Law firms are investing heavily in AI, but many have yet to translate that investment into meaningful operational or economic change.
Harbor research cited by Rudy found that 46% of firms had prioritized AI investment for 2026, while 67% reported only marginal impact and none reported meaningful changes to staffing models. The technology is advancing faster than the business models around it.
Firms still resisting outcome-based pricing in 2026 are not protecting their economics, they are subsidizing their clients.
From time spent to value delivered
The billable hour places the financial benefit of faster work with the client. When AI reduces the time required to complete a matter, hourly revenue declines with it.
Outcome-based arrangements work differently. Flat fees, subscriptions, and value-based models allow firms to price for the result, retain more of the value created through efficiency, and give clients greater budget predictability.
The shift depends on more than access to AI. Firms need broad adoption, reliable matter data, and the ability to use past performance to model future work. Without those foundations, AI remains a productivity tool rather than a pricing advantage.
Rudy’s commentary examines why reduced variance makes alternative pricing more economically rational, what predictability is worth to clients, and why firms that continue to price yesterday’s uncertainty may be giving away the value AI creates.
This is a summary of an article available through Westlaw Today.
- AI
- Financial management
- Time & billing
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