Elicit

Elicit is one of the few AI tools built specifically for academic and scientific research, and it addresses a real bottleneck in the research process: the time required to review large numbers of papers to understand the state of a field, identify relevant studies, and extract key findings.

The tool connects to a large database of academic papers and allows researchers to ask questions in natural language. Elicit finds relevant papers, extracts key information from each, and organises the results into a structured format that allows comparison across studies. For a systematic literature review, this dramatically reduces the time spent manually reading abstracts and determining relevance before selecting papers for deeper review.

The table format for comparing extracted data across papers is particularly useful. Elicit can extract specific types of information from each paper — methodology, sample size, effect size, conclusions — and display them in a comparative table that would otherwise require hours of manual extraction. This is a genuine time-saver for researchers conducting evidence synthesis or meta-analysis.

The AI summaries and extracted data are not perfect. Elicit occasionally misses nuances, incorrectly extracts specific numbers, or generates summaries that oversimplify complex findings. It is best understood as a tool for initial screening and synthesis that reduces the volume of material requiring close human review, not as a substitute for careful paper reading on important claims.