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Analysis & commentary

Rethinking lawyer development in future AI-enabled law firms

Thomson Reuters Institute · 2025 · Thomson Reuters Institute

The futureAdoptionAnyone responsible for training juniors
Why it is on the shelf. Addresses the question the profession is quietest about — not how many juniors firms will hire, but how the ones they do hire will become competent seniors.

The Institute's reading

The headcount debate gets the attention and it is the less tractable question. This piece is useful because it goes to the one that firms can actually act on: junior roles are changing first and most, shifting away from producing first drafts, research memoranda and document review toward reviewing, validating and overseeing output produced by a system.

The difficulty is that the displaced tasks were not merely output — they were the training. Document review taught what matters in a document. Research memos taught the map of an area, including the wrong turns, which is where most of the learning was. First drafts taught how a document is constructed and why each clause is there. Remove them and the firm still gets the work product, and stops getting the lawyer.

The circularity is the part to sit with. The plan most firms describe is that AI produces and juniors verify — but verification presupposes enough knowledge to know when something is wrong, and that knowledge came from doing the work AI now does. A junior who has never built the analysis can confirm a citation exists and cannot judge whether the reasoning holds. Firms that have not addressed this have a plan that assumes its own output.

Key propositions

  • Junior roles are changing earliest and most, from production toward review and oversight.
  • The tasks being automated were the primary mechanism by which juniors developed judgement.
  • Reviewing AI output is genuine training only on top of foundational experience, not as a substitute.
  • Firms expect an influx of technologists and data specialists alongside lawyers.

In practice

  • Training that previously happened as a by-product of the work now has to be designed deliberately.
  • Dual-track work — doing a task manually and with AI, then comparing — is the most cited practical response.
  • Client and matter exposure has to come earlier if production work no longer fills the first two years.

Where authorities disagree

Whether firms will need fewer juniors is genuinely contested and both positions are coherent: one holds that automating junior work reduces the need for juniors, the other that cheaper legal work expands demand and that supervising AI at scale still takes people. What is much less contested is that the composition of junior work is changing sharply — which affects training regardless of how the headcount question resolves, and is the reason this entry is filed under development rather than economics.

AI adoption conciergeorientation · not legal or ethics advice
Happy to dig into it. What would you like to pressure-test from Rethinking lawyer development in future AI-enabled law firms: one of its propositions, how it applies to your situation, or where it disagrees with the rest of the shelf?