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法律

AI暴露度

  • 数据来源: BLS发布时间: '26.08

    · 相对

    四级相对区间很高

    职业群单位数值

    尺度 · 母数 · 来源

    四级相对类别(低 / 中等 / 高 / 很高)

    以BLS就业预测表中831个细分职业为基数。取值按 NEM(全国就业矩阵)代码给定,因此共用同一 NEM 代码的职业得到相同分档

    来源数据集(XLSX 文件下载)

  • 数据来源: Anthropic发布时间: '26.03

    0.293

    0.000此处所载数值的范围0.745
    尺度 · 母数 · 来源

    观测暴露度指数,按发布原值0–1

    以O*NET任务映射为基准

    来源数据集

  • 数据来源: ILO发布时间: '25

    0.39

    0.09此处所载数值的范围0.70

    职业群单位数值

    尺度 · 母数 · 来源

    生成式AI暴露度指数,按发布原值0–1

    ISCO-08职业小类单位 — 共用同一代码的职业取值相同

    本站计算,并非国际劳工组织发布的数值。在本站与 ILO 数据集相连的 1,012 个职业中,达到或高于此值的占 44%。

    来源数据集

该来源发布的是什么性质的数值

BLS的类别是相对排位而非绝对水平,也不是一手测量:它把多项已发表研究给出的职业百分位排名归并为四个等级。它不是就业或工资预测,不是采用概率,也不区分自动化与增强。

Task-level exposure

显示隐藏的 2 项工作

Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.

TaskβE1 + 0.5 × E2
Prepare legal documents, including briefs, pleadings, appeals, wills, contracts, and real estate closing statements.

O*NET Task ID 1634

1.0
Prepare affidavits or other documents, such as legal correspondence, and organize and maintain documents in paper or electronic filing system.

O*NET Task ID 18491

1.0
Gather and analyze research data, such as statutes, decisions, and legal articles, codes, and documents.

O*NET Task ID 1636

0.5
Direct and coordinate law office activity, including delivery of subpoenas.

O*NET Task ID 1639

0.5
Keep and monitor legal volumes to ensure that law library is up-to-date.

O*NET Task ID 1641

0.5
Appraise and inventory real and personal property for estate planning.

O*NET Task ID 1642

0.5
Prepare for trial by performing tasks such as organizing exhibits.

O*NET Task ID 18492

0.5
File pleadings with court clerk.

O*NET Task ID 18494

0.5
Arbitrate disputes between parties and assist in the real estate closing process, such as by reviewing title searches.

O*NET Task ID 18496

0.5
Investigate facts and law of cases and search pertinent sources, such as public records and internet sources, to determine causes of action and to prepare cases.

O*NET Task ID 21062

0.5

β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.

Data sources & licenses — O*NET®, Eloundou et al. (2023): see full notices on the Credits page

Occupation information

与本职业相关的近期变化

2026年4月: OpenAI Jobs Transition Framework (April 2026) classifies paralegals in the 18% high-risk cluster: heavy document review, citation checking, and templated drafting are core LLM strengths.

[来源: OpenAI Jobs Transition Framework, April 2026]

2026年3月: Brookings: regulated sectors (law) show constrained AI adoption due to privacy and liability concerns.

[来源: Brookings Institution]

2026年3月: HBR: Paralegals classified as automation-vulnerable due to high text-processing task share. Job postings declining as AI handles document review and legal research.

[来源: HBR (Mar 2026)]