In-house legal teams, not law firms, will drive the next stage of AI productivity

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In-house legal teams will drive the next wave of AI productivity because they are measured by output and speed, unlike law firms that lose revenue when associates use AI to complete tasks faster.

Summary

The article argues that in-house legal departments, rather than law firms, will be the primary drivers of the next stage of AI productivity. The author explains that the economics of law firms create a barrier to gains because when an associate uses AI to complete a five-hour task in one hour, the firm loses 80% of potential billable revenue. In contrast, in-house teams are measured by output and speed, so freed-up time becomes capacity to handle more matters and reduce spending on outside counsel. To capture these gains, legal departments must solve for friction in workflows, such as contract review rework, stalled intake requests, and scattered executed contracts. General counsel should evaluate AI tools based on six dimensions: coverage, standards, completion, post-signature visibility, control, and validation. Platforms that solve workflow friction across multiple stages will define the next chapter of AI for legal departments.

(Source:Complete Ai Training)

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