Legal Secretaries and Administrative Assistants

Imminent Risk
88%

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Vote Comments (2)
AUTOMATION RISK
CALCULATED
100%
(Imminent Risk)
POLLING
76%
(High Risk, Based on 67 votes)
Average: 88%
LABOR DEMAND
GROWTH
-5.1%
by year 2033
WAGES
$50,680
or $24.36 per hour
Volume
152,790
as of 2023
SUMMARY
What does this snowflake show?
The Snowflake is a visual summary of the five badges: Automation Risk (calculated), Risk (polled), Growth, Wages and Volume. It gives you an instant snapshot of an occupations profile. The colour of the Snowflake relates to its size. The better the occupation scores in relation to others, the larger and greener the Snowflake becomes.
JOB SCORE
1.9/10
What's this?
Job Score (higher is better):

We rate jobs using four factors. These are:

- Chance of being automated
- Job growth
- Wages
- Volume of available positions

These are some key things to think about when job hunting.

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Calculated automation risk

100% (Imminent Risk)

Imminent Risk (81-100%): Occupations in this level have an extremely high likelihood of being automated in the near future. These jobs consist primarily of repetitive, predictable tasks with little need for human judgment.

More information on what this score is, and how it is calculated is available here.

Some quite important qualities of the job are difficult to automate:

  • Social Perceptiveness

User poll

76% chance of full automation within the next two decades

Our visitors have voted that it's probable this occupation will be automated. This assessment is further supported by the calculated automation risk level, which estimates 100% chance of automation.

What do you think the risk of automation is?

What is the likelihood that Legal Secretaries and Administrative Assistants will be replaced by robots or artificial intelligence within the next 20 years?

Sentiment

The following graph is shown where there are enough votes to produce meaningful data. It displays user poll results over time, providing a clear indication of sentiment trends.

Sentiment over time (yearly)

Growth

Very slow growth relative to other professions.

The number of 'Legal Secretaries and Administrative Assistants' job openings is expected to decline 5.1% by 2033

Total employment, and estimated job openings

* Data from the Bureau of Labor Statistics for the period between 2023 and 2033
Updated projections are due 09-2025.

Wages

Low paid relative to other professions

In 2023, the median annual wage for 'Legal Secretaries and Administrative Assistants' was $50,680, or $24 per hour

'Legal Secretaries and Administrative Assistants' were paid 5.5% higher than the national median wage, which stood at $48,060

Wages over time

* Data from the Bureau of Labor Statistics

Volume

Greater range of job opportunities compared to other professions

As of 2023 there were 152,790 people employed as 'Legal Secretaries and Administrative Assistants' within the United States.

This represents around 0.10% of the employed workforce across the country

Put another way, around 1 in 993 people are employed as 'Legal Secretaries and Administrative Assistants'.

Job description

Perform secretarial duties using legal terminology, procedures, and documents. Prepare legal papers and correspondence, such as summonses, complaints, motions, and subpoenas. May also assist with legal research.

SOC Code: 43-6012.00

Comments (2)

Agent K (Highly likely)
07 Aug 2025 03:00
Simply put, it has already begun quite some time ago and is accelerating. Why because that is the intrinsic nature of exponential and algorithms.
When something is more or less a recipe of rinse and repeat with minor variations, and doesn't require dexterity moving parts it is the first to not necessarily go extinct but requires far less humans than before to achieve greater efficiencies and therefore output with less resources. AKA great disruption to the former order with casualties.
Kay (Low)
17 Oct 2024 15:56
Accuracy is paramount in the drafting and submission of legal documents. Furthermore, requests for release of information and conversing with clients require analyzing and compiling receiving information with human judgement that AI isn't capable of completing.
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