Lower-priced Legora wins firm pilots
$100M/year Harvey for the rest of the world
The low entry price mattered less as a margin lever than as a wedge into firms that would never approve a Harvey sized rollout on day one. In practice, large firms start with tiny pilot groups, run heavy security review, then reassign seats lawyer by lawyer to keep utilization high, so a five times cheaper seat let Legora get into budget and procurement conversations faster, especially in Europe where workflow fit and data transparency carried extra weight.
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Large firms are not buying hundreds of seats up front. They start with 5 to 20 seats, often on six month or one year terms, then hot swap licenses across matters. That makes the real battle land and expand, not list price alone.
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Harvey still won many US led deployments because clients asked for it by name and firms viewed it as strongest on legal reasoning and drafting. Legora won where buyers cared more about workflow, collaboration, international law, and clearer answers on data residency.
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This pricing gap also reflected different products. Harvey sold a premium copilot for research, drafting, and analysis. Legora sold a more structured workspace, with Word based drafting, knowledge vaults, and contract workflow features that made it easier to spread across a team.
Going forward, legal AI pricing will keep compressing toward flexible pilots and usage based seat allocation, while competition shifts to who becomes embedded in daily workflows. That favors products that connect to document systems, support team collaboration, and bundle proprietary legal content, which is why point pricing advantages alone will matter less over time.