Elicit (elicit.com) is built specifically for academic research tasks. Unlike general AI assistants, it connects to a database of over 200 million research papers and returns results with proper source attribution. For systematic reviews, it addresses tasks that previously required weeks of manual work.
Core Features
Paper search: enter a research question in natural language and Elicit returns relevant papers with structured summaries covering methods, sample sizes, outcomes, and key findings. The summaries are better calibrated for research use than Perplexity — they highlight methodology specifics rather than just conclusions.
Data extraction: select multiple papers and ask Elicit to extract specific data points across all of them (e.g., “What was the sample size and primary outcome measure in each study?”). The output is a structured table — the core task of systematic review that previously required reading each paper individually.
Practical Workflow for Systematic Reviews
Step 1: Enter your research question. Elicit returns 20–100 relevant papers. Step 2: Screen paper titles and abstracts using Elicit’s AI summaries instead of reading each manually. Step 3: For included papers, run data extraction across all simultaneously. Step 4: Export the structured data to Excel or CSV for analysis. This process reduces a 6-month systematic review to 6–8 weeks for the search and extraction phases.
Limitations and Verification
Elicit’s summaries are accurate more often than not, but errors occur — especially in quantitative data (wrong numbers extracted, units misread). Always verify extracted numbers against the original paper before including them in your analysis. Missing papers are also a real issue: Elicit doesn’t access all databases, and papers published before ~2010 have worse coverage.
Pricing
Elicit Basic is free (limited searches/month). Elicit Plus ($12/month) removes limits and adds data extraction across many papers simultaneously. For a PhD student running one systematic review, 1–2 months of Plus subscription covers the entire extraction phase.
Elicit vs Manual Review
Elicit doesn’t replace systematic review — it accelerates the mechanical parts. Judgment calls (inclusion/exclusion criteria, quality assessment, synthesis interpretation) still require human expertise. PRISMA checklist compliance, critical appraisal, and final synthesis cannot be outsourced to AI in good conscience. Use Elicit to handle the search and data extraction mechanics; apply your expertise to the interpretation.
