Elicit

Elicit is an AI-powered research assistant built to help researchers, students, and analysts search, extract information from, and summarize academic literature far faster than manually reading through dozens of papers one at a time. Given a research question, Elicit searches a large database of academic papers and returns a ranked list of relevant results, then extracts and summarizes key information from each paper directly into a structured table, such as study methodology, sample size, and reported findings, letting a researcher scan and compare many papers' key details at once rather than opening each PDF individually. This table-based extraction is particularly useful for tasks like literature reviews and systematic reviews, where the real work isn't just finding relevant papers but comparing specific structured details across a large set of them, which is exactly the kind of repetitive extraction work that used to consume significant researcher time and is well suited to AI assistance. Elicit's summarization is grounded in the actual text of the papers it references, with citations back to the specific source, which matters for academic and professional research work where claims need to be traceable back to a verifiable source rather than a model's generated best guess. The tool is aimed at academic researchers, graduate students, and professionals in fields like medicine, policy, and the sciences who regularly need to review and synthesize a large volume of published research as part of their work.