Home / Safety / ResearchRabbit for research & science
Litmap Limited (Wellington, New Zealand)How safe is ResearchRabbit for research & science?
The maker of ResearchRabbit publishes little about data protection. Check this before you put confidential research & science data into it.
Where does ResearchRabbit stand in research & science?
Shared spot 20 of 30 options for research & science (professional tools and general assistants) on GDPR profile. 4 options, like ResearchRabbit, have an Unknown profile. Each tile is an option we track for this field; click for the check.
Published safeguards
None of these three found in what the provider publishes; you can read what is there below. Is this your tool? Add the details
Processing follows the provider'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 There is no explicit promise that input is not used for training, so keep unpublished work out of it.
How to use ResearchRabbit safely
- Use the business variant and sign a data processing agreement (DPA).
- Do not enter unnecessary personal data into prompts; anonymise where possible.
- Ask the provider explicitly where data is stored and processed.
- Keep a professional in the loop: never use AI as a source: every reference must be traceable to the original article, as invented or misattributed citations are the most common error.
Stronger or equally strong in research & science
Questions
- How safe is ResearchRabbit for research & science?
- The maker of ResearchRabbit publishes little about data protection. Ask about this before you enter confidential research & science data. The provider publishes little on this: ask about it before business use.
- Does ResearchRabbit train on my data?
- Processing follows the provider'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 There is no explicit promise that input is not used for training, so keep unpublished work out of it.
- 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 Unpublished data, research proposals and peer-review manuscripts are confidential or commercially sensitive, so do not enter them into a consumer account without a data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.
Source documents
Everything about ResearchRabbit Best AI for research & science
Summarised by the editorial team from provider documentation · not legal advice
Last checked: 27 October 2026 · How we check
Source: , checked on 27 October 2026
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