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Elicit

FreemiumResearchAcademicNEW

AI research assistant that automates systematic literature reviews and extracts data from academic papers.

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Overview

Elicit is an AI-powered research assistant designed to help researchers and academics find, analyze, and synthesize scientific papers at scale. It goes beyond simple keyword search by understanding research questions semantically, finding the most relevant papers across a massive database, and extracting structured data such as methodologies, sample sizes, outcomes, and key findings from each paper automatically.

The platform excels at systematic literature reviews, a traditionally time-consuming process that can take weeks or months. Elicit can search across over 125 million papers, rank them by relevance, and build structured comparison tables that let researchers see patterns across studies at a glance. Users can define custom columns to extract exactly the information they need from each paper.

Elicit is trusted by researchers at top universities and organizations worldwide. Its workflow-oriented design means it fits naturally into the research process rather than replacing it, helping researchers spend less time on tedious data extraction and more time on analysis and insight generation.

Key Features

  • +Semantic search across 125M+ academic papers
  • +Automated data extraction from papers into structured tables
  • +Custom column definitions for extracting specific information
  • +Systematic review workflow with deduplication and screening
  • +Abstract and full-text summarization of individual papers
  • +Citation and reference list export
  • +Collaborative workspaces for research teams

Use Cases

Best for researchers conducting systematic literature reviewsBest for PhD students building structured evidence tables for dissertationsBest for policy analysts gathering scientific evidence on specific questionsBest for medical researchers comparing study outcomes across clinical trialsBest for grant writers needing to summarize the state of a research field

Pros & Cons

Pros

  • +Dramatically reduces the time needed for systematic literature reviews
  • +Semantic search finds relevant papers that keyword search would miss
  • +Structured data extraction tables are uniquely powerful for cross-study comparison
  • +Free tier is generous enough for small projects
  • +Clean, research-focused interface with minimal learning curve

Cons

  • xFull-text extraction requires a paid plan
  • xCoverage is strongest in biomedical and social sciences, weaker in humanities
  • xCannot access paywalled full-text content directly
  • xData extraction accuracy can vary with complex or poorly structured papers

Pricing Details

Free: limited searches and extractions. Plus: $10/mo - more extractions and full-text analysis. Teams and Enterprise: custom pricing with advanced collaboration.

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