Elicit for systematic reviews in 2026 is the tool academics have been asking for, just with a different name

The AI-Powered Search using focused research questions rather than keyword matching is the right starting point for a systematic review. You are not searching for documents that contain specific words. You are searching for studies that address specific research questions, which produces meaningfully different results.

The Structured Data Extraction for organising key information into comparative tables, and the Advanced Analysis for comparing methodologies across studies, are the capabilities that convert a literature search into a research artifact. A table comparing intervention type, sample size, outcome measures and effect sizes across 40 studies is not a summary. It is the primary analytical output of a systematic review, produced in hours rather than weeks.

The Advanced Filtering by publication year or study type is the methodology documentation trail that makes the review reproducible. Any other researcher following the same search parameters should reach the same paper set, which is the scientific validity requirement for systematic reviews.

For PhD students specifically: what is the phase of your literature review process where you currently spend the most time and would Elicit's structured extraction change that phase meaningfully?