How legal occupations are reshaped as AGI capability advances.

About 65% of the work in Legal Occupations is information-shaped and increasingly AI-deliverable, with the rest a hybrid of judgment and hands-on work. The automation frontier runs straight through the middle of this role.
Why: Because the grounding block is empty of specific tools, work activities, or context attributes for this Major Group, the scalar relies entirely on the seeded 'Legal Occupations' name and description anchor. Following calibration guidelines, legal roles blend heavy digital knowledge work (legal research and document drafting) with required in-person human presence (courtroom litigation and client counseling), placing it in the upper end of the hybrid band.
grounded in the economy graph · digital scalar 0.65 · hybrid
Which of this work becomes digital labor — performed under typed authority, promoted to autonomy on track record.
Legal Occupations is typically employed by 289 company types — the demand side that decides which of this role's tasks get handed to agents, and on what authority.
+277 more via typicallyEmploys
The software here going agent-consumable — where the API, not the UI, becomes the way the work gets done.
Legal Occupations relies on 4 products. The headless dimension of each — whether an agent can call it without a screen — is what decides how much of this work goes hands-free.
The software Legal Occupations reaches for already exposes 8 agent-callable actions (via uses → exposedBy) — typed surfaces an agent invokes directly, no human screen in the loop. The work routes to the API, not the UI.
Node-intrinsic problems read straight off the graph (exposesProblem) — the evergreen wedges a builder could take into this space.
+17 more problems on the graph
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