Every claim checked. Every reference cited. In a fraction of the time.
The MLR Review Digital Worker takes a piece of promotional content, extracts every medical claim, checks each one against your approved clinical evidence and regulatory guidelines, clears the clear-cut cases automatically, and escalates only the genuinely ambiguous ones to your medical, legal and regulatory reviewers - with a full audit trail behind every decision.
Live in production with Syneos Health
MLR review is the bottleneck between great content and the market
Every claim must be substantiated - and that is slow
In pharma, no promotional asset reaches the field without medical, legal and regulatory sign-off, and every claim must be accurate and supportable against approved evidence. Coordinating that review across marketing, medical affairs, legal and regulatory is slow, sequentially dependent, and prone to inconsistency depending on who happens to review it. Industry data puts the average time to bring new content to market at around three weeks.
Reviewers are a bottleneck by design
Highly skilled MLR experts are tapped late in the cycle, with stagnant or shrinking headcount and rising content volume. Much of what they review is clear-cut and low-risk, but it still consumes their capacity - so the genuinely ambiguous, high-risk claims wait in the same queue as the trivial ones.
Inconsistency and audit risk
When review depends on who is available and what they remember, two reviewers can reach different conclusions on the same claim, and there is no easy way to demonstrate what was checked, against what evidence, and by whom. The cost of getting it wrong is real: misleading-claim findings, warning letters, penalties and reputational damage.
What Does This Digital Worker Do?
Faster, more consistent reviews
The Worker extracts claims from the creative, cross-references them against clinical studies and regulatory sources, and resolves the clear-cut cases automatically. What previously required days of back-and-forth across marketing, medical, legal and regulatory completes in a fraction of the time.
Reviewers see ambiguous cases
Instead of working through redundant, low-risk material, your MLR experts are escalated only the claims that actually need a human judgement call - with the relevant evidence already gathered and presented.
Every decision is auditable
Each claim is linked to the approved reference that substantiates it, and every decision is logged. When a regulator or an internal reviewer questions a piece, the complete trail is already there.
hidden gap
Submit the creative. Get clear-cut claims cleared and hard cases escalated.
- The MLR Review Digital Worker is built for the review function, not for engineers.
- It reads the content the way a reviewer would, but exhaustively and consistently - checking every claim against approved evidence, resolving what it safely can, and surfacing the rest for human judgement with everything a reviewer needs already in hand.
Plugged into the content and evidence stack you already run
Illustrative Coverage:
- The promotional creative under review (the asset itself)
- Approved claim library and core-claims store
- Clinical study library and approved references
- Product label / prescribing information
- Regulatory guidance and standards (e.g. FDA, EMA fair-balance requirements)
- Promotional content management systems (e.g. Veeva Vault PromoMats)
Built for the people who gate promotional content
- Medical, legal and regulatory reviewers - who want to spend their expertise on the ambiguous, high-risk claims - not on clearing the obvious ones.
- Promotional review committees - running the formal MLR sign-off process and accountable for the audit trail.
- Brand and marketing operations - trying to move compliant content to market without the review queue capping their velocity.
- Agencies and content studios - producing creative that needs to clear MLR first time, more often.
- CROs and commercialization partners - delivering compliant content review for biopharma clients at scale.
Built on the core capabilities of the causaLens Digital Worker platform
The MLR Review Digital Worker is a multi-agent system, governed end-to-end by the capabilities that underpin every causaLens Digital Worker. In a process where the cost of an error is a warning letter, reliability is the whole point.
The Multi-Agent Workflow:
The capability that separates causaLens Digital Workers from copilots. Human-in-the-loop gates pause the workflow for reviewer sign-off where regulation requires it - a hard part of the process, not a nice-to-have. In-loop LLM judges validate that the claim-to-evidence match is accurate and grounded in the actual reference and asset, rather than asserted. Provenance tracking wraps every decision so the full chain can be audited.
Integrations:
- Content, claim-library and evidence sources
- Promotional content management systems (e.g. Veeva Vault PromoMats), integrated via the Agentic Data Mesh
- Your approved large language model - we are model-agnostic and bring-your-own-LLM
- Deployment on causaLens cloud, your private cloud, or fully on-premise
What It Replaces & Reduces:
- Days of sequential back-and-forth across marketing, medical, legal and regulatory
- Reviewer time spent clearing clear-cut, low-risk claims
- Manual hunting for the reference that substantiates a given claim
- Inconsistent, reviewer-dependent outcomes and gaps in the audit trail
Common questions, answered
No. It clears the genuinely clear-cut cases and escalates everything ambiguous to your medical, legal and regulatory reviewers, with the evidence assembled. Human-in-the-loop sign-off is a hard gate in the workflow wherever regulation requires human oversight - the Worker accelerates the review, it does not replace the accountable reviewer.
Every claim is linked to the specific approved reference that substantiates it, and an in-loop LLM judge validates that the match is accurate and grounded in the actual reference and asset rather than asserted. Anything that isn’t a clean match is escalated, not cleared.
PromoMats and similar systems route the review, hold versions and maintain the audit trail. They don’t perform the substantive, claim-by-claim check against your evidence. This Worker does that checking and feeds the result into the content workflow you already use.
Yes. We deploy on causaLens cloud, your private cloud, or fully on-premise. The Worker is model-agnostic - use our default model, or bring your own approved LLM. Your data never leaves your environment unless you choose otherwise.
Our internal benchmarks show precision and accuracy over 90% on known examples. On our reference pre-launch workflow (the Syneos DALi project), precision, accuracy and recall were all under 20% before the Reliability Framework was applied; with the in-loop and out-of-loop validation that gates this Worker, all three are north of 80%, with precision and accuracy over 90%. The benchmark suite runs against every release and the methodology is shared during deployment.
Typical timeline: an MVP in two to three weeks against a small, high-value scope, followed by a production deployment scoped to your data, security and integration requirements. A dedicated causaLens AI engineer builds and runs the Worker; a causaLens value engineer owns project success.
Medical, legal and regulatory reviewers, promotional review committees, and brand/marketing operations - plus agencies and CROs producing or reviewing creative. No engineering or data-science background required.
Production-grade, not prototype
Versus the manual MLR queue
Clear-cut claims are cleared automatically and reviewers see only the genuinely ambiguous ones, with the evidence already assembled. The mechanical work that makes review slow and inconsistent is absorbed, while human judgement stays exactly where regulation requires it.
Versus generic LLM tools
A generic model will happily assert that a claim is substantiated without grounding it in the actual approved reference - exactly the failure you cannot afford in MLR. This Worker links each claim to its specific evidence, validates the match with in-loop judges, and logs every decision. It is auditable, not improvised.
Versus content management workflow alone
Systems such as Veeva Vault PromoMats track and route the review and hold the audit trail; they don’t do the substantive claim-by-claim checking for you. This Worker performs that check and feeds the result into the workflow you already run.
The Reliability Framework
Human-in-the-loop gates, in-loop judges, provenance tracking and benchmark-first development. This is the layer that makes an MLR automation defensible to your regulatory function and to an inspector - trusted because every decision is checked and traceable.