Google Gemini (for Workspace) is a multimodal AI assistant integrated into Google Drive and Docs. It is incredible at processing massive amounts of context—reading hours of video or thousands of pages of text to find a specific needle in the haystack. Colabra is a structured diligence engine. Gemini finds the needle; Colabra tells you if the needle is poisonous.
Gemini's "long context window" makes it a formidable research tool. You can dump a massive technical manual or a video recording of a management presentation into it and ask specific questions. It is excellent for ad-hoc, deep-dive research into complex, unstructured assets.
Colabra is built for structured legal and financial risk. We don't just "read" the documents; we grade them. We apply a rigid buy-side framework to every file, categorising it against a standard taxonomy and flagging deviations from market norms. Gemini gives you an answer; Colabra gives you a risk report.
Gemini outputs text. If you ask it to review 50 contracts, it gives you a long summary. Colabra outputs data. We turn those 50 contracts into a structured grid: Expiry Date, Liability Cap, Governing Law. This structured data can be filtered, sorted, and exported—something a chat response cannot do.
Gemini answers the specific prompt you give it. If you forget to ask about "roving termination fees," it won't mention them. Colabra is "zero-shot" for the user. We automatically run the full battery of diligence checks—sanctions, change of control, IP assignment—without you needing to remember every single question.
Gemini lives in Google Drive. To use it, you have to move the deal data out of the secure VDR and into your Drive. This breaks the chain of custody and security protocols. Colabra connects directly to the VDR, allowing you to analyse the data where it sits, without violating data residency or security policies.