In-house AI reduces outside counsel
Director of Innovation at large law firm on why firms adopt Harvey over Legora
This is what makes in house legal AI budgets easier to justify than law firm budgets. A corporate legal team can point to a very concrete substitution effect, fewer contracts, research tasks, and routine reviews sent to outside firms at $500 to $1,500 plus per hour. That turns AI from a productivity tool into a spend reduction tool, which is a much cleaner ROI story for a GC or legal ops buyer than time savings inside a billable hour firm.
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The workflow is different. In house teams usually want faster first pass review on NDAs, vendor paper, procurement terms, employment documents, and basic research so fewer matters leave the building. Law firms use the same tools more as drafting accelerators, where associates do the initial lift faster and partners still finish the work product.
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That is why contract focused tools often land well with in house teams. Spellbook lives inside Word, applies team playbooks, suggests redlines, and helps standardize repeat contracting work. Its in house segment is growing three times faster than the law firm segment, driven by reducing outside counsel spend and cycle times.
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Vendors are starting to build around this buyer. Legora launched Portal to connect firms and corporate legal teams in one workspace, then rolled out globally at Barclays. That product direction reflects a market where clients want more work done internally, and want outside counsel plugged into their system only when needed.
The next step is legal AI shifting from assistant to routing layer. The winning products will decide which work stays with the in house team, which can be automated, and which still merits a law firm. That will push outside counsel toward higher complexity matters and push AI vendors deeper into contract workflows, playbooks, and client firm collaboration.