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Overview

Elicit is an AI research assistant built specifically for academic literature. Unlike general-purpose chat AI, Elicit searches 138+ million academic papers and 545,000 clinical trials using semantic search, and helps with summarization, data extraction, and paper screening. Its target users are researchers, graduate students, clinicians, and evidence-based decision makers.

Key Features

1. Semantic Academic Search

Elicit surfaces relevant research across 138M+ papers based on meaning, not exact keyword matches — surfacing specialized work that general chatbots miss.

2. Systematic Review Support

Elicit automatically screens thousands of papers against custom inclusion/exclusion criteria and explains each decision. The platform claims to cut systematic review time by up to 80%.

3. Sentence-Level Citations

Every AI-generated claim links back to the exact sentence in the source paper, so researchers can verify grounding instantly — a strong defense against hallucination.

4. Data Extraction Tables

Elicit extracts interventions, outcomes, sample sizes, and statistical significance across multiple papers into a comparable table — invaluable for meta-analysis and literature reviews.

5. Collaborative Notebooks

Teams can review papers and edit extractions together in real time, making Elicit suitable for research groups rather than individuals only.

Pricing (2026)

PlanMonthlyKey Perks
Basic$0Search, summaries, limited runs
Plus$12 ($120/yr)4 automated reports per month
Pro$49 ($499/yr)12 reports or systematic reviews per month
Team$79/seat ($780/yr)20 reports, collaboration, sharing

Typical Use Cases

  • Thesis and dissertation literature reviews
  • Systematic reviews for medical and clinical research
  • Policy and evidence-based decision support
  • Patent and technical landscape scouting

Strengths

  • Purpose-built for 138M+ academic papers and clinical trials
  • Sentence-level citations mitigate hallucination risk
  • Dramatically speeds up systematic reviews

Weaknesses

  • Weaker for non-academic content (general news, etc.)
  • Monthly report limits can feel tight on heavy projects
  • Team plan is expensive for small labs

Official

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