AI software for regulatory affairs in 2026: which job each tool does
· Updated
Software sold as AI for regulatory affairs does different jobs. Some products hold the regulatory record. Some track rule changes. Some draft documents. Some run the quality system. Choose by the job first and the vendor second.
Arca is one of the products compared here. It researches and drafts across regulatory, quality and clinical work, and it works alongside the record system a team already has.
The jobs, and who sells them
The descriptions below are the vendors' own, taken from their sites in November 2026. This is a map of groups, not a ranking. Each vendor listed is an example, not a recommendation.
| Job | What the software does | Examples |
|---|---|---|
| Regulatory record | Holds registrations, submission content and correspondence | Veeva RIM, Ennov, ArisGlobal (alternatives) |
| Regulatory intelligence | Tracks and summarises rules and changes by country | Clarivate Cortellis Regulatory Intelligence, RegASK, RegDesk (alternatives) |
| Drafting from source data | Writes first drafts of submission content | Weave (alternatives), Arca |
| Research and question answering | Answers questions from agency documents and literature | Arca, Cortellis AI Assistant |
| Quality systems | Controls SOPs, CAPA, training and batch records | MasterControl, IQVIA SmartSolve (alternatives) |
| Services with software | People do the work, supported by tools | Celegence, Freyr |
| General assistants | Answer from a model and web search | ChatGPT, Claude, Microsoft Copilot |
Veeva says its RIM product "unifies regulatory systems and processes on a single cloud platform to enable end-to-end submission and registration management." Clarivate describes Cortellis Regulatory Intelligence as expert-curated intelligence across more than 80 markets, with an AI assistant on top. RegASK calls its product an agentic AI regulatory intelligence platform that monitors global changes and assesses their impact.
The regulatory record stays in the record system
FDA requires NDAs, BLAs, ANDAs and commercial INDs to be submitted in eCTD format. The dates were May 5, 2017 for the first three and May 5, 2018 for commercial INDs, under section 745A(a) of the FD&C Act. Building those eCTD sequences, tracking registrations and keeping commitments is the work of a regulatory information management (RIM) system and its publishing tool.
A drafting tool feeds that system. It does not replace it. Weave states the same boundary for its own product: it helps teams "author, review, verify, organize, and export structured content, while submission to health authorities remains within the customer's established publishing process."
The same split decides whether 21 CFR Part 11 applies to an AI tool. The rule attaches to electronic records that a predicate rule requires you to keep. If the approved document is stored, versioned and signed in your document system, that system carries the obligation. If the drafting tool becomes the place where the approved copy lives, it is a system of record and Part 11 applies to it directly.
For the submission lifecycle in detail, see AI regulatory submission software compared.
Drafting, and CMC in particular
Module 3 of the CTD holds the quality information, which is the CMC content. ICH M4Q sets its structure. A Module 3 section is a summary of data that sits elsewhere: specifications, batch analyses, stability results, validation reports. Much of the drafting is finding the right numbers and stating them without drift.
AI for CMC Module 3 authoring compares seven tools on this. That is the test for any drafting tool. It should pull each value from a named source document, and a reviewer should be able to open that document from the sentence. A tool that writes fluent text without that link moves the checking onto the reviewer, who then has to rebuild the evidence by hand.
FDA's January 2025 draft guidance on AI in drug development says it does not address AI used for "operational efficiencies (e.g., internal workflows, resource allocation, drafting/writing a regulatory submission) that do not impact patient safety, drug quality, or the reliability of results." So no FDA document tells you how to qualify a drafting tool. The usual quality-system approach applies: define the intended use, review the output, keep the records, and apply computer software assurance in proportion to risk. The sponsor still answers for the content of the submission.
EMA's reflection paper on AI in the medicinal product lifecycle, adopted by CHMP on 9 September 2024, takes a risk-based and human-centred line.
Regulatory intelligence
Regulatory intelligence answers the question "what does this agency require, and what changed?" Two designs compete.
Curated databases, such as Cortellis, employ people to read agency output and write local summaries. You get breadth across many countries and an expert's reading.
Primary-source search lets an agent read agency documents directly. You get a link to the original text. Currency depends on how often the tool re-indexes each agency, and coverage depends on which agencies it reads. You read the source yourself.
Ask any vendor which countries are covered, how soon a new document appears, and whether a human has checked the summary. For a vendor-by-vendor comparison, see regulatory intelligence software compared.
Quality systems and SOPs
A quality management system is the controlled home of SOPs, CAPA and training records. MasterControl describes its products as a manufacturing execution system and a QMS. AI can draft a first SOP from your template and the governing regulation. It can also read a stack of existing SOPs against a requirement and list the gaps.
AI for pharma quality compared covers SOPs, CAPA, validation and inspection readiness by vendor. As with submissions, the approved copy belongs in the controlled system. A drafting tool earns its place if the draft arrives with citations to the rule and to your own procedures, and if a person on your team approves it.
Promotional review
MLR review checks promotional claims against the label, the clinical evidence and FDA's enforcement record. FDA's Office of Prescription Drug Promotion publishes its untitled letters, which show which claims drew objections. Arca's MLR review checks claims against those letters, the prescribing information, clinical study reports and past campaigns, and routes each flag to the right reviewer. For a comparison of review workflow systems and AI pre-checks, see MLR review software compared.
Three more comparisons cover clinical and device work: AI medical writing software for study reports and protocols, AI for medical affairs for medical information and safety literature, and AI for medical device regulatory work for 510(k) and EU MDR clinical evaluation.
Where Arca fits
Arca is an enterprise agent OS for life sciences, built by Arca Technologies, Inc. in New York. Its agents power everything after drug discovery, including clinical, regulatory, quality, pharmacovigilance, medical affairs and legal. For the work in this guide, they research questions across FDA, EMA, ICH, PubMed and ClinicalTrials.gov. They draft submissions, SOPs, CAPA and validation plans, protocols and clinical reports from a team's own documents in SharePoint, Google Drive or Veeva Vault. Each claim links to its source. A person approves the plan before the agent runs and signs off on the result. Arca is SOC 2 Type II certified. Security evidence is public.
Arca works alongside the record system and the publishing tool a team already has. It reads from Veeva Vault, SharePoint and Google Drive, and it drafts in the team's own templates.
Arca also offers free FDA data tools and a read-only life sciences MCP server. The name is shared with other companies. Arca (arca.inc) is a different company from ARCA AI (arcaai.com, healthcare), ArcaScience (arcascience.ai) and Arca (arcawealth.ai, wealth management).
Questions to ask any vendor
- Can I click from any sentence in the draft to the passage it came from?
- After approval, which system holds the record, and does it have an audit trail?
- What does the tool do when two sources disagree, or when the source is missing?
- Whose servers hold my documents, and are they used to train models?
- Do I see the plan before the tool acts, and who signs off on the output?
- Which agencies does it read, and how current is each one?
- How was it tested? Ask for the tasks and the scoring, not a speed claim. Arca published its own regulatory affairs benchmark: LifeSci Diamond.
Frequently asked questions
What is the best AI software for regulatory affairs?
It depends on the job. A regulatory information management system holds the record. A curated intelligence database covers rule changes by country. A drafting or research agent writes and checks documents from source material. Most teams run more than one.
Can AI write a regulatory submission?
It can draft sections from source documents, and a person has to review and approve them. FDA's January 2025 draft guidance on AI in drug development leaves drafting a submission outside its scope. The sponsor remains responsible for the content.
Does AI replace a RIM system?
No. A RIM system tracks registrations and publishes submissions. A drafting and research tool such as Arca prepares the content that goes into it.
Is there a free AI tool for FDA regulatory research?
Arca offers free search tools for FDA data, including complete response letters, 510(k) clearances, warning letters, inspections and recalls, and a free read-only MCP server for PubMed and public FDA records.