弁護士
法律AI露出度
- データ出典: BLS公表時点: '26.08
非常に高い· 相対
低い4段階の相対区分非常に高い職業群単位の値
尺度・母数・出典
4段階の相対区分（低い / 中程度 / 高い / 非常に高い）
BLS雇用見通し表の詳細職業831件が母数。値は NEM(全国雇用マトリクス)コード単位で付与されるため、同じ NEM コードの職業は同じバンドになります
- データ出典: Anthropic公表時点: '26.03
0.167
0.000ここに掲載された値の範囲0.745尺度・母数・出典
- データ出典: ILO公表時点: '25
0.36
0.09ここに掲載された値の範囲0.70職業群単位の値
尺度・母数・出典
生成AI露出度指数、公開されたまま0–1
ISCO-08の職業小分類単位 — 同じコードの職業はすべて同じ値
当サイトの算出であり、ILOが公表した数値ではありません。当サイトがILOデータセットに結び付けた職業1,012件のうち、この値以上のものは60%です。
この出典がどのような性格の値か
BLSの区分は絶対水準ではなく相対順位であり、一次測定でもありません。複数の既存研究が付けた職業別パーセンタイル順位を4段階にまとめた値です。雇用や賃金の予測でもなく、導入確率でもなく、自動化と増強を区別しません。
Task-level exposure
露出のある作業のみ| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Interpret laws, rulings and regulations for individuals and businesses.23-1011 | 0.051636.1 | 0.006643.8 |
Prepare legal briefs and opinions, and file appeals in state and federal courts of appeal.23-1011 | 0.033723.6 | 0.002013.0 |
Advise clients concerning business transactions, claim liability, advisability of prosecuting or defending lawsuits, or legal rights and obligations.23-1011 | 0.027919.5 | 0.002516.4 |
Prepare and draft legal documents, such as wills, deeds, patent applications, mortgages, leases, and contracts.23-1011 | 0.01057.4 | —0 |
Evaluate findings and develop strategies and arguments in preparation for presentation of cases.23-1011 | 0.01017.1 | —0 |
Analyze the probable outcomes of cases, using knowledge of legal precedents.23-1011 | 0.00523.6 | 0.002214.4 |
Examine legal data to determine advisability of defending or prosecuting lawsuit.23-1011 | 0.00211.5 | 0.001912.3 |
Gather evidence to formulate defense or to initiate legal actions, by such means as interviewing clients and witnesses to ascertain the facts of a case.23-1011 | 0.00171.2 | —0 |
| Not observed on any surface — 14 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | ||
Present and summarize cases to judges and juries. | —0 | —0 |
Represent clients in court or before government agencies. | —0 | —0 |
Select jurors, argue motions, meet with judges, and question witnesses during the course of a trial. | —0 | —0 |
Present evidence to defend clients or prosecute defendants in criminal or civil litigation. | —0 | —0 |
Study Constitution, statutes, decisions, regulations, and ordinances of quasi-judicial bodies to determine ramifications for cases. | —0 | —0 |
Negotiate settlements of civil disputes. | —0 | —0 |
Confer with colleagues with specialties in appropriate areas of legal issue to establish and verify bases for legal proceedings. | —0 | —0 |
Supervise legal assistants. | —0 | —0 |
Perform administrative and management functions related to the practice of law. | —0 | —0 |
Search for and examine public and other legal records to write opinions or establish ownership. | —0 | —0 |
Act as agent, trustee, guardian, or executor for businesses or individuals. | —0 | —0 |
Probate wills and represent and advise executors and administrators of estates. | —0 | —0 |
Help develop federal and state programs, draft and interpret laws and legislation, and establish enforcement procedures. | —0 | —0 |
Work in environmental law, representing public interest groups, waste disposal companies, or construction firms in their dealings with state and federal agencies. | —0 | —0 |
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.
| Task | βE1 + 0.5 × E2 |
|---|---|
Advise clients concerning business transactions, claim liability, advisability of prosecuting or defending lawsuits, or legal rights and obligations.O*NET Task ID 3773 | 0.5 |
Interpret laws, rulings and regulations for individuals and businesses.O*NET Task ID 3774 | 0.5 |
Analyze the probable outcomes of cases, using knowledge of legal precedents.O*NET Task ID 3775 | 0.5 |
Present and summarize cases to judges and juries.O*NET Task ID 3776 | 0.5 |
Evaluate findings and develop strategies and arguments in preparation for presentation of cases.O*NET Task ID 3777 | 0.5 |
Gather evidence to formulate defense or to initiate legal actions by such means as interviewing clients and witnesses to ascertain the facts of a case.O*NET Task ID 3778 | 0.5 |
Examine legal data to determine advisability of defending or prosecuting lawsuit.O*NET Task ID 3780 | 0.5 |
Present evidence to defend clients or prosecute defendants in criminal or civil litigation.O*NET Task ID 3782 | 0.5 |
Study Constitution, statutes, decisions, regulations, and ordinances of quasi-judicial bodies to determine ramifications for cases.O*NET Task ID 3783 | 0.5 |
Prepare legal briefs and opinions, and file appeals in state and federal courts of appeal.O*NET Task ID 3785 | 0.5 |
Represent clients in court or before government agencies.O*NET Task ID 3779 | 0.0 |
Select jurors, argue motions, meet with judges, and question witnesses during the course of a trial.O*NET Task ID 3781 | 0.0 |
Supervise legal assistants.O*NET Task ID 3789 | 0.0 |
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®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page
Occupation information
この職業に関わる最近の変化
2026年4月: Goldman Sachs identifies lawyers as high augmentation potential from AI
[出典: Fortune/Goldman Sachs]2026年4月: OpenAI framework explicitly classifies lawyers (licensed, courtroom) as INSULATED — buffered by regulatory necessity (bar admission, signature liability) even when AI drafts the brief.
[出典: OpenAI Jobs Transition Framework, April 2026]2026年3月: Karpathy rates lawyers 9/10 for AI exposure, citing text-heavy nature of legal work as key driver.
[出典: Karpathy AI Exposure Score (Fortune)]