فاحصو ومستخلصو سندات الملكية
القانونالتعرّض للذكاء الاصطناعي
- مصدر البيانات: BLSتاريخ النشر: 2026-08
مرتفع· نسبي
منخفضأربع فئات نسبيةمرتفع جدًاقيمة على مستوى المجموعة المهنية
المقياس والأساس والمصدر
أربع فئات نسبية (منخفض / متوسط / مرتفع / مرتفع جدًا)
831 مهنة تفصيلية في جدول توقعات التوظيف لدى BLS. وتُسند القيمة على مستوى رمز مصفوفة التوظيف الوطنية (NEM)، فالمهن التي تشترك في الرمز نفسه تأخذ النطاق نفسه
- مصدر البيانات: Anthropicتاريخ النشر: 2026-03
0.022
0.000نطاق القيم المعروضة هنا0.745المقياس والأساس والمصدر
- مصدر البيانات: ILOتاريخ النشر: 2025
0.39
0.09نطاق القيم المعروضة هنا0.70قيمة على مستوى المجموعة المهنية
المقياس والأساس والمصدر
مؤشر التعرّض للذكاء الاصطناعي التوليدي، 0–1 كما نُشر
وحدة التصنيف ISCO-08 — تأخذ كل المهن ذات الرمز نفسه هذه القيمة
محسوب من قِبل هذا الموقع وليس منشورًا من منظمة العمل الدولية: من بين 1,012 مهنة يربطها هذا الموقع بمجموعة بيانات المنظمة، تبلغ نسبة التي تساوي هذه القيمة أو تتجاوزها 44%.
ما نوع القيمة التي ينشرها هذا المصدر
فئة BLS رتبة نسبية لا مستوى مطلق، وليست قياسًا مباشرًا: فهي تجمع الرتب المئينية للمهنة في عدة دراسات منشورة في أربع فئات. وهي ليست توقّعًا للتوظيف أو الأجور، ولا احتمالًا للتبني، ولا تفرّق بين الأتمتة والتعزيز.
Task-level exposure
المهام ذات التعرض فقط| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Enter into record-keeping systems appropriate data needed to create new title records or to update existing ones.23-2093 | 0.0100100.0 | 0.020066.7 |
Examine documentation such as mortgages, liens, judgments, easements, plat books, maps, contracts, and agreements to verify factors such as properties' legal descriptions, ownership, or restrictions.23-2093 | 0.00000.0 | 0.00000.0 |
Retrieve and examine real estate closing files for accuracy and to ensure that information included is recorded and executed according to regulations.23-2093 | 0.00000.0 | —0 |
Read search requests to ascertain types of title evidence required and to obtain descriptions of properties and names of involved parties. | —0 | 0.010033.3 |
| Not observed on any surface — 12 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. | ||
Prepare lists of all legal instruments applying to a specific piece of land and the buildings on it. | —0 | —0 |
Copy or summarize recorded documents, such as mortgages, trust deeds, and contracts, that affect property titles. | —0 | —0 |
Examine individual titles to determine if restrictions, such as delinquent taxes, will affect titles and limit property use. | —0 | —0 |
Prepare reports describing any title encumbrances encountered during searching activities and outlining actions needed to clear titles. | —0 | —0 |
Verify accuracy and completeness of land-related documents accepted for registration, preparing rejection notices when documents are not acceptable. | —0 | —0 |
Confer with realtors, lending institution personnel, buyers, sellers, contractors, surveyors, and courthouse personnel to exchange title-related information or to resolve problems. | —0 | —0 |
Obtain maps or drawings delineating properties from company title plants, county surveyors, or assessors' offices. | —0 | —0 |
Direct activities of workers who search records and examine titles, assigning, scheduling, and evaluating work, and providing technical guidance as necessary. | —0 | —0 |
Prepare and issue title commitments and title insurance policies, based on information compiled from title searches. | —0 | —0 |
Summarize pertinent legal or insurance details, or sections of statutes or case law from reference books for use in examinations or as proofs or ready reference. | —0 | —0 |
Determine whether land-related documents can be registered under the relevant legislation, such as the Land Titles Act. | —0 | —0 |
Assess fees related to registration of property-related documents. | —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 |
|---|---|
Read search requests to ascertain types of title evidence required and to obtain descriptions of properties and names of involved parties.O*NET Task ID 9232 | 1.0 |
Copy or summarize recorded documents, such as mortgages, trust deeds, and contracts, that affect property titles.O*NET Task ID 9233 | 1.0 |
Enter into record-keeping systems appropriate data needed to create new title records or to update existing ones.O*NET Task ID 9238 | 1.0 |
Prepare lists of all legal instruments applying to a specific piece of land and the buildings on it.O*NET Task ID 9230 | 0.5 |
Examine documentation such as mortgages, liens, judgments, easements, plat books, maps, contracts, and agreements to verify factors such as properties' legal descriptions, ownership, or restrictions.O*NET Task ID 9231 | 0.5 |
Examine individual titles to determine if restrictions, such as delinquent taxes, will affect titles and limit property use.O*NET Task ID 9234 | 0.5 |
Prepare reports describing any title encumbrances encountered during searching activities and outlining actions needed to clear titles.O*NET Task ID 9235 | 0.5 |
Verify accuracy and completeness of land-related documents accepted for registration, preparing rejection notices when documents are not acceptable.O*NET Task ID 9236 | 0.5 |
Direct activities of workers who search records and examine titles, assigning, scheduling, and evaluating work, and providing technical guidance as necessary.O*NET Task ID 9239 | 0.5 |
Obtain maps or drawings delineating properties from company title plants, county surveyors, or assessors' offices.O*NET Task ID 9240 | 0.5 |
Confer with realtors, lending institution personnel, buyers, sellers, contractors, surveyors, and courthouse personnel to exchange title-related information or to resolve problems.O*NET Task ID 9237 | 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