LISTED PROFILE
Elicit
Elicit is a web-based AI research assistant designed to automate academic literature discovery, paper summarization, and data extraction. By searching an indexed database of over 138 million academic papers, Elicit enables researchers to generate literature summaries with sentence-level citations, build custom extraction tables, and run systematic review screening workflows across thousands of studies.Read full overviewCollapse overview
Elicit is a web-based AI research assistant designed to automate academic literature discovery, paper summarization, and data extraction. By searching an indexed database of over 138 million academic papers, Elicit enables researchers to generate literature summaries with sentence-level citations, build custom extraction tables, and run systematic review screening workflows across thousands of studies.
Last checked2026-09-21
01 — OUR TAKE
Who and what it suits
Developed by Elicit Research, PBC, Elicit positions itself as an automated workflow platform for academic literature analysis and systematic reviews. The service offers a free Basic tier alongside paid Pro, Scale, and Enterprise plans. While the official platform provides powerful semantic paper search and structured extraction capabilities, its automated screening accuracy and performance claim metrics remain vendor-reported rather than independently validated. Users should also note that its privacy policy specifies U.S.-based data storage, with default non-training protections explicitly reserved for Enterprise accounts.
Best for
- Academic researchers and graduate students needing cited literature summaries
- Research teams running systematic reviews requiring large-scale paper screening
- Analysts extracting structured metadata and custom data points into comparative tables
Not ideal for
- Users looking for general web search or non-academic content retrieval
- Researchers who require a native desktop or mobile application
- Budget-constrained users needing full PDF uploads without upgrading to paid tiers
What stands out
- Sentence-level citations that directly link generated claims to source text
- Automated systematic review workflow capable of screening large paper sets
- Customizable data extraction tables supporting CSV export and Zotero integration
What to consider
- Vendor claims regarding paper coverage scale and systematic review accuracy lack independent verification
- Default data privacy rules do not explicitly guarantee no model training on free or lower-tier accounts
- Advanced paper upload, export formats, and high-volume extraction tools are gated behind paid subscription tiers
- Search database coverage may occasionally miss very recent preprints or non-indexed publications