Elicit is a specialized AI research assistant developed by Ought, designed to automate academic literature review and evidence synthesis. Used by over 2 million researchers in academia and industry, it searches through 138 million academic papers and 545,000 clinical trials to help users find, analyze, and extract insights from scientific literature. Unlike general-purpose AI chatbots, Elicit is purpose-built for rigorous research workflows. Core features include semantic paper search (finds relevant papers without requiring exact keywords), automated data extraction into structured tables with 94-99% accuracy, research report generation producing 10+ page literature reviews with citations, systematic review support with PRISMA-compliant screening and extraction workflows, and a Notebook interface for chatting with uploaded papers. The Research Agent (Pro and above) expands beyond academic publications to include clinical trial data, regulatory documents, and press releases. Every AI-generated claim includes sentence-level citations from source papers, ensuring traceability. Elicit also offers Research Alerts for monitoring new publications on chosen topics, a Topic Finder for discovering related research themes, and custom extraction columns for pulling specific data points across large paper sets. The tool integrates with Zotero for reference management. Elicit occupies a distinct niche in the AI tools market as the leading solution for evidence-based research synthesis, enabling researchers to process hundreds of papers in the time it would traditionally take to read a handful.