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Elicit

FreemiumResearch Last updated: April 16, 2026

Elicit is an AI research assistant for systematic literature reviews, searching 138M+ papers and extracting structured data with sentence-level citations.

Our General Score

8.4/10
Functionality9.2
Features8.8
Usability8.5
Value9.0
Integrations6.5
Reliability8.0

Plans & Pricing

Use Cases

Research

9.5

Structured data extraction with >90% accuracy (99.4% documented in a German government education policy systematic review) and sentence-level citations for every extracted value enables systematic literature reviews at a fraction of the manual cost; search spanning 138M+ papers, PubMed, and 545,000+ ClinicalTrials.gov studies covers the primary academic evidence base for most disciplines.

Data Analysis

9.0

Custom column definition for data extraction tables allows researchers to extract specific quantitative or qualitative data points (sample sizes, effect sizes, adverse event rates) across hundreds of papers into 20,000-cell exportable tables in CSV, BIB, or RIS format without manual reading of each paper.

Education

8.5

Basic free plan with unlimited paper search and 2 reports/month enables students to conduct evidence-grounded literature reviews without cost; Plus at $12/month provides 4 reports/month suitable for dissertation and thesis workflows; Chat with Papers supports directed learning through natural language questions about specific papers.

Content Creation

7.0

Automated 10+ page Research Reports with sentence-level citations provide researchers and science writers with structured evidence summaries suitable for grant proposals, policy briefs, and technical writing; output requires human editing and Elicit does not generate original creative or marketing content.

Personal Productivity

8.0

Research Alerts notify researchers when new papers matching their topics are published, reducing manual literature monitoring; Notebook organises and annotates paper collections for ongoing research projects; Basic free plan covers light literature monitoring at no cost.

Platforms

WebAPI

Capabilities

Context WindowN/A
API PricingN/A
Image Generation✗ No
Memory Persistence◑ Partial
Computer Use✗ No
API Available✓ Yes
Multimodal✗ No
Open Source✗ No
Browser Extension✗ No

Overview

Elicit is an AI research platform built specifically for systematic reviews, literature search, and structured data extraction from academic papers across 138 million indexed papers plus 545,000+ ClinicalTrials.gov studies. Its core differentiator is automated structured data extraction — researchers define custom columns (sample size, methodology, adverse effects) and Elicit populates tables with >90% accuracy and supporting quotes for every extracted value, verified at 99.4% accuracy in a published government policy systematic review. Powered by Claude Opus 4.5, Elicit's Research Reports generate 10+ page literature reviews with sentence-level citations. The free Basic plan includes 2 reports/month; guided Systematic Review workflow requires Pro at $49/month. Semantic search can miss up to 15% of relevant papers — traditional keyword search via PubMed is recommended as a supplement for formal systematic reviews.

Key Features

  • Semantic search across 138M+ academic papers, PubMed, and 545,000+ ClinicalTrials.gov studies using natural language research questions
  • Automated structured data extraction with >90% accuracy supporting sentence-level citations from source papers for every extracted value
  • Guided 4-step Systematic Review workflow covering search, AI screening (identifying 95% of relevant papers), extraction, and automated report generation
  • Automated Research Reports generating 10+ page evidence syntheses with mini-PRISMA diagrams and sentence-level citations across up to 80 papers
  • Research Alerts using AI to monitor and surface new papers matching defined research topics without inbox clutter (10 concurrent on Pro)
  • Research Agent powering competitive landscape and broad topic exploration workflows beyond systematic academic review

Pros & Cons

Pros

  • Structured data extraction accuracy of 99.4% documented in a published government systematic review (VDI/VDE 1,502/1,511 data points) and near-zero false negatives in CSIRO validation — enabling extraction reliability that competes with human reviewer accuracy at a fraction of the time cost
  • Custom column definition allowing researchers to specify exactly what data to extract (sample size, effect size, adverse effects, trial arm outcomes) across thousands of papers, replacing weeks of manual table-building work
  • All AI-generated claims include sentence-level citations from source papers, enabling verification of every extracted fact without returning to original documents
  • Integration of ClinicalTrials.gov (545,000+ studies) alongside academic paper search in a single workflow — covering the two primary evidence sources for clinical and pharmaceutical systematic reviews in one query

Cons

  • Semantic search can miss up to 15% of relevant papers — formal systematic reviews for publication or regulatory submission require traditional keyword-based searches via PubMed as a mandatory supplement to Elicit's semantic approach
  • Guided Systematic Review workflow is gated behind Pro at $49/month — the tool's primary differentiating capability is not accessible on the $12/month Plus plan or the free Basic plan
  • Published peer-reviewed research found that extraction reproducibility across user accounts reached only 90% value agreement, with reasoning matches as low as 30%, suggesting Elicit should be used as a secondary reviewer rather than a sole extractor in high-stakes systematic reviews
  • Database limited to indexed academic papers — grey literature, preprints outside the indexed database, unpublished clinical data, regulatory documents, and real-time web sources require separate search workflows

Who It's For

Best For

  • Academic researchers, PhD candidates, and systematic review teams needing structured data extraction across hundreds of papers with verified accuracy and sentence-level citation trails
  • Pharmaceutical, clinical, and policy research organisations running evidence syntheses that combine academic literature with ClinicalTrials.gov data in a single workflow
  • Graduate students conducting dissertation literature reviews who need structured summaries of niche academic topics where keyword searches fail to find semantically related papers
  • Research teams at pharma companies, government agencies, and consultancies needing to scale systematic review production without proportional staffing increases

Not Ideal For

  • Researchers whose work requires comprehensive grey literature coverage, preprint servers, regulatory documents, or news sources not in Elicit's 138M-paper indexed database
  • Teams needing a real-time web search layer alongside academic paper search — Elicit searches its static indexed database, not the live web or recently published papers before indexing
  • Publications or regulatory submissions requiring fully keyword-reproducible search protocols where semantic search alone is insufficient — keyword-based approaches via PubMed remain the standard for PRISMA-compliant formal systematic reviews
  • General knowledge workers, marketers, or writers needing AI writing assistance, SEO tools, or non-academic content generation — Elicit's functionality is limited to academic and scientific research workflows

Audience Scores

Pro at $49/month provides the guided Systematic Review workflow spanning search, AI screening (identifying 95% of relevant papers), structured data extraction (>90% accuracy), and automated report generation — covering the full systematic review pipeline that takes manual teams 3–12 months in weeks, as used by Oxford PharmaGenesis and CSIRO.

Free Basic plan covers literature search and 2 reports/month for coursework; Plus at $12/month ($120/year) provides 4 systematic reviews/month for dissertation chapters; Elicit identifies relevant papers without exact keyword matching, covering niche topics where standard keyword searches fail to retrieve semantically related papers.

Research Alerts on Pro keep educators current with new papers without manual database monitoring; Team plan at $79/seat enables departmental research teams to collaborate on systematic reviews in real time; institutional pricing via Enterprise covers course-embedded research workflows at scale.

Custom extraction columns pulling specific quantitative data points from hundreds of papers into 20,000-cell exportable tables provide structured datasets for meta-analysis and evidence synthesis without manual reading; Claude Opus 4.5 extraction of tabular data from papers (PFS, adverse effects, trial arm outcomes) supports pharmaceutical and clinical research data pipelines.

Consider These Instead

When Not To Choose Elicit

Choose Consensus when the primary need is quick, binary evidence questions ("Does X help with Y?") using the Consensus Meter to synthesise the weight of evidence across 200M+ papers in a single visual output — Consensus is better for rapid evidence checking without building structured extraction tables. Choose Scite when citation quality analysis — distinguishing supporting from contrasting citations with context — is the primary requirement rather than structured data extraction; Scite's Smart Citations classify 1.6B+ citation statements, a capability Elicit does not provide. Choose Covidence when a formal systematic review tool built for PRISMA-compliant publication workflows with two-reviewer screening, conflict resolution, and integration with Cochrane processes is required — Covidence is the standard tool for regulatory-grade systematic review documentation that Elicit's guided workflow approximates.

Integrations

ZoteroPubmedClinicaltrials.govCsv Export

Known Limitations

accuracy variabilityecosystem weaknessfeature gaplearning curve