Elicit
Elicit uses language models to help you automate research workflows, like parts of literature review.
What is Elicit?
Elicit is an AI-powered research assistant that use large language models to simplify academic and professional research workflows. It provides access to a database of over 125 million papers, enabling researchers to search, summarise, extract data from, and have conversational interactions with research literature. The platform is designed to automate time-consuming parts of the research process, particularly literature reviews, making it valuable for academics, PhD students, industry researchers, and professionals who need to quickly synthesize large volumes of scientific information. With over 2 million users across academia and industry, Elicit helps researchers work more efficiently by reducing manual screening and data extraction tasks while maintaining research quality and accuracy.
Key Features
Semantic search across 125+ million papers using natural language queries
Automated summarization of research papers to extract key findings and methodologies
Data extraction from papers into structured formats for comparative analysis
Chat interface to ask questions about papers and get AI-assisted answers
Literature review automation to identify relevant papers and synthesize insights
Integration with research workflows to reduce manual literature screening time
Pros & Cons
Advantages
- Massive database of 125+ million papers provides thorough coverage of academic literature
- Significantly reduces time spent on literature reviews and paper screening
- Freemium model allows researchers to try the tool without upfront investment
- Trusted by over 2 million researchers indicates strong community adoption and reliability
- Natural language search makes it accessible to researchers without Boolean search expertise
Limitations
- AI-generated summaries and extractions may require verification by domain experts to ensure accuracy
- Pricing details for premium tiers not publicly transparent, may require direct inquiry
- Limited information about offline capabilities or local model options for sensitive research
Use Cases
Conducting thorough literature reviews by automating paper discovery and summarization
Extracting and comparing methodologies across multiple papers for research design
Screening large volumes of papers to identify the most relevant sources for a research question
Synthesizing findings from multiple papers to identify trends and gaps in academic literature
Accelerating research for industry professionals who need to stay current with published research