Spellbook's Word-Based Contract Copilot
Diving deeper into
Scott Stevenson, CEO of Spellbook, on building Cursor for contracts
The legal AI market is splitting along two axes: broad-based, chat-shaped legal AI platforms like Harvey
Analyzed 4 sources
Reviewing context
Spellbook won early by meeting lawyers inside Microsoft Word, not by asking them to learn a new AI destination. The product started as a contract review and redlining copilot that flags issues in long agreements, checks them against a company playbook, and edits the document with track changes. That solved a daily pain point for people buried in NDAs, leases, and sales contracts, especially in-house teams that care more about speed than billable hours.
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Before generative AI, the company sold document automation templates to about 100 law firms. The real product market fit came in 2022 when it shifted from generating forms to helping lawyers review and revise live contracts, which is the job they do over and over in Word.
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Early users were often individual lawyers buying on their own. One of the first was a single lawyer at a Fortune 10 company who put it on a personal credit card, then usage spread seat by seat. That bottom up motion shaped the product around end user habits rather than innovation committee checklists.
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Who used it first also explains the split with Harvey and Legora. Spellbook found traction with corporate in-house legal teams and mid-size firms doing high volumes of routine contract work, while Harvey and Legora built broader legal assistants sold more top down into larger law firm environments.
Going forward, the wedge stays the same but the scope expands. A tool that starts by fixing clauses in Word can grow into the system that intakes contracts from email and Slack, runs first pass review automatically, and then pulls procurement, sales, and legal into the same contract workflow.