Artificial intelligence is erasing some of the entry-level legal work that has long served as the training ground for the next generation of elite lawyers. This shift threatens Big Law’s foundational business model, which relies on armies of junior associates learning on the job.

Big Law’s entire model depends on the early-career grind of junior and summer associates, where foundational skills are developed through hands-on experience. But as firms race to embed AI into workflows, client portals, and self-service tools, the path to partnership is being rewritten in real time.

Experts Warn of a Looming Talent Crisis

Stanford Law professor David Freeman Engstrom tells Axios that firms are working to "extract the knowledge of their lawyers" and integrate it into AI systems. This could lead to "a world in which you need fewer human lawyers," he warns.

"If more and more of that work that trains junior associates is being automated, then there's no real material anymore for them to train on." — Nik Guggenberger, University of Houston Law Center

Guggenberger adds that if the profession shifts toward a model dominated by partners and AI agents, breaking into Big Law could become significantly harder for newcomers.

Could AI Create New Legal Jobs Instead?

Tiffany J. Tucker, assistant dean for career development at the University of Houston Law Center, offers a more optimistic view. She argues that AI may not eliminate entry-level roles but instead create new ones—particularly for candidates with AI proficiency.

"Students with AI skills are becoming the more attractive candidates. If you don't have prowess using AI, you're going to be left behind." — Tiffany J. Tucker

Engstrom also suggests that AI could unlock entirely new categories of legal work by addressing needs that are currently unmet.

The State of AI Adoption in Big Law

Firms are not just experimenting with AI—they are restructuring around it. Major players are deploying AI for:

  • Legal research
  • Litigation preparation
  • Document review
  • Case law analysis

Judges are also beginning to use AI tools for drafting and summarizing opinions.

Firms Leading the AI Charge

A&O Shearman and Harvey recently announced AI agents designed for complex legal workflows, which will be used internally and sold to clients and other firms.

Paul, Weiss, Rifkind, Wharton & Garrison began testing AI tools like Harvey in 2023 and has since embedded them into everyday legal work, from drafting to document analysis.

The Efficiency Paradox: Fewer Billable Hours, Fewer Jobs

As AI accelerates legal work, firms are facing an "efficiency paradox": faster completion of tasks reduces the need for billable human hours. Some major firms have already adjusted their headcounts in response.

Clifford Chance, one of the largest international law firms, announced job cuts last year, citing increased AI adoption as a key factor, according to the Financial Times.

A major 2025 legal market report found that firms have "reduced the pace" of associate hiring or scaled back summer associate programs—the high-paid internships used to recruit and train future talent.

What’s Next for Legal Apprenticeship?

Guggenberger highlights a critical challenge: junior work has always served two purposes—billing and training. If AI automates the tasks that traditionally train new lawyers, firms must invent a new apprenticeship system or risk creating a generation of lawyers who can supervise AI outputs without the judgment to assess their accuracy.

"If AI removes the low-level reps, firms must invent a new apprenticeship system or risk creating lawyers who can supervise AI outputs without having built the judgment to know when those outputs are wrong." — Nik Guggenberger

Engstrom emphasizes that the next year will be pivotal as firms grapple with how to use client data, build AI workflows, and navigate consent issues in this evolving landscape.

As AI automates more law firm work, the traditional "leverage model"—which relies on high ratios of junior associates to partners—may no longer be sustainable.

Source: Axios