Essays

Something fundamental has shifted in how artificial intelligence operates, and it extends well beyond the legal industry. Agentic AI — systems that plan, execute, and adapt autonomously — is in production across software engineering, financial services, and healthcare. The legal profession, characteristically, is watching from a cautious distance. But caution is becoming difficult to distinguish from inaction.

If you've led a law firm long enough, you've lived through the cycle: impressive demo, signed contract, underwhelming results. The conventional explanations — wrong vendor, immature tech, resistant lawyers — don't explain the consistency of the pattern. The real problem is architectural, and it starts with decisions the vendor made long before the sales team walked into the room.

When power tools arrived in carpentry, they didn't replace carpenters. They changed the leverage equation. The carpenter who understood which tool to reach for — and when precision hand work was still the right call — could produce better results, in less time, at greater scale. The same dynamic is playing out in legal practice. AI isn't a replacement and it isn't a toy. It's a power tool, and its value is exponentially multiplied in the hands of a tactician who knows how to deploy it.

A letter arrives at a personal injury firm. What happens next — the scanning, uploading, renaming, re-keying, and notifying — involves every person on the team and not a single second of legal work. It is information passing through human relay stations because the firm's tools cannot pass it to each other. This is the integration tax, and most firms have no idea what they're paying.

Most law firms are treating AI adoption as a purchasing decision. The ones that will actually pull ahead are treating it as an infrastructure decision — and the gap between those two approaches is widening fast.