# IRB Protocol Preparation

*/Opportunities/IRB_Protocol_Preparation*

## Opportunity Overview

**Wedge**: The beachhead targets Phase II/III oncology trials at major academic medical centers. These trials possess the most complex protocols, face the highest IRB scrutiny, and incur the costliest delays, making the pain point acute and verifiable. Once the system owns oncology protocols, it expands laterally into all therapeutic areas, and subsequently downstream into generating Informed Consent Forms (ICFs) and Clinical Study Reports (CSRs).
**Timing**: LLMs with massive context windows can now ingest hundreds of pages of source material, such as full grant applications and previous literature, while strictly adhering to complex institutional templates without hallucinating ethical parameters.
**Why This I C P**: Clinical Research Organizations (CROs) and academic medical centers face severe financial penalties for delayed trial starts. They are motivated early-movers because IRB approval is the critical bottleneck between securing funding and initiating patient enrollment.
**Size Of Prize**: There are approximately 40,000 clinical research departments, academic medical centers, and CROs actively managing trials in the US and Europe. At an annual subscription of $15,000 per department for automated medical writing and protocol generation, the addressable prize is roughly $600M.
**Gap Narrative**: Clinical researchers and regulatory affairs teams spend weeks manually translating study designs into dense, repetitive Institutional Review Board (IRB) protocols. Existing eIRB systems manage document submission but offer zero support for the actual authoring of interdependent scientific, statistical, and ethical justifications. The market lacks an authoring engine that ingests grant proposals and investigator brochures to output submission-ready protocol packages.
**Defensibility**: Defensibility builds through institutional preference capture and workflow lock-in. As the agent processes initial drafts and ingests subsequent IRB stipulations and required revisions, it learns the unwritten, highly specific preferences of individual review boards. This creates a proprietary feedback loop where the system generates increasingly first-pass-approved protocols that competitors cannot easily replicate.
**Why This Thesis**: An Agentic Service-as-Software approach fits perfectly because protocol preparation is fundamentally a structured drafting and cross-referencing task rather than a data-storage problem. The agent replaces expensive medical writing labor by generating the first draft directly from source inputs.

## Opportunity Linked Thesis

**Thesis**: [Service-as-Software](/Theses/Service-as-Software)

## Opportunity Linked I C P

**Icp**: [Clinical Research Organization](/CompanyTypes/Clinical_Research_Organization)

## Opportunity Market Sizing

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**S A M**: ~$600M - $1B addressing North American and European mid-market to enterprise CROs
**S O M**: ~$20M - $50M
**T A M**: ~5,000 global clinical research organizations and trial sponsors × ~$400k/yr average protocol writing and IRB submission spend ≈ $2B
**Growth Rate**: ~8-12%/yr, driven by increasing global clinical trial volume and stricter regulatory documentation requirements
**Paid Comparable Spend**: ~$10,000 - $25,000 per protocol in dedicated medical writing labor, internal regulatory affairs time, and external consulting fees

## Opportunity Incumbents

- [Huron Research Suite](/Products/Huron_Research_Suite) — Tool
- [Cayuse Human Ethics](/Products/Cayuse_Human_Ethics) — Tool
- [Protocol Builder](/Products/Protocol_Builder) — Tool
- [Microsoft Word Templates](/Products/Microsoft_Word_Templates) — DIY
- [WCG Clinical Services](/Products/WCG_Clinical_Services) — Service
- [Freelance Medical Writers](/Products/Freelance_Medical_Writers) — Service

## Opportunity Win Conditions

**Kill Thresholds**:
- Post-generation human editing time exceeds 15 hours per protocol
- IRB rejection rate on generated submissions exceeds 25 percent
- Enterprise pilot conversion rate falls below 20 percent after 90 days
- Customer acquisition cost exceeds $12,000 for mid-market CROs
**Leading Metrics**:
- Time-to-first-draft generation from source data ingestion
- Manual character edit distance per generated protocol section
- IRB first-pass acceptance rate without formatting revisions
- Volume of human-in-the-loop regulatory consultant escalations
**What Proves Right**: Medical writers and regulatory affairs teams generate complete draft IRB protocols from source trial data within 4 hours, replacing the standard 3-week manual drafting process. Mid-market CRO cohorts process at least 50 percent of their new study protocols through the system, achieving first-pass IRB approval with fewer than two revision cycles. Customers execute $5,000 per-protocol contracts without requiring bespoke professional services or integration consulting.
**What Proves Wrong**: The generated protocols require extensive manual rewriting by senior regulatory consultants to meet specific regional IRB formatting nuances, eliminating the targeted labor cost savings. Users abandon the tool and revert to Microsoft Word templates because the generation logic fails to map complex multi-arm adaptive trial designs accurately. The rate of manual section overrides exceeds 40 percent, demonstrating the system lacks the clinical rigor required for regulatory submission.

## Opportunity Build Profile

**Hardest Part**: Maintaining absolute factual consistency across long-form documents, such as perfectly aligning cohort sizes in the statistical plan with recruitment limits in the ethics section, without hallucinating study procedures absent from the source materials.
**Min Viable Scope**: Support only single-site, minimal-risk retrospective chart review studies. Explicitly leave out multi-site interventional clinical trials, FDA Investigational New Drug applications, and automated patient consent form generation.
**Cold Start Problem**: The system lacks a corpus of institution-specific approved protocols and historical reviewer feedback to learn local IRB idiosyncrasies. Break this by partnering directly with two or three academic research coordinators to ingest their historical approved submissions and rejection logs as the baseline.
**Time To First Value**: Under 1 hour to generate a complete first draft, gated only by the upload and parsing of the source grant and study methodology documents.
**Data Moat Available**: true
**Technical Difficulty**: High

## Neighborhood

### Where the gap lives

- [Faculty Researchers](/Occupations/Faculty_Researchers) — latent gap · Occupations

### Incumbent in

- [WCG Clinical Services](/Products/WCG_Clinical_Services) — incumbent in · Products
- [Microsoft Word Templates](/Products/Microsoft_Word_Templates) — incumbent in · Products
- [Protocol Builder](/Products/Protocol_Builder) — incumbent in · Products
- [Cayuse Human Ethics](/Products/Cayuse_Human_Ethics) — incumbent in · Products
- [Freelance Medical Writers](/Products/Freelance_Medical_Writers) — incumbent in · Products
- [Huron Research Suite](/Products/Huron_Research_Suite) — incumbent in · Products

### Applies thesis

- [Clinical Research Organization](/CompanyTypes/Clinical_Research_Organization) — applies thesis · CompanyTypes

### Embodies

- [Service-as-Software](/Theses/Service-as-Software) — embodies · Theses

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