Elicit is an AI research assistant designed specifically for academic and scientific workflows. Given a research question, it searches the literature, extracts relevant data from papers (sample sizes, methodologies, key findings, limitations), and organizes everything into structured tables that make cross-study comparison easy. The tool goes beyond simple search by enabling systematic review workflows. You can define extraction columns (e.g., "sample size", "intervention type", "outcome measure"), and Elicit reads through papers to fill in the data automatically. This transforms what would be weeks of manual data extraction into hours. Elicit is built for researchers, PhD students, and R&D professionals who need to engage deeply with scientific literature. It handles the tedious parts of literature review - finding relevant papers, reading abstracts, extracting structured data - so researchers can focus on synthesis and insight.

What the community says

Elicit is consistently cited in r/GradSchool, r/PhD, and r/academia as the go-to tool for systematic reviews and meta-analyses, praised for its ability to automatically extract structured data from research papers into comparison tables. The peer-reviewed-only approach builds trust among academic users who need citation accuracy, and the March 2026 API launch for 138M+ paper searches has excited the developer community. Critics note a limited free tier that restricts heavy usage, and accuracy concerns when handling unconventional or highly domain-specific queries. Some long-time users compare it unfavorably to Consensus for general literature discovery. Based on community discussions from Reddit and academic tool review sites over the past 12 months.