Elicit Research
AI research assistant that automates literature review using language models trained on academic papers.
What is Elicit Research?
Elicit is an AI research assistant designed to speed up literature reviews by using language models trained on academic papers. Rather than manually searching through databases and reading abstracts, you input a research question and Elicit identifies relevant papers, extracts key information, and summarises findings across multiple sources. The tool works particularly well for researchers who need to understand the current state of knowledge in a field quickly, whether that's for a dissertation, grant proposal, or background research. It's built for academics, PhD students, and anyone conducting evidence-based research who wants to reduce the time spent on initial paper discovery and screening.
Key Features
Paper search and discovery
Enter a research question and the tool returns relevant academic papers with relevance ratings
Automated data extraction
Pulls key information like methodology, findings, and conclusions from papers without reading full text
Synthesis across papers
Identifies patterns and connections across multiple sources to build a picture of the research landscape
Question-answering interface
Ask specific questions about papers or topics and get responses backed by academic sources
Export and organisation
Save findings and export them in formats suitable for writing and citation
Paper screening
Helps prioritise which papers are most worth reading in detail based on relevance to your research
Pros & Cons
Advantages
- Saves significant time on the tedious initial stages of literature review
- Provides structured summaries that make it easier to compare findings across papers
- Helps identify gaps in existing research by showing what's been studied and what hasn't
- Free tier available, making it accessible for students and independent researchers
- Reduces the barrier to conducting thorough literature reviews in unfamiliar fields
Limitations
- Quality of results depends on how well you phrase your research question; vague queries may return less useful papers
- Still requires human judgment to validate findings and assess paper quality, since AI summaries can occasionally misinterpret nuance
- Limited to papers available in the training data and databases it can access; may miss very recent publications or niche journals
Use Cases
PhD students conducting a literature review for their dissertation proposal or thesis chapter
Researchers exploring a new field and needing a quick overview of current knowledge and key players
Grant writers gathering evidence to support a funding proposal
Evidence synthesis for policy briefs or systematic reviews
Students writing research papers who need to understand existing scholarship on a topic