Chance yields to design as AI raises the bar

The American Lawyer wrote on x on 2026-09-03 that Wayne Stacy and Caren Ulrich Stacy say firms that invest meaningfully can use well-designed AI workflows to replace apprenticeship by chance with development by design. Their formulation makes lawyer development the event’s central measure: AI is presented as a structure for learning, assessment and work, rather than simply a way to remove tasks from junior lawyers.

The advantage belongs to firms that grow lawyers faster. The American Lawyer’s point supports that position because it ties the value of AI workflows to how people become capable, not only to how much work a firm can complete with fewer beginners. Daniel W. Linna Jr. says AI can help students learn more, faster, and says instruction needs to change as AI amplifies capabilities and raises the bar. Sarah Guo describes an engineer who says AI has been replacing a job since a computer science degree while the engineer is busier than ever and can be more ambitious. Taken together, those accounts support a direction in which AI increases the need for capable people and makes the design of their development consequential. The legal application remains narrower: Stacy and Caren Ulrich Stacy address firms, while Linna addresses students and Guo reports an engineer’s account.

The order of proof matters. The American Lawyer establishes that Wayne Stacy and Caren Ulrich Stacy wrote about designed development through AI workflows. It does not establish that a firm has implemented such a workflow, that lawyers learned faster under it, or that the resulting lawyers performed better. It also provides no measured comparison between apprenticeship by chance and development by design. Linna’s account concerns teaching and assessment, and Guo’s account concerns an engineer’s workload; neither supplies a result for legal training. The stronger reading would require a named firm, a deployed workflow, a defined population of lawyers, and a comparison showing faster acquisition of legal capability. A firm’s description of its own program would identify a launch, but a measured change in lawyer performance would be needed to establish the advantage.

The next confirming fact is a firm-level launch that identifies the AI workflow, the lawyers using it, the skills being developed and the time taken to reach a stated level of competence. The decisive follow-up would be a reported comparison showing that lawyers trained through the workflow acquire those capabilities faster than lawyers trained through ordinary apprenticeship. We will watch for that number rather than treating designed development as a result merely because a workflow has been described. If the program produces only fewer entry-level roles, the event will have shown labor substitution without establishing the advantage held by firms that develop lawyers faster.