Same model, different domain
Harvey proved the thesis the whole industry now copies: take a regulated, document-heavy profession, build AI agents that know its rules, and make every output cite its source. Their April 2026 release added sentence-level citations and risk flagging — the exact feature regulated buyers demand. Regfo runs the same playbook for FDA submissions instead of legal matters. So this is less "which one wins" and more "Harvey for law, Regfo for the IND." A biotech team will not run their preclinical gap analysis inside a legal-research tool.
Regfo
The Harvey model — vertical agents plus citations — applied to ICH/FDA regulatory science.
Harvey
The benchmark for AI in law. If your problem is legal work, Harvey is the answer.
Regulatory depth on IND work
Harvey can research regulatory and compliance questions across domains, and it does it well. What it does not do is take your toxicology report and tell you that the hERG assay was not run under GLP, or that your repeat-dose duration falls short of ICH M3(R2) for your planned trial length. Regfo parses 24 ICH guidelines into a rule engine and checks the actual study package against them, returning a gap with the paragraph that triggered it. That is a different job than answering a legal question, even a regulatory one.
Regfo
Paragraph-level findings tied to the specific ICH/FDA rule, 46 data points extracted per study.
Harvey
Strong on legal/regulatory reasoning; not built to audit a preclinical package.
Pricing and who can start
Harvey is priced for firms and large enterprises — the model assumes high document volumes and a contract. That is the right shape for an AmLaw 100 buyer. It is the wrong shape for a ten-person biotech filing its first IND. Regfo lists every tier publicly, starts free, and tops out at $999/mo. You can test it this afternoon without procurement, which is the whole point at Series A.
Regfo
Free ($0), Pro ($399/mo), Team ($999/mo). 20% off annual. No setup fees, no implementation contracts.
Harvey
Enterprise, quote-driven. Built for firm-scale budgets, not self-serve.