AI NewsGo-to-marketReported
Blackletter raises $6M for a law firm that refuses the AI-native label
Three ex-Cohere and Blue J leaders raised $6 million USD for a Toronto law firm. It runs on their own AI. The CEO refuses the AI-native label.
Image: BetaKit
Why it mattersClients who hire outside counsel are now being sold firms that use AI differently. The AI-native label is losing its value as everyone adopts it.
A new law firm in Toronto has raised money, signed up its first clients and refused to call itself "AI-native". That is the pitch of Blackletter, as reported by BetaKit's Charlize Alcaraz.
Blackletter has closed a $6 million USD seed round, which is $8.5 million in Canadian dollars. Lerer Hippeau led. Seven Stars, Maple VC, Garage Capital and Ripple Ventures all participated. Cohere's three co-founders, Aidan Gomez, Ivan Zhang and Nick Frosst, each wrote a cheque. TwelveLabs CEO Jae Lee and Adaption CEO Sara Hooker are also on the cap table.
Who founded it, and what it does
Blackletter has two offices, in Toronto and New York. Its three founders are Jonathan Rosenbluth, David Stewart and Avi Brudner. Rosenbluth and Stewart were both product and engineering leaders at Cohere, Canada's best-known foundation-model company. Brudner was the chief operating officer of Blue J, a Toronto legal AI firm.
The firm works on corporate, commercial, financing, merger and acquisition, and employment law. BetaKit reports that it bills a fixed fee per matter rather than the hourly rate that most firms use. The AI stack is Blackletter's own, built in-house for the lawyers who work there.
Why the label is a problem for the founders
Rosenbluth gave BetaKit a quote that is likely to be shared more than the round itself. "We're hiring great lawyers; to say that we're an AI-native law firm feels like it connotes cheap and fast."
He pushed the point further. "Nobody would describe a law firm that uses Microsoft Word as a Microsoft-native law firm."
The firm's bet is simple. Every boutique is now pitching AI-native services. Legal buyers will stop hearing the phrase. Blackletter sells its AI work as how a modern firm practices, not as its identity. The flat fee is the visible part of that pitch. If the AI makes a matter faster, the firm keeps the saving the first time. The next flat fee is reset.
What this says about AI positioning
The "AI-native" label was useful for a few years. It signalled that a company had built around a model from the start. Older firms were adding AI features to existing software. The label has since spread to every pitch deck in enterprise software, and now in services.
Blackletter's founders come from one of the labs that helped make the label mean something. They are choosing to drop it and sell on fixed fees instead. That is a signal: the phrase no longer helps a buyer decide. Someone who heard "AI-native" three times this quarter wants two plain answers. What changes in the work. What changes in the bill.
Source
This item was written by an AI system from the linked source. Reveneau is responsible for what it publishes.
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