The piece does not report a specific company announcement, court ruling, or regulatory action. Instead, it presents a thesis about the trajectory of legal AI adoption and the division of labor emerging between automatable technical tasks and judgment-based decision-making. The timeline is current, reflecting capabilities that are improving monthly.
For in-house counsel evaluating AI tools, the argument carries practical weight. The legal industry has recently confronted multiple instances of AI-assisted errors and hallucinations, sharpening scrutiny around legal automation. Thomas's framing suggests that competitive advantage will increasingly depend not on speed of document production but on human expertise in prioritization and business judgment—the skills AI cannot yet reliably provide. Attorneys should assess AI vendors not on task automation alone but on how their tools preserve space for experienced decision-making.