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Litmap Limited (Wellington, New Zealand)ResearchRabbit
Visual literature explorer: starting from one or more seed articles, it builds a network of related papers, authors and citations and learns from what you add. Free to use and widely recommended by university libraries.
Shared spot16of 18 professional tools with a GDPR profileOur summary of what the provider itself publishes about your data: whether the data is stored in the EU (2 points), whether there is a certification or GDPR guarantee (1), and whether the provider is established in the Netherlands or the EU (1). 3 or 4 points is Strong, 2 Good, 1 Limited, 0 Unknown. How we measure in research & science
GDPR: Unknown
- Provider based outside the EU
Pricefree; ResearchRabbit+ $12.50/monthfree (Free Forever); ResearchRabbit+ $10 per month billed annually or $12.50 per month; institutional licence on request
Free trialYes
Based inWellington, New ZealandOutside the EU
ModelNot publicprocessing follows the company's own privacy policy via Databricks and OpenAI; the servers are in the US, with standard contractual clauses for transfers from the EU. There is no explicit promise that input is not used for training, so keep unpublished work out of it.
Last checked: 27 October 2026 · How we check
Is this your tool? Fill in missing detailsWhat it does
Interactive maps of papers, authors and concepts
Connections from seed articles
Recommendations that learn from your search behaviourUnlimited library and collections
Share collections to collaborate
Connect and upload your reference librarySignals alerts for research integrityLibKey connection with your institution's libraryComparable in research & science
Cradleon request (licence, no royal…
ASReview LABfree (open source)
Scholarcyfree Article Summarizer (1 same…
SciSpacefree plan
Keeniousfree plan (3 conversations per day)
Castoron requestUnderlying model
GDPR check for research & science processing follows its own privacy policy via Databricks and OpenAI; the servers are in the US, with standard contractual clauses for transfers from the EU. There is no explicit promise that input is not used for training, keep unpublished work out of it. Many tools build on a large model from, for example, OpenAI or Anthropic. If in doubt, ask for the data processing agreement: it states where your data goes.
Questions about ResearchRabbit
- Which AI model does ResearchRabbit use?
- The maker of ResearchRabbit does not disclose which AI model sits underneath. According to its privacy policy, processing runs via Databricks and OpenAI; the servers are in the US, with standard contractual clauses for transfers from the EU. There is no explicit promise that input is not used for training, so keep unpublished work out of it.
- How much does ResearchRabbit cost?
- free (Free Forever); ResearchRabbit+ $10 per month billed annually or $12.50 per month; institutional licence on request. Check the current price on the provider's website; prices often change.
- Who is ResearchRabbit for?
- ResearchRabbit focuses on research & science. It fits work such as searching and exploring literature with semantic search and citation networks, screening titles, abstracts and full texts for systematic reviews, and extracting and summarising data and study characteristics from papers.
- What should I look out for with AI in research & science?
- Never use AI as a source: every reference must be traceable to the original article, as fabricated or wrongly attributed citations are the most common error. Unpublished data, research proposals and peer-review manuscripts are confidential or commercially sensitive, so do not enter them into a consumer account without a data processing agreement, and check whether the provider stores your input or uses it for training (publishers usually prohibit this explicitly for peer review). If you work with personal data from research participants, the GDPR and your own ethics review apply: running models locally or using an EU-hosted tool with data minimisation is then the safe route. Finally, document your search strategy and your AI use: journals and funders increasingly ask for this, and a review must remain reproducible.
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