Elicit
Extracts key findings from papers automatically
AI research assistant for systematic literature review — automate paper screening, data extraction, and evidence synthesis from academic databases.
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About Elicit
Elicit is an AI research assistant designed specifically for systematic literature reviews and evidence synthesis. It searches across 200M+ scientific papers, screens abstracts for relevance, extracts key data points from papers, and synthesizes findings across studies into structured tables. For researchers conducting systematic reviews, Elicit can automate the most time-consuming steps: screening hundreds of papers for inclusion criteria, extracting methodology details and outcome measures, and identifying patterns across evidence. The tool is particularly strong in clinical research, public health, and social science fields. Elicit's Notebook feature allows structured research workflows with custom extraction schemas. The free tier includes 5,000 paper credits; Plus ($10/month) adds significantly more credits and collaboration features.
✅ Pros
- +Automated paper screening against inclusion criteria saves hundreds of hours in systematic reviews
- +Structured data extraction pulls specific fields (sample size, methodology, outcomes) from papers
- +Evidence synthesis creates tables comparing findings across multiple studies
- +200M+ paper index covers most major academic databases
- +Notebook feature supports complex research workflows with custom extraction schemas
❌ Cons
- −Designed for systematic review — less useful for exploratory literature discovery
- −Extraction accuracy varies and requires verification, especially for complex methodologies
- −Credit system limits usage — heavy researchers need the Plus plan ($10/month)
- −Interface learning curve for researchers unfamiliar with systematic review methodology