Three-layer contract AI market

The real split is not feature lists, it is who owns the lawyer’s daily workflow and how fast a team can get value. Spellbook starts inside Microsoft Word, where lawyers already redline and draft, so it can win with a faster, lighter purchase. Harvey and Legora sell a broader legal AI seat, while Ironclad and Icertis start from the system of record and workflow layer that stores contracts, routes approvals, and connects legal to sales, procurement, and finance.1 2 3 4 5 6

• Word native specialists win on speed and habit. A lawyer opens a contract in Word, clicks suggested edits, compares fallback language, and keeps negotiating without leaving the document. That bottom up motion fits firms and in house teams that want immediate drafting ROI without a large software rollout.1 2
• Broader legal AI platforms treat contracts as one module inside a larger legal workbench. Harvey and Legora can bundle contract review with research, due diligence, and general drafting, which helps them sell top down to large firms that prefer one budget line and one vendor across many legal tasks.3 4
• CLM incumbents own the post drafting workflow. Ironclad and Icertis matter because they manage intake, approvals, signatures, repository, and downstream reporting. Spellbook’s move into Autonomous Contract Management pushes it closer to that layer by using AI to route requests, store documents, and surface risk with less manual setup.1 5 6

The next phase is convergence around the full contract loop, from drafting in Word to approval routing to repository and proactive monitoring. Specialists will keep moving outward from drafting, and incumbents will keep pushing AI inward. The winners are likely to be the products that reduce the most contract work while fitting cleanly into the tools legal and business teams already use every day.1 3 5 6