AI Erodes Big Law's Junior Training Pipeline
SkimNews Take
AI's ability to automate foundational legal tasks could inadvertently shift the burden of early-career training onto law schools or smaller firms, requiring a re-evaluation of how practical experience is integrated into legal education and career progression.
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- Stanford Law professor David Freeman Engstrom told Axios firms are racing to "extract the knowledge of their lawyers" and embed it in AI workflows, potentially paving the way for "a world in which you need fewer human lawyers."
- A&O Shearman and Harvey announced AI agents targeting complex legal workflows, to be used internally and sold to clients and other law firms.
- Paul, Weiss, Rifkind, Wharton & Garrison began testing Harvey AI tools in 2023 and has since embedded them into everyday legal work including drafting and document analysis.
- Clifford Chance, one of the largest international law firms, announced job cuts last year citing increased AI adoption, with the Financial Times reporting roughly 10% London headcount reductions.
- A major 2025 Thomson Reuters legal market report found firms have "reduced the pace" of associate hiring or shrunk summer associate programs — the high-paid internships used to recruit future talent.
- University of Houston Law Center professor Nik Guggenberger warned that if work training junior associates is automated, "there's no real material anymore for them to train on," making it very hard to break into the profession.
- University of Houston Law Center's Tiffany J. Tucker pushed back, arguing AI may create new legal jobs and that students with AI skills are already "the more attractive candidates."
Why it matters: Big Law's leverage model — the pyramid of junior associates billing hours under a few partners — has financed the training pipeline that produces partners. If firms like Clifford Chance are already cutting headcount and Thomson Reuters data shows hiring is slowing, the next class of lawyers may enter a profession with no on-ramp to build the judgment needed to supervise the AI systems replacing them.
