The Document Review Trap Is Happening Again

The pitch is always the same: machines handle the routine, humans do the thinking. This time it's AI handling document review and legal research.

Judgment becomes scarce; judgment becomes valuable; the lawyers who master judgment thrive—but this is not a new story.

Twenty years ago, the same argument worked for offshore outsourcing and contract review software. Document review—the work that used to train junior lawyers, that paid associate salaries, that filled billable hours—could be done cheaper and faster by paralegals in Mumbai or by early e-discovery platforms.

There is no structural incentive for a law firm to invest savings in higher-judgment work. There is a structural incentive to pass savings to clients, compress prices, and grow market share. The gap between "technology eliminates routine work" and "therefore judgment becomes more valuable" requires a choice that markets do not make automatically.

The pitch is always: machines handle routine work, humans do the thinking. What actually happens: routine work gets cheaper, cheaper work gets outsourced, and the firm keeps the margin.

Weinberg is not wrong that judgment will matter more as routine work gets automated—he is incomplete about what happens next. Law firms operate on a margin model where they capture efficiency gains and clients demand price reductions, atomizing the profession into tiers: firms that can invest in judgment-intensive work because they already serve premium clients. Firms that compress into commodity work because that is where the margin moved.