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Will AI replace legal secretaries and administrative assistants?

A little.

Drafting and formatting move to software, but the docket, the court filings and client contact still sit with a person. This job scores 66 out of 100 on (higher is safer). Today AI could do about 13% of the work by itself, people do 55% with AI’s help, and 32% still needs a person.

Updated 3 October 2026 43-6012 4212, 4215 2026-Q4
Office and Administrative SupportLegal Secretaries and Administrative Assistants43-6012 · 2026-Q4
13% AI does it55% AI helps32% needs a human
Your job's name, lit by the work that still needs a human.Needs a human 32%AI helps 55%AI does it 13%

AI does it: AI can do the task largely by itself. AI helps: a person still does it, faster with AI. Needs a human: AI can do little of it yet.

Why this job keeps a person in the chair

Legal support work runs on deadlines set by other people. A filing window closes. A judge wants a specific format. A client calls back at 4:50 p.m. with a document that changes the pleading. Software can draft fast, but someone has to own the calendar, the court rules and the consequences of a late filing.

Two tasks show the split well. Preparing pleadings, correspondence and routine contracts from existing templates is pattern work, and language models handle patterns. Attending client interviews, hearings and depositions, taking notes and turning them into usable records is not pattern work. It needs presence, discretion and a judgment call about what matters.

There is a third thing that holds the role together: the file. Case files, exhibits and signed originals have to be organized, tracked and produced on request. Tools help with that, but the responsibility for an accurate, privileged, court-ready file sits with a named human at the firm.

What software drafts, what it assists with, and what stays with staff

Software already handles a slice of the day on its own. Drafting standard letters and template documents, and running database searches of statutes and decisions to pull candidate authorities, are the clearest examples. The task split above puts 13% of task time in that group. Those outputs still get checked before they leave the office.

A larger part of the work is assisted rather than handed over. Summarizing medical or employment records, cleaning up formatting, transcribing dictation, and sorting incoming correspondence all go faster with a tool in the loop. Assisted tasks account for 55% of task time. The pattern is familiar: the first draft gets cheaper, the review does not.

Then there is the part that stays with people: 32% of task time. That is the deposition and hearing attendance, the client contact, the court filings made under a specific clerk’s rules, and the calendaring that keeps a matter alive. On the headline measure, this job scores 66 out of 100 (higher is safer). Can AI do it? Our coverage figure, 38 on a 0-100 scale, is explained on the coverage method page.

What has actually been measured

Not much, for this job specifically. The evidence grade here is D, which means no study has tested an AI system against a working legal secretary on this job’s real tasks. Because of that, we publish no parity number. Is it better than a person? There is no honest answer yet, and our quality parity method explains why we leave it blank rather than guess.

What would settle it is specific: a timed test where qualified legal assistants and an AI system both prepare filings for real court rules, calendar a docket, and produce a case file, scored on accuracy, missed deadlines and rework. Benchmarks on legal research questions do not cover that, because research is only one strand of the job.

The outside numbers that do exist are about demand, not quality. BLS counts about 156,280 legal secretaries and administrative assistants in the US, with median pay of $55,570, and projects employment to fall roughly 5% between 2025 and 2035 (BLS, 2025). That is a shrinking entry door rather than a job disappearing. You can see how that compares across office roles in the secretaries and administrative assistants family.

The timeline, and what moves it

Most likely between 2036 and 2050 (8 in 10 of our scenarios). The replacement year method sets out exactly what that window measures and how it is built.

Two things could pull it earlier. Document assembly is already native to practice management systems, so adoption does not need a new vendor, just a setting turned on. And the cost gap is wide: the panel above puts annual software spend far below the cost of a salaried assistant, which is the kind of math partners act on when billable rates are under pressure.

Two things hold it back. Confidentiality and privilege rules make firms cautious about pushing client material through outside systems, and malpractice exposure makes a human signature on filings non-negotiable in practice. The physical side also resists: the robotics tier for this job is fixed automation, meaning scanners, copiers and mail equipment, not a machine that walks a courtesy copy to the clerk’s window.

Good to know: the roles thinning fastest are the ones built almost entirely on typing and formatting, not the ones holding the docket.

Three things to lean into

Pick the tasks that already sit in the human column. Own the docket and the court-rule calendar for your matters, including local and judge-specific requirements. Be the person who handles client contact when a case gets tense. Take the notes at hearings, interviews and depositions, and turn them into a record attorneys actually use.

Two skills pay off alongside that. The first is e-filing and court technology across the systems your firm touches, state and federal. The second is checking AI output for the things it gets wrong in legal work: invented citations, wrong jurisdiction, stale rules. Our guide to AI skills employers want covers the second in more detail.

If you are weighing a move, the closest work is next door. Paralegals and legal assistants trade formatting for substantive case work. Executive secretaries and executive administrative assistants lean on judgment and access rather than document volume. General secretaries and administrative assistants sit on a broader base of employers. You can put any two of them side by side on the job comparison tool, see where legal support sits among jobs most at risk, or read how every figure on this page is built on the methodology page. Firm-level context sits on the law firms sector page.

Frequently asked questions

Will AI take over legal secretary jobs?

Not as whole jobs, on the evidence available. The task split on this page shows a large share of document drafting and record summarizing already assisted by software, while hearings, client contact, filings and docket control stay with staff. The realistic change is fewer junior typing-heavy roles and more work per person, rather than the role ending.

Is AI going to take over administrative assistant jobs?

Administrative work is being eroded task by task. Scheduling, transcription, formatting and first-draft correspondence are the parts tools handle best. Judgment calls, confidential conversations, chasing people and owning a deadline are not. Compare the task lists on this page and on the general and executive assistant pages to see how the mix shifts by role.

What is the difference between a paralegal and a legal secretary?

A legal secretary supports a matter administratively: documents, correspondence, calendars, files and filings. A paralegal does substantive case work under attorney supervision, such as investigation, drafting legal arguments and discovery management. The two overlap in small firms. The paralegal page on this site shows a different task mix and a different set of blockers.

What skills should legal secretaries learn to stay employable?

Court e-filing systems, docket and deadline management, and fluency with the firm’s practice management software come first. Add proofreading AI output for wrong citations, wrong jurisdiction and outdated rules. Billing, trust accounting basics and client communication also travel well. These are the tasks the list above places outside what software handles alone.

What does the BLS say about the legal secretary job outlook?

The Bureau of Labor Statistics counts about 156,280 legal secretaries and administrative assistants in the US, with median annual pay of $55,570, and projects employment to decline roughly 5% between 2025 and 2035 (BLS, 2025). Decline means slower hiring and fewer openings over time, which hits entry-level candidates hardest.

Are law firms actually using AI for secretarial work?

Many firms use it for drafting routine correspondence, summarizing records and searching case databases. Adoption is uneven because client confidentiality and privilege rules limit what can be sent to outside systems. The blockers panel on this page lists the constraints that keep deployment slower than the underlying capability.

Each ridge is a slice of the job's task time.Needs a human 32%AI helps 55%AI does it 13%
The job’s mark

No two jobs leave the same print

Every job gets its own fingerprint, drawn from its code. The amber ridges are the share of task time that still needs a person. Below them, the same ridges are written out in ones and zeros: slate for the work AI helps with, white for the work AI can do.

Legal Secretaries and Administrative Assistants, O*NET-SOC 43-6012. 32% of the job’s task time still needs a human, so 32 of every 100 ridges are amber; slate is what AI helps with, white what AI can do.

What AI can and cannot do

The tasks that make up the job, from , and where AI stands on each today: , (a person does it, with AI speeding it up) or . 32% of the still needs a human.

Each block is one task; its height is its share of working time.Needs a human 32%AI helps 55%AI does it 13%
The job's task list: the parts AI can do are blacked out.Needs a human 32%AI helps 55%AI does it 13%
Organize and maintain law libraries, documents, and case files.Needs a human
Mail, fax, or arrange for delivery of legal correspondence to clients, witnesses, and court officials.Needs a human
Prepare and distribute invoices to bill clients or pay account expenses.AI helps
Prepare, proofread, or process legal documents, such as summonses, subpoenas, complaints, appeals, motions, or pretrial agreements.AI helps
Make photocopies of correspondence, documents, and other printed matter.Needs a human
Assist attorneys in collecting information such as employment, medical, and other records.AI helps
Complete various forms, such as accident reports, trial and courtroom requests, and applications for clients.AI helps
Receive and place telephone calls.AI helps
Schedule and make appointments.AI does it
Draft and type office memos.AI helps
Submit articles and information from searches to attorneys for review and approval for use.AI helps
Make travel arrangements for attorneys.AI does it
Attend legal meetings, such as client interviews, hearings, or depositions, and take notes.Needs a human
Review legal publications and perform database searches to identify laws and court decisions relevant to pending cases.AI helps

Is it better than a person? The evidence

No direct test against people in this job yet. Every study is , and vendor studies are labelled as such.

When could it be replaced?

When AI could largely do this job: 2036–2050

Most likely between 2036 and 2050 (8 in 10 of our scenarios). A range from our of how fast AI improves, how fast employers take it up and what holds it back, not a forecast that the job ends. “” has a strict meaning here. Today’s answer is at the top of the page; this is how it could change.

The sand is the human working years left, measured in the same 40-year glass for every job, so a safe trade starts nearly full and an exposed job with a thin layer.

The sand is the human working years left, in the same 40-year glass for every job.Years still needing a humanYears run out

How this job could shift, year by year

Where the job could sit on our scale each year to 2060, across the ten behind its .

Today
Will AI replace this job?
A little.
By 2045
90%
of our scenarios have AI largely doing this job by 2045 (Largely.)
0% still have it mostly needing a person (A little. or Nah.)
By 2060
100%
of our scenarios have AI largely doing this job by 2060 (Largely.)
0% still have it mostly needing a person (A little. or Nah.)

We run this job as ten scenarios spread across its replacement range. In each, the score moves towards the bottom band (Largely: AI could largely do the job) by the year that scenario reaches it, slowly at first and faster later, as adoption usually goes. Each bar splits the ten by the band they put the job in. The model stops at 2060. How the timeline works

Share of this job's scenarios in each verdict band, today to 20600%25%50%75%100%2026: 100.0% of scenarios: AI could do a little of this job (A little.)100%Today2030: 30.0% of scenarios: AI could do a little of this job (A little.)30%2030: 70.0% of scenarios: AI could partly do this job (Partly.)70%20302035: 40.0% of scenarios: AI could partly do this job (Partly.)40%2035: 40.0% of scenarios: AI could mostly do this job (Mostly.)40%2035: 20.0% of scenarios: AI could largely do this job (Largely.)20%20352040: 40.0% of scenarios: AI could mostly do this job (Mostly.)40%2040: 60.0% of scenarios: AI could largely do this job (Largely.)60%20402045: 10.0% of scenarios: AI could mostly do this job (Mostly.)10%2045: 90.0% of scenarios: AI could largely do this job (Largely.)90%20452050: 100.0% of scenarios: AI could largely do this job (Largely.)100%20502055: 100.0% of scenarios: AI could largely do this job (Largely.)100%20552060: 100.0% of scenarios: AI could largely do this job (Largely.)100%2060
Will AI replace the job?Largely.Mostly.Partly.A little.Nah.
Share of this job's scenarios in each band, year by year. Updated with every release.
Show the data
YearLargelyMostlyPartlyA littleNah
Today (2026)0.0%0.0%0.0%100.0%0.0%
20300.0%0.0%70.0%30.0%0.0%
203520.0%40.0%40.0%0.0%0.0%
204060.0%40.0%0.0%0.0%0.0%
204590.0%10.0%0.0%0.0%0.0%
2050100.0%0.0%0.0%0.0%0.0%
2055100.0%0.0%0.0%0.0%0.0%
2060100.0%0.0%0.0%0.0%0.0%

What’s stopping AI taking over?

The things that keep this work with people, strongest first. Each is scored 0 to 100 from work context, licensing and the evidence we have.

Evidence gapNo study yet compares AI with people doing this job, so employers have no proof it is good enough.
Clients want a personFace-to-face contact is rated 4.1 and physical closeness 2.5 out of 5; caring for or serving people is 3.1 out of 5 in importance.
LiabilityMistakes are rated 2.4 out of 5 for consequence and decisions 3.3 out of 5 for impact; someone has to answer for them.
RegulationWorkers rate responsibility for others' health and safety 2.4 out of 5.
Physical work27% of the task time is physical; robots have been shown on 100% of that time.
LicensingUsual entry requirement (BLS): high school diploma or equivalent, then moderate-term on-the-job training.

What would it cost to hand the work to AI?

The share of the year AI could handle (786 of 2,080 hours a year), priced two ways. Both are ranges, not quotes.

AI model usage, a year
$80–$7,860
A person’s wage for the same hours
$13,800–$34,670

AI cost covers model usage only: no integration, licences, oversight or the human time still needed to review the work. Human cost is the wage for the same hours, without benefits or overheads. As of 2026-10.

Robots and humanoids

AI software can only take the work at a screen. The rest needs a robot that can do it.

27%
of the task time is physical work
Fixed automation
the kind of robot the physical work would need
Mature and widely deployed in factories and warehouses, but the work has to be redesigned around the machine.

Source: Anthropic Economic Index, 'What work can robots do?' (30 September 2026); O*NET 31.0 task weights.

Which AI skills does this job lean on?

The job’s task time split by what an AI model would need to be good at, and where models stand today.

Each star is a task, grouped by the AI skill it leans on.Needs a human 32%AI helps 55%AI does it 13%
Writing · 32.4% of time
Strong
Drafts, edits and translates most routine documents at professional quality.
Analysis · 9.8% of time
Strong
Reliable on structured data and rules; uneven on judgement calls with thin information.
Coding · 0% of time
Strong
Agents complete many routine software tasks end to end; larger systems still need people.
Vision and design · 0% of time
Good
Reads documents, images and layouts well; specialist imaging needs dedicated, approved tools.
Speech · 9.3% of time
Good
Voice agents handle routine calls and live interpreting; complex or sensitive calls still go to people.
Planning and agents · 21% of time
Emerging
Multi-step agents work in narrow, well-tooled workflows; open-ended coordination is unreliable.
Physical manipulation · 27.4% of time
Early
Robots handle structured, repetitive handling; general dexterity outside fixed settings is not commercial.
Care and persuasion · 0% of time
Limited
Can script, coach and advise; trust, presence and accountability still need a person.
Amber matter holds its orbit, slate circles the inner disc, white falls in.Needs a human 32%AI helps 55%AI does it 13%
How exposed is it?

Still needs a human: 66/100↑ safer

The amber matter on the outside holds its orbit: that is the task time that still needs a person. The slate matter circling the inner disc is the work AI helps with. The white matter is the share AI can do; it spirals in and is gone over the edge.

The matter follows the job’s task split: 32% needs a human, 55% AI helps, 13% AI does it. Still needs a human: 66/100 ↑ safer. Will AI replace them? A little.

What the AIs say

We asked four AI assistants the same question: will AI replace this job in the next 10 years? One word (Yes, Partly or No), then one sentence. Our own answer, from the data: Still needs a human: 66/100 ↑ safer. Will AI replace them? A little.

ChatGPTPartly

AI will automate many routine drafting, scheduling, filing, and document-management tasks, but human legal secretaries and administrative assistants will still be needed for judgment, client communication, confidentiality, coordination, and firm-specific workflows.

gpt-5.5-2026-04-23 · asked 2026-10-03
ClaudePartly

AI will automate many routine tasks like document drafting, scheduling, and transcription, but human judgment, client interaction, and oversight will likely still be needed, meaning roles will shrink and evolve rather than disappear entirely.

claude-sonnet-5 · asked 2026-10-03
GeminiPartly

While AI will automate routine tasks like scheduling, document drafting, and data entry, it will augment rather than fully replace these professionals, who will still be needed for complex problem-solving, ethical judgment, and high-touch human communication.

gemini-3.8-flash · asked 2026-10-03
PerplexityPartly

AI will automate much routine work and reduce some positions, but legal secretaries and administrative assistants who provide judgment, coordination, confidentiality, and relationship-based support will remain needed.

sonar · asked 2026-10-03

Assistants answer from what they learned in training (Perplexity also searches the web), so they can be confidently wrong, and the same question can get a different answer tomorrow. Our score is built from task data and graded evidence. Answers collected through DataForSEO.

Cite this page

NeedsAHuman.com (2026). Will AI replace Legal Secretaries and Administrative Assistants? A little. Still needs a human: 66/100, higher is safer; release 2026-Q4. https://needsahuman.com/jobs/legal-secretaries-and-administrative-assistants/ (accessed 4 October 2026).

Scores change with each , so cite the release. The data is open under : credit NeedsAHuman.com with a link. Open data · Press

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The badge updates itself with each release and links back to this page.

Sources

  • Tasks and work context: 31.0, ().
  • Jobs, pay and projections: US , and 2025–35.
  • How AI is used today: ; Microsoft Research, .
  • What AI can do: our task ratings ( r1) and the quality evidence register.
  • UK names and employment: coding index and .

How each score is built: methodology. Every figure on this page: open data. Release 2026-Q4.