Elicit is an AI research assistant built for scientific literature — it searches across millions of academic papers, extracts structured data from their methods and findings, and helps researchers synthesize evidence across studies. Unlike general search, Elicit understands research questions and can find papers that address your question even when they don't use your exact keywords. The extraction features pull specific data points (sample size, study design, effect sizes) from papers into organized tables for comparison.

The evidence synthesis workflow is where Elicit truly shines. Rather than reading 50 papers to understand the state of evidence on a question, you can use Elicit to build a structured evidence table — comparing interventions, populations, outcomes, and conclusions across dozens of studies in a fraction of the manual time. This is transformative for systematic review work, grant writing, and evidence-based decision making in research contexts.

Elicit's coverage skews toward biomedical and social science research, with strong representation of papers indexed in Semantic Scholar. Coverage of humanities, legal scholarship, and highly specialized technical domains is less comprehensive. The AI extraction is impressive but not infallible — always spot-check extracted data points against the original papers for systematic reviews or critical decisions. A paid plan significantly expands the features and scale available.

🐱 SAGE SAYS

Elicit is the research assistant that turns a week of literature review into an afternoon. Use it to find and triage papers fast — but the interpretation and synthesis judgment still belongs to you.

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