and communication agencies, the software helps MLR reviewers efficiently assess and mitigate compliance risks and reduce comments and re-reviews.