Lowering Barriers to Starting Companies
Scott Stevenson, CEO of Spellbook, on building Cursor for contracts
The key shift is that legal AI is becoming a tool that lowers the cost of getting work done, not a tool that fully replaces lawyers. Spellbook started with do it yourself contract automation, but trust broke down when users could not tell if the output was safe. The current model keeps legal teams in the loop, which makes democratization practical because more people can get contracts done while a lawyer still sets the rules and checks the edge cases.
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That explains why Spellbook moved from template automation to a Word add in for review and redlining. Instead of asking a founder or salesperson to trust a generated contract from scratch, it helps a lawyer or legal team edit real documents with track changes, playbooks, and issue spotting inside the workflow they already use.
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The contrast with LegalZoom style products is less about mission than about trust architecture. Consumer legal tools can generate forms, but many users still want a professional signoff. Spellbook now sells software to in house teams, where 60% of revenue comes from enterprise legal groups that can oversee sales and procurement users without becoming a bottleneck.
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This also fits the broader shape of legal AI. The strongest adoption is in contracts, where work is repetitive and speed matters, not in open ended legal reasoning. That is why workflow tools like Spellbook can widen access by making routine review cheaper and faster, while AI law firms and chat style tools attack different parts of the market.
Over time, democratization in legal will come less from pure self serve document generation and more from software that lets one legal team support far more business users. As Spellbook adds intake, workflow, and proactive contract operations, the company moves closer to becoming the layer that turns scarce legal judgment into scalable internal infrastructure.