Elicit

Elicit is an AI research assistant that automates parts of the literature-review process — helping researchers find relevant papers, extract key information into organized tables, and summarize findings across many studies at once. Built for evidence-based research, it lets you ask a research question, then finds and analyzes relevant papers, pulling out details like methodology, sample size, outcomes and conclusions into a structured table you can scan and compare, turning weeks of literature review into a far faster process.

Elicit searches a large database of academic papers, and its standout feature is data extraction: instead of reading dozens of papers to compile findings, you specify what to extract (e.g., "sample size," "main finding," "limitations") and Elicit fills a table across all relevant papers, with links to sources. It also summarizes, finds related work, and helps identify concepts — a genuine accelerator for systematic reviews and research synthesis.

Elicit offers a free tier (with limited credits), and paid plans (Plus, Pro, Team) that add more credits, advanced extraction, higher limits and features.

Strengths: powerful automated data extraction across many papers, real time savings for literature reviews, structured comparison tables, and source citations. Weaknesses: it aids but doesn't replace careful reading (extracted data needs verification, especially for critical reviews), coverage depends on its paper database, and heavy use needs paid credits.

For academic researchers, PhD students, systematic reviewers, and anyone conducting literature reviews or research synthesis, Elicit is one of the most useful AI research tools — its ability to extract and organize findings across many papers into comparable tables addresses one of research's most tedious tasks, though results should always be verified against the original sources for rigorous work.