Legora's Advantage Shifts to Workflow

Legora wins only if legal AI stops being judged as a model demo and starts being bought as workflow software. The raw reasoning layer is getting cheaper and more interchangeable, as shown by Harvey abandoning its fine tuned legal model and Legora itself going to market on off the shelf frontier models. That shifts the moat toward where lawyers already work, the firm data Legora can reach, and how well it fits into drafting, review, and research habits inside large firms.

• The clearest evidence is Harvey. As frontier models beat its proprietary system on legal benchmarks, Harvey moved to multi model workflows and heavier customer success. That suggests model quality alone no longer holds pricing power for legal AI vendors.
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• Incumbents own assets startups cannot quickly copy, namely legal content, installed distribution, and workflow systems. Westlaw and LexisNexis sit on decades of annotated primary law, while Clio bought vLex and Thomson Reuters bought Casetext to bolt AI onto existing legal distribution.
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• That leaves Legora competing on execution. It already plugs into systems like iManage, SharePoint, and Word, and serves about 250 firms and legal teams. In practice, the product has to save a lawyer real time on a redline, memo, or cross border research task, not just produce a smart answer in chat.
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The category is heading toward bundled legal workstations where AI is expected and the real battle is over distribution, trusted data access, and repeatable daily use. Legora can still build a strong position, but the durable advantage will come from owning the lawyer's workflow in international firms, not from having a uniquely smart model.