The Three-Dollar Contract

In the AI Story

The specific economic dimensions of the interaction illustrate the broader dynamics the book analyzes. The first-copy cost of the contract has collapsed: what previously required four hours of attorney time at professional billing rates now costs less than a cup of coffee. The commodity has commoditized further. The traditional scarce resource — legal drafting capacity — has been amplified to near-universal availability.

What remains scarce is the judgment that identifies the two catches. The jurisdictional nuance requires domain knowledge the AI model may not reliably possess. The liability provision requires strategic analysis of the specific counterparty that the AI cannot perform. Both require the exercise of professional judgment that the smooth output conceals.

The interaction also illustrates the lemons problem in miniature. Segal, as the purchaser of legal services, cannot independently verify the quality of the AI-generated contract. He depends on his lawyer's judgment precisely because he cannot exercise that judgment himself. The twelve pages look professional. The two catches are invisible without expertise to find them. The smooth output conceals exactly the quality differential that the market must reward if the investment in legal expertise is to remain economically sustainable.

The epilogue's closing reflection — I did not fire my lawyer. I will not fire my lawyer — encapsulates the personal-level response to the macroeconomic dynamics the book analyzes. The choice to continue paying for expertise despite the availability of cheap AI-generated output depends on recognizing what the output conceals. The choice becomes harder when the evaluator cannot recognize the concealment, which is why the institutional reconstruction of quality verification mechanisms is urgent.

Origin

The contract interaction occurred in Segal's actual practice as a technology entrepreneur, and the specific economic dimensions — the API cost, the number of pages, the number of catches — are drawn from his documented experience. The use of this interaction to organize the book's framing reflects Segal's broader project of grounding abstract economic analysis in concrete decision contexts.

Key Ideas

Three dollars and forty-seven cents measures commoditization. The specific price point illustrates the scale of first-copy cost collapse for legal drafting.

Two catches measure remaining scarcity. The identification of jurisdictional and strategic issues represents the judgment layer that AI has not yet penetrated.

The gap defines the economic territory. Between universally accessible production and expert judgment lies the entire market that institutional reconstruction must preserve.

Recognition depends on expertise. The evaluator who cannot recognize what the smooth output conceals cannot preserve the market for the judgment that produces the recognition.

Debates & Critiques

Whether the two-catch pattern generalizes across all professional domains depends on the specific ratio of commoditizable output to judgment-dependent evaluation in each profession. Some domains — routine contract drafting, basic code generation — may move toward 99% commoditization. Others — complex litigation strategy, medical diagnosis in ambiguous cases — may retain larger judgment components for longer. The institutional design challenge is to match verification mechanisms to the specific ratio in each domain.