Harvey is a "legal co-pilot" designed to assist lawyers across every practice area—from litigation research to contract drafting. It is a generalist AI assistant that accelerates billable work. Colabra is a specialised M&A workspace. We do not try to help litigators or tax attorneys; we are built exclusively to help deal teams turn a chaotic data room into a defensible risk register.
Harvey is a prompt-driven AI assistant. You give it text-based tasks—"Summarise this deposition", "Draft a waiver letter", "Compare these two clauses"—and it returns useful output. It is flexible and works across practice areas, but performs best when you guide it through specific tasks one by one.
Colabra is an opinionated system for M&A. We do not wait for instructions. When you upload a data room, Colabra automatically runs the diligence playbook: categorising files, identifying missing schedules, and mapping the corporate structure. We are not an assistant you chat with; we are the workbench you run the deal on.
Harvey reads the text you feed it and can summarise a single agreement. Colabra reads the room. We understand the relationships between files—automatically linking an amendment to its original contract, or flagging that a board resolution referenced in the bylaws is missing from the folder.
To do diligence in Harvey, you must design the prompts: "Review these 50 files for change of control." If you forget to ask about "roving termination fees", Harvey won't tell you. Colabra comes pre-loaded with the buy-side checklist. We flag the risks you didn't know to look for.
Harvey processes words. Colabra processes entities. We automatically extract every company and individual from the documents and screen them against live sanctions, PEP, and litigation databases. Harvey can summarise a contract; Colabra can tell you if the counterparty is on a watchlist.