Elicit

What is Elicit AI

Elicit AI is a research assistant that uses large language models to streamline literature reviews and adjacent workflows. It discovers relevant papers beyond exact keyword matches, surfaces key insights tailored to your question, and extracts structured data from PDFs into a usable table. With tools for brainstorming, summarization, and lightweight text classification, Elicit reduces manual screening, accelerates evidence synthesis, and helps you map a field, compare findings, and decide what to read next with greater clarity and less time.

Elicit AI Main Features

• Semantic paper discovery: Find relevant studies even when your query lacks exact keywords, improving recall over traditional search.
• Question-focused summarization: Generate concise takeaways aligned to your specific research question to quickly assess relevance.
• Structured data extraction: Pull key details (e.g., population, methods, outcomes) from papers into a table for side-by-side comparison.
• Filtering and ranking: Sort and filter results by attributes, study type, and extracted fields to prioritize the strongest evidence.
• Brainstorming support: Explore related concepts, hypotheses, or variables to refine scope and uncover new research angles.
• Summarization at scale: Batch-summarize multiple papers to compress reading time while maintaining context.
• Lightweight text classification: Tag and group snippets or abstracts to organize themes and build evidence maps.
• Export-ready outputs: Move extracted data to spreadsheets or notes to support systematic documentation and reporting.

Who Should Use Elicit AI

Elicit AI suits researchers, academics, graduate students, evidence synthesis teams, clinicians, and policy analysts who need faster literature triage. It also helps product managers, UX researchers, data scientists, and content strategists conduct background research, compare sources, and build structured summaries for decision-making.

How to Use Elicit AI

1. Define your research question or topic scope and paste it into the query field.
2. Run a semantic search to discover relevant papers beyond exact keyword matches.
3. Open summaries to review question-specific takeaways and key findings.
4. Select fields to extract (e.g., sample size, measures, outcomes) and populate a comparison table.
5. Filter, sort, and rank studies to focus on the most relevant and rigorous evidence.
6. Iterate by refining queries, adding synonyms, or adjusting extraction fields.
7. Export the table or notes to your documentation workflow for further analysis and citation.

Elicit AI Industry Use Cases

In academia, researchers use Elicit to rapidly scan a field, assemble related work, and extract comparable methodological details for a literature review. In healthcare, evidence teams synthesize study outcomes to inform clinical guidelines. Policy analysts summarize policy-relevant findings across jurisdictions. Product and UX teams aggregate user research papers to inform feature decisions, while data scientists review methods papers to select appropriate modeling approaches.

Elicit AI Pros and Cons

Elicit AI FAQs

• Does Elicit AI replace a full systematic review?

  No. It accelerates discovery, screening, and synthesis, but researchers should apply formal protocols and critical appraisal to ensure rigor.

• How does Elicit find relevant papers without exact keywords?

  It uses semantic search via language models to match the meaning of your query against paper abstracts and text, broadening relevant coverage.

• Can I extract specific fields from papers?

  Yes. You can configure fields like population, intervention, outcomes, or other study attributes and compile them into a comparison table.

• How accurate are the summaries?

  Summaries are helpful for triage but can omit nuance or contain errors. Always verify key claims against the original paper.

• Can I export my results?

  You can export tables or notes to use in spreadsheets or reports, preserving your extracted fields and filters for downstream analysis.