Elicit is an AI-powered research assistant built specifically for systematic literature reviews and evidence synthesis. Researchers and scientists use it to automate the most time-consuming parts of academic research: finding relevant papers, reading them, and extracting structured data.
Elicit searches across 200 million papers from Semantic Scholar and other academic databases, ranks results by semantic relevance (not just keyword matching), and presents the top papers with AI-generated summaries of their key findings, methodologies, and conclusions.
The Data Extraction feature is where Elicit truly shines. Users define custom extraction columns — population studied, intervention used, outcome measured, sample size, effect size, study design — and Elicit reads every paper and fills in the table automatically. What might take a research team weeks to extract manually, Elicit handles in minutes.
Elicit also performs concept mapping across a body of literature, identifying themes, contradictions, and research gaps. Papers can be organized into collections, annotated, and exported to CSV or BibTeX.
Built by Ought, an AI safety nonprofit, Elicit is designed to make evidence-based decision-making faster and more rigorous — whether for academic research, systematic reviews, policy analysis, or clinical evidence synthesis.
Key Features
Semantic search across 200M+ academic papers from Semantic Scholar
AI-generated paper summaries with key findings and methodology
Custom data extraction: define columns and auto-fill across all papers
Systematic literature review automation
Concept mapping to identify research themes, gaps, and contradictions
Paper collections with annotations and tags
Export to CSV and BibTeX formats
Upload your own PDFs for analysis alongside database results
Use Cases
Conducting systematic literature reviews for academic research
Extracting structured data from large sets of research papers
Identifying research gaps in a field of study
Synthesizing evidence for clinical or policy decisions
Finding papers relevant to a specific research question
Comparing study designs, sample sizes, and outcomes across papers
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