Elicit

Elicit is an AI research assistant built for evidence work that has to survive scrutiny. You ask a research question, and its semantic search sweeps more than 138 million academic papers and 545,000 clinical trials, then assembles reports, tables, and figures where each claim is tied to a sentence-level citation. The vendor says over 5 million researchers use it, concentrated in pharma, academia, medical devices, policy and government, consumer goods, industrials, and software. The Research Agent, launched August 4, 2026, gathers evidence from scientific databases, academic journals, public data sources, and your own uploaded documents, then produces fully cited artifacts including bioinformatics analyses, calculations, and slides. Because search is semantic, you don't need the exact keyword string to land on the right literature. For systematic review teams, Elicit automates screening and data extraction while partially supporting search and report generation: Pro screens 5,000 papers, Enterprise goes to 40,000 papers and 40 extraction columns. Collaboration and persistence have become central. A shared Library landed September 17, 2026 so the Research Agent and your team work from the same evidence, and Routines (September 30, 2026) monitor new literature on a recurring basis and update your work. Skills, Collaborative Sessions, Artifact Editing, and Shared Projects arrived August 31, 2026. Exports cover RIS, CSV, BIB, PDF, and DOCX, with Zotero import and an API plus MCP server for embedding Elicit search in autonomous agents. Elicit publishes its own benchmarks: 60.3% recall at 50 papers on BioASQ against 40.3% for the next-best system. Set against a general chatbot, you trade conversational speed for auditability — Elicit is slower, narrower in source coverage, and priced per seat, but the output can be handed to a reviewer with the work shown.