Lawyers

← The GenAI exposure gradient

On the International Labour Organization's 2025 global study, the 10 task statements that define Lawyers (ISCO-08 2611) score an average of 0.36 on a 0–1 exposure scale — more exposed than about 67% of the 427 placed occupations. Roughly 0% of its tasks fall somewhere on the exposed part of the gradient, and the typical task lands in the Minimal band.

Exposure is task overlap, not a verdict. A high score means a generative-AI model can do part of the content of these tasks — it says nothing about whether the work is automated, whether anyone uses AI for it today, or whether jobs are lost. The gradient is scored on the international ISCO-08 system; the rest of Singulariki is U.S. O*NET/SOC, bridged below by an approximate, many-to-many crosswalk.

How its tasks split across the gradient

Each of the 10 scored tasks for this occupation, sorted into the six exposure bands — cool (human ground) to hot (almost fully assistable).

The most-exposed task

“Evaluating findings and develop strategies and arguments in preparation for presentation of cases;”

Scores 0.56 on the 2025 scale. The task of evaluating findings and developing strategies and arguments in preparation for presentation of cases involves a blend of analytical and strategic thinking, where generative AI can assist significantly with processing data, generating insights, and drafting initial arguments. However, like other knowledge-intensive tasks such as "Creating and supervising the implementation of business plans" (score 0.42) and "Developing customer service strategies" (score 0.38), it requires human oversight for nuanced judgment and strategic alignment. It is semantically close to tasks like "Analyzing and evaluating strategies" (automation score 0.625) in terms of the need for human judgment, creativity, and contextual understanding. These comparisons suggest a potential higher automation capability in structuring and developing initial drafts, but not fully automating strategic decision-making and presentation preparations. The task benefits from AI's capability to support strategic argumentation through pattern recognition and information synthesis in a technological environment like Poland, thus justifying an adjusted score of 0.58.

Moving fastest, 2023 → 2025

“Acting as prosecutor on behalf of the Government;”

Model capability on this task changed by +0.15 in two years — the gradient is not static, it is filling in.

U.S. occupations this maps to

The American O*NET/SOC roles that crosswalk to ISCO-08 2611, biggest by employment first, via the published (approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 correspondence. These are the closest U.S. matches — not an asserted one-to-one identity.

• Lawyers

In context

Part of the 2 - Professionals major group. Return to the full gradient to see how the whole group sits.

Lawyers sit at the 67th percentile of the global GenAI exposure gradient

• Across 427 international occupations scored by the ILO, Lawyers rank in the 67th percentile for GenAI task exposure — overlap with what generative AI can attempt, not a projection of displacement. (ILO / Gmyrek et al. (2025) GenAI exposure gradient)
• About 0% of this occupation's tasks fall into an exposed gradient band. (ILO / Gmyrek et al. (2025))
• Mean task exposure rose by 0.03 between the 2023 and 2025 model-capability snapshots. (ILO / Gmyrek et al. (2025), 2023→2025)
• Its most-exposed task: "Evaluating findings and develop strategies and arguments in preparation for presentation of cases;". (ILO / Gmyrek et al. (2025))

Source: Singulariki — "Lawyers". https://singulariki.com/gradient/2611-lawyers.html
Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.