Elicit logo

Elicit

Free

Elicit uses language models to help you automate research workflows, like parts of literature review.

FreeFree tier
Type
Open Source

About Elicit

Elicit is an AI-powered research assistant designed to help researchers be more evidence-based by automating time-consuming parts of literature review. It uses semantic search to scan over 138 million academic papers and 545,000 clinical trials, then generates customizable research reports inspired by systematic review methodology. Researchers can automate screening and data extraction for systematic reviews, saving up to 80% of the time. Elicit provides interactive tables, sentence-level citations, and alerts to keep users updated on new research. Trusted by over 5 million researchers, it focuses on scale (up to 1,000 papers and 20,000 data points per analysis), accuracy, and transparency.

Key Features

Semantic search over 138 million academic papers and 545,000 clinical trials without needing exact keywords
Generates customizable research reports inspired by systematic review methodology
Automates screening and data extraction for systematic literature reviews (up to 80% time savings)
Library to store, organize, and reuse sources across projects
Alerts to stay on top of new research without inbox clutter
Scale: find up to 1,000 relevant papers and analyze up to 20,000 data points at once
Sentence-level citations for all AI-generated claims for transparency
Interactive tables and multi-step workflows beyond simple chat

Pros & Cons

Pros
  • Semantic search eliminates need for exact keywords, making it easier to find relevant papers
  • Customizable research reports allow control over which papers and information are included
  • Systematic review workflows can save up to 80% of manual effort
  • Large scale: can search and analyze thousands of papers at once
  • High accuracy claimed and validated for scientific research
  • Transparent with sentence-level citations supporting all claims
  • Generous free tier available for researchers
Cons
  • Limited to scientific and clinical research; not suitable for general-purpose queries
  • May require verification of AI-extracted data for critical research decisions
  • Dependence on underlying academic paper database coverage

Best For

Conducting rapid literature reviews and evidence synthesisPlanning and executing systematic reviews with automated screening and data extractionStaying updated with new research in a specific field using alertsExploring research questions across millions of papers without precise keyword knowledgeGenerating structured, cited research briefs for academic or clinical decision-making