The Legal Review Timeline Your AI Feature Roadmap Never Costed
You sketched a six-quarter AI roadmap. The model swap, the new data source, the multilingual launch, and the prompt that now offers advice each got a single row on the Gantt chart, sized by engineering effort. Then the first launch slipped four weeks, and the post-mortem said the same thing three times in three different sections: "waiting on legal." The roadmap had assumed engineering capacity was the binding constraint. The actual binding constraint was a queue of legal reviews, each running its own three-to-six-week SLA, none of them aware of each other, and all of them landing on the same two product counsels.
The mistake was not in any of the individual reviews. Each one was warranted. The mistake was treating four parallel features as four parallel timelines while their legal dependencies serialized through the same upstream resource. By the second slip the org learns the shape of the problem. By the fourth it learns to plan against it. The teams that ship AI features on a predictable cadence have stopped treating legal throughput as an external surprise and started treating it as a planning input on the same footing as headcount and infra capacity.
