Will AI Reduce Demand for New Law-Firm Associates?

Law professors are unsure that AI has already reduced entry-level legal hiring—but many expect it to do so in the future. Primary Research Group surveyed 114 law-school faculty about AI's impact on legal education and the profession. Asked whether AI had already decreased demand for new associates, 51.75% were unsure. Only 16.67% believed demand had declined, while 29.82% did not perceive a decrease.

The outlook changes when faculty look ahead. Nearly half—46.49%—expect AI to reduce future demand for new associates. Only 19.30% disagree. The contrast is important: faculty see limited evidence of displacement today, but substantial risk as firms improve tools, redesign workflows and learn which junior-level tasks can be automated or completed faster.

That does not mean law schools should train fewer students or treat AI as a substitute for legal judgment. It means curricula must prepare graduates to add value above the tool. Faculty support for that shift is strong. The survey found that 71.93% favored incorporating AI into required core courses, and 77.19% favored integrating it into legal research and writing.

For law schools, the near-term challenge is curricular timing. Students entering now will graduate into a market that may use AI more intensively than the market faculty can observe today. Training should therefore combine tool competence with verification, client confidentiality, citation accuracy, professional responsibility and the ability to recognize when an AI-generated answer is incomplete or wrong.

The likely competitive advantage will not go to graduates who merely know how to prompt a model. It will go to those who can supervise AI-assisted work, test its output and use the time saved to deliver better analysis and client service.