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About Elicit
Elicit is an AI research assistant that helps researchers find relevant academic papers, extract key information, and synthesize findings. It uses language models to read and understand research papers, then answers questions, summarizes findings, and identifies patterns across studies. Elicit is widely used in academia and industry for systematic reviews, literature reviews, and evidence synthesis.
Updated 6/24/2026
Key Features
- AI Literature Search — Find relevant papers across PubMed, Semantic Scholar, arXiv, and other databases
- Smart Extraction — AI extracts key information from papers: methods, findings, sample sizes, and conclusions
- Research Synthesis — Summarize findings across multiple papers; identify patterns, contradictions, and gaps
- Custom Research Questions — Ask any research question and Elicit finds relevant evidence across the literature
- Data Extraction Tables — Automatically extract and organize data from papers into structured tables
- Quality Assessment — AI evaluates study quality and flags potential biases or limitations
- Collaboration — Share research projects, findings, and collections with team members
- API and Integrations — Integrate with Zotero, Mendeley, and other reference managers
Pricing Structure
- Free — $0/month — 5,000 credits/year, basic search and extraction, standard models.
- Plus — $10/month — Unlimited credits, advanced extraction, priority processing, team features.
- Enterprise — Contact sales — Custom models, dedicated support, institutional access, SLA.
Why People Use It
Elicit is purpose-built for academic research, and it shows. The data extraction and synthesis features go far beyond what general-purpose AI tools can do for literature reviews. For anyone conducting systematic reviews, meta-analyses, or evidence-based research, Elicit dramatically accelerates the most time-consuming part of the research process.
See Elicit in Action
