In-house teams drive Spellbook growth

This pull from in-house reveals where legal AI creates immediate economic value, inside teams measured on business speed, not billable hours. A corporate legal team reviewing NDAs, procurement terms, and sales contracts wants the document turned faster so deals close faster. That is why Spellbook, which started with firms, found in-house becoming the dominant customer base soon after launch, and why its Word based contract workflow fits large internal teams processing heavy contract volume.

• Spellbook says in-house is growing 3x faster than its law firm segment, now drives about 60% of revenue, and is strongest with large enterprise teams running significant contract flow. That points to repeat, high frequency work like redlining standard agreements, where speed matters every day.
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• The contrast with big law is structural. Large firms often buy through innovation committees and still make money from hours worked, while in-house teams and smaller firms on flat fees benefit directly when review time falls sharply. That makes adoption incentives much cleaner.
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• The broader market is splitting by workflow and buyer. Harvey and Legora skew toward top down sales into law firms and legal specialists, while Spellbook is built around the contract itself inside Microsoft Word, which also lets it spread into procurement and sales teams that touch contracts but are not lawyers.
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This is heading toward contract systems that do the first pass automatically before a lawyer opens the file. As in-house teams become the main early adopters, legal AI will keep moving away from research chat tools and toward embedded contract rails, intake, triage, and proactive workflow automation across the business.