Choosing AI tools for different firm sizes

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Here are the top 5 takeaways from this episode:

* The billable hour is a security blanket. Lawyers cling to hourly billing because it’s what they were trained on. The biggest obstacle to AFA adoption isn’t the law firms — it’s clients who demand flat fees, then revert to wanting hourly tracking when they don’t know how to measure value.

* True flat fees mean no shadow billing. Justin’s definition of a real AFA means deleting timekeepers from the system entirely. Internal hourly tracking undermines the model, creates conflicting incentives for associates, and defeats the purpose of value-based billing.

* AFAs require more upfront planning, not less. Flat fees force law firms to sit down early, map out a plan, assign LPM resources, and anticipate scope changes. A partner once told Justin he was “a pain in the ass” for requiring this but later admitted it made her team better. The business side (legal ops, pricing, finance) needs to own this so lawyers can focus on lawyering.

* AI creates a value delivery problem, not a savings problem. Law firms using AI are spending fewer hours but delivering better outcomes. The framing of “how much money is AI saving us?” is the wrong question. The right question is: how are you training your lawyers to use AI properly, and what value is being delivered? AI is giving associates their own junior associates and freeing them up for higher-level work.

* Construction can quote a skyscraper to the nail — law firms have no excuse. If a contractor can price a 50-story building down to individual nails, experienced lawyers who’ve done the same type of matter hundreds of times can price their work. The reluctance isn’t about complexity; it’s about the cultural comfort of just billing and running without a plan.

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