Elicit is an AI research assistant developed by Ought Inc., founded in 2021 and mission-driven toward scalable, reliable scientific reasoning. It automates key steps of systematic literature review — finding relevant papers, extracting structured data from study methods and results, and synthesizing findings across sources — and is primarily used by academic researchers, policy analysts, and evidence-based practitioners who conduct formal literature reviews. Its key differentiator is the structured extraction workflow: Elicit can extract specific columns of data from hundreds of papers simultaneously, including sample sizes, populations, interventions, outcomes, and effect sizes, at a level of accuracy and scale that no manual workflow can match. As of April 2026, Elicit offers 5,000 free credits per month with Plus at $12 per month and Enterprise at custom pricing (Elicit).
Elicit was designed from the ground up for scientific rigor rather than casual research. The Ought team built it with a specific use case in mind: the systematic review, which is the gold standard of evidence synthesis in medicine, public health, and policy but which typically requires 6 to 18 months of researcher time to complete. Elicit compresses the literature search and initial screening phases dramatically, allowing researchers to surface relevant papers across a corpus of 125 million-plus papers, screen abstracts at scale, and extract structured data from full-text papers without reading each one individually.
The result is a tool used by researchers at Stanford, NIH, WHO, and major academic medical centers, as well as by systematic reviewers at policy organizations and evidence synthesis bodies. It is not a consumer-facing research tool in the vein of Perplexity — it is a professional research instrument that saves trained researchers substantial time on high-effort, high-stakes evidence synthesis tasks.
What It Does
Elicit accepts a research question in natural language and queries a corpus of 125 million-plus academic papers to surface the most relevant studies (Elicit). For each paper, Elicit extracts a configurable set of data columns from the abstract or full text, including study design, population, intervention, comparison, outcome, sample size, and key findings. Users can add custom columns for domain-specific extraction needs. Results populate a structured table that can be exported to CSV or copied into systematic review workflows. Elicit also provides a summary synthesis across the retrieved papers, a list of key concepts and terms, and options to screen papers for inclusion and exclusion criteria. A separate “notebooks” feature supports longer-form research synthesis combining multiple paper sets.
Who It’s For
- Academic researchers conducting systematic or scoping reviews in medicine, public health, psychology, and adjacent fields
- Evidence synthesis professionals at Cochrane, Campbell Collaboration, and similar organizations
- Policy analysts at government agencies and NGOs who need rapid evidence reviews to inform decisions
- Clinicians and practitioners in evidence-based medicine who review literature to support clinical decisions
- PhD students and postdocs completing thesis literature reviews and meta-analyses
- Research teams at foundations funding evidence-based interventions who need rapid landscape reviews
Pricing
| Plan | Price | Key Limits |
|---|---|---|
| Free | $0/month | 5,000 credits/month, abstract-level extraction, limited columns per search |
| Plus | $12/month | Expanded credits, full-text extraction, more columns, higher paper limits per search |
| Enterprise | Custom | Unlimited credits, API access, priority support, custom workflows |
Pricing verified at elicit.com/pricing as of 2026-04-14.
Key Features
- Systematic paper search: Query a corpus of 125M+ academic papers with natural language research questions; surface the most relevant papers using semantic search
- Structured data extraction: Extract predefined or custom columns from abstracts and full texts simultaneously — sample size, population, intervention, outcome, effect size, and more
- Abstract and full-text screening: Mark papers for inclusion or exclusion with reasons; track screening status across a team
- Custom extraction columns: Define domain-specific data points for extraction; Elicit applies them consistently across all papers in the set
- Synthesis summaries: AI-generated summaries of findings across the retrieved paper set, with citations
- Research notebooks: Combine multiple paper searches into a structured research document with integrated evidence
- CSV export: Export all extracted data to CSV for integration with systematic review software like Covidence or RevMan
- Citation details: Full bibliographic information for all retrieved papers with DOI links
Limitations
- Requires research expertise to use well: Elicit is most powerful in the hands of researchers who understand systematic review methodology; casual users may not frame research questions precisely enough to get high-quality results
- Not a general-purpose AI search: Elicit is not designed for casual research questions, news, or non-academic topics; Perplexity or Consensus serve those use cases better
- Credit consumption on large reviews: Comprehensive systematic reviews consuming hundreds of papers deplete credits quickly; Plus tier may be needed for any serious review
- Full-text access depends on open access: Elicit can extract from full text only when papers are open access or uploaded; paywalled papers limit extraction to abstracts
- AI extraction errors occur: Structured extraction is accurate at scale but not perfect; individual extraction errors require spot-checking, particularly for quantitative outcomes
- English-language bias: The corpus and extraction quality are strongest for English-language papers; non-English literature coverage is less comprehensive
Bottom Line
Elicit is the best AI research tool for systematic literature review and is used by professional researchers at leading academic and policy institutions worldwide (Elicit). Its structured extraction capability — pulling specific data columns from hundreds of papers simultaneously — is genuinely transformative for evidence synthesis workflows that would otherwise take months. The $12 per month Plus tier is exceptional value for any researcher who conducts literature reviews regularly. For general academic search without the systematic review workflow, Semantic Scholar is free and comprehensive; for research question answering with evidence synthesis, Consensus is the complement.
Best Alternatives
| Tool | Price | Key Difference |
|---|---|---|
| Consensus | $10.99/mo Premium | Research question answering with consensus meter; less structured extraction |
| Semantic Scholar | Free | Comprehensive paper search and discovery; no structured extraction |
| Scite | $20/mo Essential | Smart citation analysis; focuses on citation quality rather than bulk extraction |
| Covidence | $119+/mo | Full systematic review management platform; Elicit is often used as a complement |
FAQ
What is a systematic literature review? A systematic literature review is a rigorous, reproducible method of identifying and synthesizing all relevant research on a specific question. It follows a defined protocol including comprehensive database searches, explicit inclusion/exclusion criteria, structured data extraction, and quality assessment. Systematic reviews are the gold standard of evidence synthesis in medicine, public health, and policy.
How accurate is Elicit’s data extraction? Elicit’s extraction accuracy is high for well-structured quantitative data in abstracts and methods sections, but not perfect. Researchers using Elicit for formal systematic reviews should spot-check a random sample of extractions, particularly for key outcome data. It is accurate enough to replace initial screening passes but not to replace careful human verification of primary outcome data.
Can Elicit access paywalled papers? Elicit can extract data from open-access papers and from papers uploaded directly by the user. For paywalled papers, extraction is limited to the abstract. Researchers with institutional library access can often download PDFs and upload them to Elicit for full-text extraction.
Sources
- Elicit Official Site: Product page, feature documentation, and pricing
- Ought Research: Organization background and mission
Related
- Category: AI Research Tools