AI medical writing software compared: CSRs, protocols, consent forms
A clinical study report is mostly tables, and a protocol is mostly structure. AI medical writing tools exploit that. They read the source data and the template, then draft text a medical writer reviews. They differ on which documents they cover, where the writer works and how they show where each number came from.
This page compares ten products by what each vendor says on its own site in November 2026. Arca is one of them.
What the guidance fixes
Two documents shape most of the work.
- ICH E3 sets the structure of a clinical study report in sixteen sections, so a single core report suits all ICH regions. The current version is dated 30 November 1995.
- ICH E6(R3) is the good clinical practice guideline. It reached Step 4 on 14 January 2025 and FDA issued it as final guidance in September 2025. Annex 1 describes what a protocol and an investigator's brochure contain. See ICH E6(R3).
ICH M11 adds a structured protocol template, adopted at Step 4 on 19 November 2025. FDA issued it as final guidance in May 2026. A tool that drafts protocols should follow that template.
Timing matters too. Under Article 37(4) of the EU Clinical Trials Regulation, a marketing authorisation applicant submits the CSR through CTIS within 30 days of the marketing authorisation being granted, the procedure completing or the application being withdrawn.
What each vendor says
| Vendor | Documents named on its site | Where you work | How it shows sources |
|---|---|---|---|
| Certara CoAuthor | Patient narratives, CSRs, protocols, and more than 275 eCTD templates | Microsoft Word | Says it "references only the source data and text you allow" |
| Weave Bio | CSRs, protocols, IBs, INDs, NDAs and BLAs, briefing books | Weave editor, DOCX export | Sentence-level source tracing and automated verification |
| Peer AI | IND modules through Phase 3 CSRs, protocols, safety narratives, IBs | Peer's cloud or the customer's own AWS | "Every AI output traced back to its source data and reasoning" |
| Bluenote | CSRs, nonclinical reports, IBs, protocols, ICFs, SOPs, briefing books, CMC | Bluenote platform, on-premise option | "Every output is linked to source data" |
| TrialAssure LINK AI | CSRs, protocols, SAPs, narratives, plain language summaries, ICFs | Microsoft Word | Links generated content to the supporting document and passage |
| Yseop | CSRs, narratives, IBs, ICFs, summaries of clinical safety and efficacy | Word and Veeva Vault | "Every sentence is linked to its source" |
| Narrativa | Protocols, SAPs, ICFs, CSRs, clinical overviews | Narrativa platform | Click a data point to see its source table or dataset |
| GenText PharmAssist | Protocols, ICFs, CSRs, SAPs, narratives, safety reports | Microsoft Word add-in | Cites source tables and flags values it cannot find |
| AlphaLife AuroraPrime | CSRs, protocols, ICFs, clinical summaries, nonclinical and CMC sections | Word 365 add-in | Says CSRs have full source traceability |
| Sorcero SciComms | Manuscripts and plain language summaries | Sorcero platform | Verification checks against source |
Three vendors list controls that matter to quality teams. Peer AI says it is SOC 2 and GDPR compliant. Bluenote lists SOC 2 Type II, HIPAA and zero data retention with its model providers. Narrativa lists SOC 2 Type 2, GDPR and Part 11 alignment, and it uses "aligned", not "compliant".
Veeva describes "agentic authoring" in its Falcon suite and says its first Falcon agents for clinical, regulatory and safety are planned for availability in November 2026. It does not list document types on the page checked.
Several vendors state speed gains, such as 50 to 75% faster, 55 to 94% faster or 90% fewer CSR hours. The pages do not say what the figures were measured against, so this page does not repeat them.
What the vendor pages leave out
- Whether the draft needs the writer to check every number. GenText says a value with no flag still needs checking against its source. That is an honest line most vendors skip.
- Which documents. An ICF, an investigator's brochure and a patient narrative are not on every list.
- Where the record lives. After approval, which system holds the final document?
- How speed was measured. Ask for the baseline and the document.
How Arca handles it
Arca is an enterprise agent OS for life sciences. Its built-in Clinical and Nonclinical Document Drafting AOP first-drafts clinical study reports, protocols and amendments, informed consent forms, investigator's brochures, patient narratives and nonclinical study reports from the source data in your library.
- It maps source data and results to each section of the target document, using ICH E3 for CSRs and ICH E6 for protocols.
- It reproduces source tables faithfully, with an inline citation behind every count, rate, outcome and date.
- It leaves a placeholder where the source has no content, and writes a reviewer note where a narrative disagrees with its source listing.
- It never invents subject counts, rates, outcomes or dates.
- It labels the output a first draft for a qualified writer.
The same platform drafts regulatory documents and reads your files in SharePoint, Google Drive or Veeva Vault, and Arca for Word puts the draft in your template with tracked changes.
Where Arca differs from the vendors above: Arca does not sell a managed writing service, and it does not claim a time-saved figure on this page. It fits when the same team needs clinical, regulatory and quality documents drafted from their own records on one platform.
Choosing
Choose CoAuthor, TrialAssure, GenText or AlphaLife if your writers want to stay in Word with a document-specific tool. Choose Weave or Peer AI for an authoring platform built around the dossier or the clinical program. Choose Bluenote if you need an on-premise deployment. Choose Yseop or Narrativa for CSR and narrative generation from tables and listings. Choose Sorcero for manuscripts and lay summaries.
Choose Arca if you want clinical documents drafted alongside regulatory submissions, quality documents and literature research, from your own records, with each value cited. For the submission side, see AI regulatory submission software compared and Weave Bio alternatives.
What to check in any tool
- Can you click from each value to the table or listing it came from?
- What does it do when the source is missing or two sources disagree?
- Does it follow your template and ICH E3 or M11 structure?
- Who reviews the draft, and does the tool record it?
- Are your documents used to train a model?
- Which system holds the final approved document?
- How was the speed claim measured, and on which document?
Frequently asked questions
What is the best AI software for medical writing in pharma?
It depends on the document and where your writers work. CoAuthor, TrialAssure, GenText and AlphaLife run in Word. Weave, Peer AI and Bluenote are platforms. Arca drafts clinical documents from your own records alongside regulatory and quality work.
Can AI write a clinical study report?
AI can draft sections from tables, listings and the protocol, following the ICH E3 structure. A medical writer checks the draft against the source. Arca cites a source behind every value and leaves placeholders for missing data.
Can AI draft a protocol or an informed consent form?
Yes. Several tools list protocols and ICFs. A protocol should follow the ICH M11 template, and a person approves the final text.
Does Arca draft clinical study reports?
Yes. Its clinical and nonclinical drafting AOP drafts CSRs, protocols, ICFs, investigator's brochures, patient narratives and nonclinical reports from source data, with citations and placeholders.