Elicit leads because it explicitly supports search, screening criteria, editable decisions, extraction fields, source quotes and reporting. It is suited to teams that need a table and audit trail rather than only a generated overview.
Elicit is an AI research assistant with natural-language paper search, reports, paper chat and a dedicated systematic-review workflow. Its review process can bring together search, title and abstract screening, full-text screening, structured extraction and report generation while preserving evidence quotes and explanations for AI-assisted decisions. Elicit is a strong fit when the research artifact is a screening or extraction table rather than only a list of relevant papers. It also documents API and MCP access for programmatic research workflows.
Strengths
- Strong structured screening, extraction and systematic-review workflow.
- Natural-language and keyword search with PubMed and clinical-trial corpus options.
- Supporting quotes and explanations for screening and extraction outputs.
Limits to check
- Formal review scale and advanced extraction features require higher paid tiers.
- Researchers still need to validate generated criteria, exclusions and extracted values.
