Key takeaways
- A claims library is the foundation everything else sits on — modular content, MLR prechecks and grounded AI all inherit its quality. Get it right and content assembles itself; let it decay and every derivative inherits the rot.
- A claim is not a sentence. It travels with its evidence, references, formatted cite text and footnotes — bonded together the way atoms form a molecule. Store any of it separately and the claim can no longer be substantiated.
- Claims libraries decay for consistent reasons: built by hand as a one-time project, never maintained, scoped globally where claims live per market, and disconnected from the system of record so they drift.
- Hold the set of approved variants of a claim, not one canonical sentence — because that is how approved content behaves in reality, and knowing all the variants is what makes finding, matching and mass-updating possible.
- The library already exists inside your approved content in Veeva Vault PromoMats. Extraction inverts the cost of building it and keeps it in lockstep with Veeva — so the library that was too expensive to maintain by hand can keep itself current.
Every ambition in pharma content operations rests on the same foundation. A modular content program is an assembly line with no parts if there is nothing approved to assemble. An MLR precheck has nothing to check against. A grounded AI has nothing to be grounded in. Underneath all of it sits one asset: a library of approved claims. Get it right and content assembles itself; let it decay and everything built on top inherits the rot.
Yet the claims library is the piece most organisations never quite finish. This article covers what a claims library actually is, what belongs in it, why so many of them quietly rot, and how to build one that stays current — the way the best modular content and MLR programs already do. If you want the wider operating model first, start with our modular content strategy guide; this piece goes one layer deeper, to the foundation everything else stands on.
What a claims library actually is
A claims library is a governed, structured collection of a brand’s approved promotional claims — each held as data, with its supporting evidence, references and formatted cite text, footnotes, market and audience context, and its approval status. It is not a folder of approved PDFs, and it is not a spreadsheet of sentences. It is the set of things a brand is permitted to say, held in a form you can search, govern and reuse.
The distinction that matters most: a claim is not a sentence. A clinical claim never travels alone. It is bonded to the evidence that substantiates it, the references that support it, the cite text that formats those references, and the footnotes and qualifying statements that condition it — bonded the way atoms are bonded into a molecule. Separate the parts and the compound no longer exists: a claim without its evidence and referencing is not an approved claim, it is a liability. A real claims library keeps the whole molecule together.
What belongs in a claim
Treat each entry as a structured unit, not a line of text. The anatomy we recommend:
| Component | What it is |
|---|---|
| Claim header | The core approved statement |
| Supporting evidence | Approved copy and visuals — study summaries, charts, tables — that substantiate or contextualise the claim |
| References + cite text | Links to the underlying references, with correctly formatted, market-standard citation text |
| Footnotes | Cited and non-cited footnotes, abbreviation expansions and qualifiers attached to the claim |
| Market & audience context | Where and to whom the claim is approved — market, channel, HCP vs. patient |
| Approval status & lifecycle | The current approval state and a link to the source document it came from |
| Approved variants | The set of sanctioned wordings that legitimately exist for the same claim in a market |
That last row is the one teams most often get wrong, so it is worth its own section.
Hold the variants, not a single canonical sentence
The instinct when building a library is to reduce each requirement to one perfect, canonical sentence. Reality does not work that way. The same adverse-event reporting statement appears in several sanctioned wordings; a benefit claim is framed differently for different audiences, always from approved language, never beyond it. Each of those variants is valid, each is traceable, and each is genuinely in use across the estate.
A library that stores only one version cannot find the others when a reference is superseded, cannot match a draft that legitimately uses a different approved wording, and cannot mass-update across the real portfolio. Knowing the full set of approved variants is precisely what makes a claims library usable rather than aspirational.
Why claims libraries decay
The idea of a claims library is not new, and it is not what fails. What fails is keeping it alive. The reasons are remarkably consistent across organisations:
| Why it decays | The symptom | What prevents it |
|---|---|---|
| Built by hand as a one-time project | Budget burns on manual harvesting; the library is never truly finished | Extraction from already-approved content instead of manual authoring |
| No maintenance process | Labels change and references get superseded, but nothing propagates | Lifecycle wired to the system of record so updates flow automatically |
| Scoped globally | A global English library is of little use to a brand team in Japan or Brazil | Govern at market and brand level, where compliance actually operates |
| One canonical wording assumed | Real approved variants cannot be found, matched or updated | Hold the full set of approved variants per market |
| Disconnected from the source of truth | The library becomes a parallel record that drifts from Veeva | Derive from Veeva Vault PromoMats; never compete with it |
Every one of these ends the same way. Authors try the library, find it stale or incomplete, stop trusting it, and go back to briefing an agency from scratch. An untrusted library is a dead library — and a dead claims library takes modular content, precheck and AI down with it.
Maintenance is a versioning problem
The hardest part of a claims library is not building it — it is the day after. When a reference is superseded or a claim is retired, every asset in the field that used it is affected. That is not a content problem; it is a versioning and traceability problem, and it has to be designed rather than improvised. Which assets, markets and channels does this claim live in? If this reference changes, what exactly is impacted, and how does the change propagate without a project per file?
A library that can answer those questions turns a superseded reference from a fire drill into a query. A library that cannot answer them decays a little more with every label update, until no one trusts it.
Build it from what you already own
Here is the observation that changes the economics: the library already exists. Every approved claim, reference and mandatory statement a brand needs has already been written, reviewed and approved — thousands of times over — inside the documents sitting in Veeva Vault PromoMats. It is simply stored in the wrong form: locked inside flat, final-format renditions rather than held as structured data.
That reframes the whole build. The reason claims libraries were always too expensive was the assumption that a team had to author one by hand. If instead you extract the library from content that is already approved — classifying claims, grouping them with their evidence, resolving references and cite text, each element carrying provenance back to its source Veeva document — the cost of building and, crucially, maintaining the library largely disappears. New approvals flow in automatically; expired documents retract their derived claims. The library that was too expensive to build by hand can finally build itself, at market level, and keep itself current.
Two properties make this safe. Veeva Vault PromoMats remains the single source of truth — the claims library holds knowledge derived from approved documents, never a competing record of approval. And a human stays in the loop wherever judgement is required, curating exceptions and confirming matches. Self-building is not self-governing; it simply shifts the work from assembling a library to exercising judgement over one.
Claims library, modular content, MLR — how they fit
These three are often discussed separately, but they are one stack. The claims library is the knowledge layer — the approved claims and their relationships. Modular content is how you assemble that knowledge into finished assets for each channel. And the MLR precheck is how you validate a draft against it — showing reviewers what already matches approved claims, what partially matches, and what is genuinely new.
Read that way, the dependency is obvious: modules are only as trustworthy as the claims beneath them, and a precheck is only as good as the library it checks against. Invest in the foundation and the two layers above it get stronger for free. Skip it, and no amount of tooling on top will hold.
How to start
- Define the claim model. Agree the anatomy above — claim, evidence, references, cite-text standard, footnotes, market context, variant handling — before you create claim number one.
- Extract, don’t author. Seed the library from your best, most recently approved assets per market — the local “bible of claims” each market already has — rather than harvesting by hand.
- Connect it to the source of truth. Derive from Veeva Vault PromoMats and wire the lifecycle so approvals populate the library and expiries retract from it.
- Put it to work. Feed it into authoring (templates pre-populated with approved claims) and into MLR precheck. A library no one uses is worthless, however clean.
- Measure freshness. Track the share of claims current versus superseded. Freshness is the metric that tells you whether the library is alive or quietly dying.
Frequently asked questions
What is a claims library in pharma?
A claims library is a governed, structured collection of a brand’s approved promotional claims. Each claim is held as data with its supporting evidence, references and formatted cite text, footnotes, market and audience context, and its approval status — everything MLR needs to clear it — not as a folder of PDFs or a list of sentences.
What is the difference between a claims library and modular content?
The claims library is the knowledge layer — the approved claims and their relationships. Modular content is how you assemble that knowledge into finished assets (email, CLM, web). You cannot have reliable modular content without a claims library underneath it; the modules are only as trustworthy as the claims they are built from.
Why do claims libraries fail or decay?
Most are built by hand as a one-time project, then never maintained. Labels change, new data reads out and references get superseded, but nothing propagates; libraries are built globally while claims are enforced per market; and they drift out of sync with the system of record. An untrusted library is a dead library — authors stop using it.
How do you keep a claims library up to date?
Connect it to the system of record — Veeva Vault PromoMats — and wire the content lifecycle so that when a source document is approved its claims flow in, and when it expires the derived claims are flagged and retracted. Extraction keeps the library building itself from newly approved content, so it stays current without manual re-harvesting.
Sources: Shaman extraction data across brands and markets; Shaman implementations on Veeva Vault PromoMats; and our companion pieces on the MLR Knowledge Engine and modular content strategy.
Maurice has spent the past decade making content authoring solutions a reality in pharma — helping large life sciences organisations embed CAS platforms and workflows into their daily content operations, and partnering with Veeva, agencies of record and content-production consultancies to advance the field. Connect on LinkedIn.
