PayCrunch Research · The exact AI playbook for your profession, sourced to the U.S. Bureau of Labor Statistics

PayCrunch AI Playbook · Government

How a patent examiner actually climbs the federal ladder

$185,100top of the range in North Carolina · middle $72,110 / yr
AI augments this role

Patent Examiners in the United States earn a median of $72,110 a year. Pay starts near $43,800. Pay reaches $185,100 at the top of the range in North Carolina, the best-paying state for this work among those with at least 500 people in the job.

Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Legal Support Workers, All Other, SOC 23-2099). Last checked 9 September 2026.

Entry level
$43,800
Top of the range · North Carolina
$185,100
Education
Bachelor's degree in Science or Engineering
Lower disruption Higher exposure AI augments this role
Entry · $43,800 Top of range · $185,100 (North Carolina) Middle $72,110

Wages — U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Legal Support Workers, All Other). Top of the range is the highest state-level figure among states with at least 500 people in the job. AI-impact rating is PayCrunch's editorial assessment. Updated September 2026.

🆕 New & Trending AI Tools for Patent ExaminerReviewed September 2026

We track new AI-tool launches every week and refresh this list — here’s what’s gaining traction for Patent Examiner work right now.

ChatGPT Gov / EnterpriseNEWEnterprise / see site

Secured version of ChatGPT approved for public-sector and enterprise use.

How a Patent Examiner uses it: draft, summarize, and research inside an approved, secured environment

Microsoft Copilot for GovernmentNEWGov cloud / see site

Copilot AI inside the government (GCC) versions of Word, Excel, Outlook and Teams.

How a Patent Examiner uses it: write documents, build spreadsheets, and summarize meetings in a compliant setup

Google Gemini for GovernmentNEWGov cloud / see site

Google's AI assistant in the public-sector version of Workspace.

How a Patent Examiner uses it: draft and research inside a FedRAMP-authorized Google environment

NotebookLMNEWFree / $7.99 mo

Google tool that answers questions grounded only in the documents you give it — with citations.

How a Patent Examiner uses it: load your own manuals, policies, or PDFs and ask questions that stay accurate to the source

MoveworksEnterprise / see site

AI assistant that handles employee IT, HR, and operations requests (FedRAMP authorized).

How a Patent Examiner uses it: get IT/HR answers and routine requests handled by chat instead of tickets

ChatGPTFree / $20 mo

The most-used AI assistant — writing, analysis, research, and images from a plain-language chat.

How a Patent Examiner uses it: draft emails and documents, summarize long files, and get instant answers to on-the-job questions

ClaudeFree / $20 mo

AI assistant known for careful writing, long-document analysis, and coding.

How a Patent Examiner uses it: analyze big reports or spreadsheets and turn messy notes into clean, finished writing

Google GeminiFree / $20 mo

Google's AI assistant, built into Gmail, Docs, and Search.

How a Patent Examiner uses it: draft and reply inside Google Workspace and research without leaving the page

Microsoft CopilotFree / $30 mo

AI built into Word, Excel, PowerPoint, Outlook, and Teams.

How a Patent Examiner uses it: write documents, build spreadsheets, and summarize meetings inside Office

A federal desk and a stack of applications

A patent examiner works for the federal government and reviews patent applications. The public picture is a lone expert stamping yes or no. The real day is quieter and more clerical than that myth, and also more demanding. An application arrives in a technology area the examiner has been assigned. It includes a description, drawings, and claims that try to mark the boundary of the invention. The examiner reads those papers, looks for earlier publications that sit close to the idea, and writes an official action the applicant can answer. Then the next application is already waiting. The pile is the job.

Examiners are grouped by technology. A mechanical group and a software group do not swap files for variety. The reading you master in one art unit is the reading that makes you fast and fair in that unit. Learning a new unit later is possible and it is a reset. People who thrive like close reading, can live with repetition, and can explain a decision in writing that a stranger can follow. People who need a new crisis every morning usually dislike the pace, however much they like science.

The applicant is usually represented by an agent or an attorney. You will know their names. You are not their colleague and you are not their opponent in a personal sense. You are the Office's reviewer. Courtesy is part of the role: clear letters, kept appointments, no sarcasm in the record. The record lasts longer than the mood you were in when you wrote it. Examiners who remember that write shorter letters and fewer letters they have to walk back.

Reading, searching, and the letter you sign

Reading comes first. You learn what the applicant says the invention is, which parts are already known in the description itself, and which wording in the claims is doing the real work. If a term is muddy, you look at how the application defines it. You do not swap in a private definition because it would make the file easier. The applicant is entitled to a review of the application they filed, not of the application you wish they had filed.

Searching is the hunt for earlier publications: patents, published applications, and other technical literature the tools can reach. You are looking for what a skilled person in that field could already have found, and you are writing down the trail well enough that a reviewer, or the applicant, can see why you landed where you landed. A search that cannot be explained is not a finished search. This account stops at that description. It does not coach examiners or applicants on maneuvers, and it does not lay out a method for winning a dispute.

The written action is the product. It tells the applicant what you found and what happens next in the Office's process. Sometimes the claims are allowed. Sometimes the action explains a problem the applicant may answer. An interview can follow, a scheduled conversation with the representative to clarify a point the papers are tangling. You prepare, you stick to the record, and you write a short interview summary so the file matches the conversation. The representative's strategy is their profession. Your profession is the review, the letter, and the next application in the stack.

Getting hired into the examining corps

The United States Patent and Trademark Office hires examiners through federal recruiting. A technical degree is the usual ticket, matched to the technology the Office needs that season. Engineers, chemists, biologists, and computer scientists all appear in different waves. Read the announcement for the discipline it actually wants. A strong resume in the wrong discipline will not be rescued by enthusiasm. Citizenship and the federal hiring rules apply. The announcement, not a blog post, is the list of requirements.

Expect a federal-style application that asks for specialized experience in plain, scoreable language. "I love innovation" does not answer a line about laboratory work, design work, or research. Name tools, name subject matter, name what you produced. If you have published or built something, say so without turning the application into a memoir. Interviews, when they happen, test whether you can explain a technical idea clearly and whether you can imagine saying no, in writing, when the papers do not support a yes. They are also checking whether you can accept review of your own work. Every new examiner is reviewed.

Training after hire is long and structured. The Office teaches the legal tests you will apply, the search tools, and the way an action should look. A primary examiner or a supervisor signs behind you until you earn more independence. Treat that period as the real school. The people who do well ask early, keep a personal list of recurring mistakes, and read the actions that were sent back. The people who struggle try to hide confusion until a production week makes it obvious. Asking is faster.

The announcement will also say whether the hire is tied to a headquarters building, a regional office, or a remote duty station under the rules then in force. Treat that detail as part of the offer. A grade you like and a living situation your household cannot sustain is an incomplete yes. Examiners who stay are often the ones who chose the duty station on purpose. Resentment shows up in the writing, and so does relief. The Office can teach the search tools and the shape of an action. It cannot teach you to want the week you already agreed to. Ask a recruiter what the current arrangement is, and ask a recent hire what the first year actually felt like, before you move.

A pace you can defend

The Office measures output. New examiners hear about that pace from supervisors, not from a rumor in a chat group. The healthy approach is steady work you can explain: searches that another examiner could follow, actions that match the papers, interviews that stay on the record. The unhealthy approach is speed that the file cannot support. A decision you cannot reconstruct a month later is a decision that will embarrass you when a reviewer, or the applicant, asks what you meant.

Time management is personal and it is learnable. Batch the reading. Protect a block for searching when you are alert. Write the action while the search is fresh. Leave room to reread your own letter before you send it, because a muddy paragraph creates a muddy reply and then a second round of work. Many examiners eventually work with a flexible schedule or from a remote duty station, under rules the Office sets and can change. Ask what the current rules are during hiring. Do not build a move around a rumor about telework.

The emotional piece is real. Applicants are frustrated. Some letters you receive will be sharp. Your reply stays professional. Use supervision when a case is getting personal or when you are unsure of a legal test. Examiners last when the work is a craft they can put down at the end of the day. They burn out when every rejection, and every allowance, feels like a verdict on their worth. The file is the file. You are the reviewer. Those are different facts.

Pay, told from the middle outward

The Bureau publishes Occupational Employment and Wage Statistics for May 2025 under Legal Support Workers, All Other, a wide group that reaches well past patent examining. Hold that breadth in mind, then start with the middle of the country rather than with a headline number. The national median is $72,110. Newcomers sit nearer the entry figure of $43,800. The climb from that entry figure to the national median is $28,310. A federal examiner should treat those two figures as a sketch of a broad legal-support labor market, then compare them with the federal grade the Office actually offered. The public series and a federal personnel action are not the same document.

A high end in one place, a median in another

North Carolina holds the high end of the published range, $185,100. That high end stands $112,990 above the national median. It differs from a state median, and it should be spoken as a high end. The highest median is the District of Columbia at $88,480, which is $16,370 above the national median. Same conversation, two statistics, two places.

The other medians fall away from the capital in a gentle line. New Jersey's median is $88,210. Washington's median is $85,630. New York's median is $76,520. Pennsylvania's median is $75,190. Iowa's median is the lowest in the set at $44,470, close to the national entry figure in size and still a different statistic. The gap from Iowa's median up to the District of Columbia's median is $44,010. None of these medians is the North Carolina high end. If you remember one caution, remember that a range-top in North Carolina and a midpoint in the capital answer different needs.

Grades, signatory authority, and a longer federal career

Inside the Office, progress is a matter of federal grades, quality review, and eventually signatory authority: the point at which you can sign more of your own actions. The titles vary by generation of the personnel system, so learn the current ladder from the Office rather than from a former examiner's memory. What stays constant is the evidence. Consistent quality, a pace you can sustain, and written work another person can follow are what move you. A single brilliant case does less than a year of clean files.

Later roles include primary examiner work, supervisory examiner work, and positions that train others or shape practice in a technology. Some people leave for law firms or for companies, using the reviewing years as a way of understanding how applications are actually read. That exit is common and it is a change of profession. Firm pay and examiner pay are negotiated in different worlds. If you leave, learn the new world's figures. Do not assume the North Carolina high end of $185,100, which is a top of a broad legal-support range, describes a law-firm partnership.

A federal career also includes the ordinary public-service pieces: leave, retirement rules, and a duty station. Ask about them in hiring with the same seriousness you ask about the technology you will examine. A grade that looks strong and a duty station your family cannot live with is an incomplete offer. So is a dream city attached to a grade that keeps you at the entry end of the national picture, near $43,800, long after your work has become independent.

Talking pay when the table is intentionally wide

Federal offers are grades and steps. Your leverage is which step your experience supports, and whether a later promotion path was described honestly. Use $72,110 as the national midpoint of the broad series, and use $43,800 as the entry marker. The $28,310 between them is a way to talk about moving from new reviewer to the middle of that wide market. It is not a number you can paste over a federal form. It is context when an offer feels stuck at the bottom after you already have years of technical work.

If you are comparing places, keep the words precise. The District of Columbia's median is $88,480. New Jersey's is $88,210. Washington's is $85,630. New York's is $76,520. Pennsylvania's is $75,190. Iowa's is $44,470. North Carolina's $185,100 is the high end of the published range, $112,990 above the national median, and it differs from the capital's median by kind, not only by size. The $16,370 between the national median and the District of Columbia median is the published step up to the highest median. The $44,010 between Iowa and the District of Columbia is the spread from the lowest median to the highest. Use the gap that matches the sentence you are actually saying.

Say once, if someone tries to treat the table as a patent-only price list, that the figures come from a broad legal-support group. Then return to your own record: the technology you examine, the quality reviews you have cleared, and the signatory responsibility you have earned. Those facts, plus the grade the Office can actually pay, are the meeting. The statistics keep the meeting honest. They do not replace the personnel rules.

The top of Patent Examiner pay — and how to get there with AI

$185,100what Patent Examiner pay reaches in North Carolina

Highest state-level top-of-range annual wage for Legal Support Workers, All Other, among states with at least 500 people in the job. U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025.

$43,800entry$72,110middle$185,100top end

A patent examiner rises through grade and signatory authority, and because the job can be done from almost anywhere, where you choose to live changes the number attached to the same grade.

Examining is a production job wearing a legal costume. You are given a docket, a biweekly expectation measured in counts, and a body of art to search, and the examiners who thrive are the ones who get fast at searching without getting sloppy at rejecting. The two things that actually change your grade are hitting production consistently and earning signatory authority, first partial and then full, so your actions no longer need another examiner's signature. Everything else is downstream of those. Because this workforce is largely remote, an examiner also has an unusual amount of control over the locality attached to their duty station, and that is a lever most people in federal service do not have.

Your playbook, by where you are now

Just startingGet the search right, then get quick

  1. Learn classification and search strategy deeply in your first year, because a bad search costs you twice, once now and once after final.
  2. Write rejections that map each claim element to a specific passage, so the response is an argument rather than a demand for clarification.
  3. Track your own counts weekly rather than discovering at the end of a quarter that you are behind.
  4. Ask your primary to review actions before they go out, and take the criticism as training rather than judgement.
  5. Learn the interview practice early; a well-run interview resolves cases faster than three rounds of paper.

What proves it: Consistent production with quality review findings you can count on one hand.

Realistic span: your first two years

A few years inEarn signatory authority

  1. Work deliberately toward partial and then full signatory authority, because that is the gate the grades are built around.
  2. Get genuinely fast at the routine cases so your time goes into the hard ones, which is where quality findings come from.
  3. Volunteer for the programmes that get you visibility, whether training new examiners, quality initiatives or pilot programmes.
  4. Learn your art area so well that you recognise the applicants and the families, since familiarity is what makes an experienced examiner fast.
  5. Think carefully about where you live, since a remote-capable federal job lets you weigh locality against cost of living directly.

What proves it: Full signatory authority and a stable production record above expectation.

Realistic span: years three through six

ExperiencedWiden beyond the docket

  1. Move toward supervisory, quality assurance or appeals-side roles, where the ladder continues past the examining grades.
  2. Train and mentor new examiners formally, because the agency promotes people who can produce other productive examiners.
  3. Consider the private sector deliberately, since substantial examining experience can qualify you to practise before the office without sitting the examination.
  4. Build expertise in the policy side, including examination guidance and how new legal decisions change practice in your art unit.
  5. Keep your own record of production, quality outcomes and details worked, since promotion packages are written from evidence.

What proves it: A supervisory or quality role, or a private-sector move made from a position of strength.

Realistic span: from year seven

The next 90 days

Spend the next ninety days rebuilding how you search rather than how fast you write. Take ten cases you have already disposed of and search them again from scratch, with a different strategy: different classification areas, different query structure, non-patent literature you skipped. See what you find that you missed. Then write down what your original search was systematically blind to. Nearly every patent examiner has one habitual blind spot, and it is the source of most of their after-final surprises and quality findings. Fixing it makes you faster in the way that counts, because the cases that destroy a production quarter are the ones where the good reference showed up late.

Wage figures: BLS OEWS, May 2025. The playbook is PayCrunch editorial guidance, not a guarantee of pay or placement.

Careers related to Patent Examiner

Similar pay, same field

Where this can lead

Every figure is the national median from the U.S. Bureau of Labor Statistics (OEWS) shown on that role’s own page.

Never used AI before? Start here (2 minutes).

Open Patent Public Search (PPUBS) and turn on its AI-assisted Similarity Search / 'More Like This Document' feature on your very next case. Run it in parallel with your own Boolean and CPC classification strategy — it surfaces semantically close prior art that a keyword string misses, and it works on the published corpus you are already allowed to use. Treat every hit as a lead you must pull and read, not a citation you trust on faith.

For learning the technology and the law (public information only), use Perplexity or ChatGPT to get a fast primer on an unfamiliar field, and NotebookLM loaded with the public MPEP to answer procedure questions with section citations. Keep every one of these tools on public patents and literature only — never the application in front of you.

The one rule, forever: Unpublished patent applications are confidential under 35 U.S.C. 122 — never paste claims, specification text, or any non-public application content into a consumer AI tool. Do your prior-art search and examination only in USPTO-approved systems; use public tools (Google Patents, Lens.org, ChatGPT) strictly on already-published patents and literature and on your own general paraphrases. AI search is a lead generator, never a substitute for the required search or your own patentability determination, and never cite a reference an AI surfaced without pulling and reading the actual document.
The plays — exact steps, exact prompts

Do these in order. Each one is copy-paste ready. You do not need to know anything about AI going in.

1
Run AI similarity search as a second search engine on every case
Why this pays: Your count system rewards balanced disposals at quality, and the fastest path to a solid rejection or a clean allowance is finding the best art fast. AI semantic search finds it in minutes, lifting disposals-per-biweek toward the numbers that earn performance awards and promotion to GS-13/14.
USPTO Patent Public Search (Similarity Search)Google PatentsIPRally
1
Run PPUBS Similarity Search / 'More Like This Document' on the independent claims of your case in parallel with your Boolean and CPC strategy. Let it rank semantically similar published art, then pull and read the top hits yourself.
2
Use Google Patents and IPRally semantic search to catch non-obvious combinations, and have ChatGPT expand your search vocabulary — using only your own paraphrase, never the applicant's confidential text.
Copy-paste this prompt
I'm searching prior art for a device that [plain-English paraphrase of the general concept, no application text]. List 10 alternative terminologies, synonyms, and adjacent technical phrasings that inventors and prior patents might use for each key feature, plus the most relevant CPC and IPC classification symbols to search. Output as a search-term matrix.
Only ever paste your own general paraphrase of the concept — never the applicant's claim language or specification, which is confidential. Use the output to build searches in USPTO systems.
3
Keep a personal log of which engine surfaced the reference you actually used. Over a quarter you learn exactly where each tool is strong for your art unit, and your search gets faster every case.
What you'll haveThe best prior art in hand faster on every case — the search efficiency that raises disposals at quality and drives production awards.
2
Draft airtight Office Actions faster with a reusable rationale library
Why this pays: Rework, reopened prosecution, and appeals reversals cost you counts and damage your quality metric. Tight, well-mapped rejections the first time protect both — the consistency that earns signatory authority, partial then full, and GS-14.
ClaudeNotebookLMClaimMaster
1
Build a personal library of KSR-compliant 103 rationales and 112 clarity templates. Use Claude to draft the general boilerplate language you then adapt per case inside USPTO systems.
Copy-paste this prompt
Draft a clear, legally sound template paragraph for a 35 U.S.C. 103 obviousness rejection using the KSR rationale of 'combining prior art elements according to known methods to yield predictable results.' Leave [bracketed slots] for the reference names, the specific elements, and the articulated motivation to combine. Keep it concise and examiner-neutral in tone.
This produces a reusable template only. Insert the actual references and claim mapping inside USPTO systems — never paste an unpublished application's claims into a consumer tool.
2
Before you map a dense public reference, have NotebookLM tear it down for you so your claim chart is accurate.
Copy-paste this prompt
Here is the text of published US Patent [number] (public). Summarize exactly what it teaches for each of these features: [feature A], [feature B], [feature C]. Quote the passage and the column/line or paragraph number that supports each. If it does not teach a feature, say so explicitly.
Only published patents and literature — all public. This speeds accurate charting; you still verify every citation against the original document.
3
Run a consistency and proofing pass with ClaimMaster or a fixed checklist to catch antecedent-basis, claim-numbering, and cross-reference errors before you mail — the small defects that trigger reopens.
What you'll haveCleaner Office Actions the first time — fewer reopens and reversals, a stronger quality score, and the record that earns signatory authority and GS-14 pay.
3
Ramp on any technology in a day so you can take the hard art units
Why this pays: The complex art units — AI/ML, semiconductors, biotech — carry higher grades and faster promotion velocity. If you can get credible on unfamiliar tech fast, you can transfer into or thrive in the work that pays more.
PerplexityNotebookLMChatGPT
1
When a case sits in an unfamiliar field, build a fast primer with Perplexity so you understand the technology before you construe the claims.
Copy-paste this prompt
Act as a senior engineer teaching a patent examiner. Explain the technology of [general field, e.g., solid-state battery electrolytes] in about 500 words: the core components, how they work together, the standard terms of art and their synonyms, the main competing approaches, and the 5 most-cited foundational patents or papers. Cite your sources.
Public technology education only. Use it to understand the field, then examine the actual case in USPTO systems.
2
Load key public review articles and seminal patents into NotebookLM and have it build you a glossary and concept map you reuse across every case in that art unit.
3
Keep a per-art-unit knowledge base so your second case in a field is twice as fast as your first.
What you'll haveCredible, fast expertise in high-value art units — the versatility that opens transfers to higher-graded work.
4
Break the foreign-language prior-art barrier
Why this pays: A killer non-English reference other examiners never find makes a rejection bulletproof and prevents an improvidently granted patent — the quality that protects your metrics and your reputation with the appeals board.
EspacenetDeepLGoogle Patents
1
For any concept with heavy foreign filing (electronics, autos, chemistry), search Espacenet and Google Patents across patent families and use built-in machine translation to scan Japanese, Chinese, Korean, and German art your peers skip.
2
When a foreign reference looks on-point, run the key passages through DeepL for a cleaner technical translation before you rely on it.
Copy-paste this prompt
Translate the following passage from [language] to English precisely, preserving technical terminology, then list the specific technical features it discloses as a bullet list, each tied to the sentence that supports it: [paste public patent passage].
Use only on published/public references. Verify the machine translation against the figures and claims before citing it in an Office Action.
What you'll havePrior art your peers miss — airtight rejections, fewer wrongly allowed patents, and a quality record that drives awards.
5
Master the MPEP and build toward signatory authority
Why this pays: Signatory authority, partial then full, and the GS-13 to GS-14/15 ladder are the pay mechanism, and both require demonstrated command of law and procedure at consistent quality. AI-drilled mastery is the fastest way to prove it.
NotebookLMAnkiChatGPT
1
Load the public MPEP into NotebookLM and query it like an oracle whenever a procedural question arises — it answers with citations to the exact section.
Copy-paste this prompt
Based on the MPEP sections provided, what are the requirements for a proper [restriction requirement / 101 eligibility rejection / 112(b) indefiniteness rejection], and what are the most common examiner errors that get reversed on appeal? Cite MPEP sections.
The MPEP is public. Use this for study; apply the rules to real cases only in USPTO systems.
2
Turn your weak spots into Anki flashcards — case law, statutory deadlines, rejection requirements — and review daily until the law is automatic.
3
Ask your SPE exactly what stands between you and the next signatory level, then use AI study to close precisely those gaps.
What you'll haveCommand of law and procedure that earns partial then full signatory authority — the direct route to GS-14/15 and the $185,100 top of the range.
Your 12-month sequence to the top of the range

How the plays above stack into a path from median pay toward the $185,100 tier.

Month 1
Add PPUBS Similarity Search to every case alongside your own search strategy; log which engine finds the reference you actually use.
Months 2-3
Build your reusable 103/112 rationale library and run a fixed proofing pass before every mailing to kill reopens.
Months 3-6
Use AI primers to take on harder cases and start systematic foreign-language searching in Espacenet and Google Patents.
Months 6-12
Drill the MPEP with NotebookLM and Anki, targeting the exact requirements between you and your next signatory level.
Year 2
Pursue partial then full signatory authority and a GS-14 case mix; become the art unit's go-to on AI-assisted search.
Gear for this job

As an Amazon Associate, PayCrunch earns from qualifying purchases. Links to books and tools are for the job on this page; we only recommend what we’d use in the work.

Patent Bar Exam Study Guide 2026 — Nash

Same live independent 2026 USPTO / patent-bar paperback already on patent-agent (ASIN B0H2YFRHL6, ISBN 979-8198619623). This leftover page sources USPTO — Patent Examiner careers and names the public MPEP plus signatory authority; play is Master the MPEP and build toward signatory authority. Study/reference for leftover USPTO examination / MPEP work — not official USPTO/MPEP materials and not a claim examiners sit the OED registration exam. Confirm B0H2YFRHL6. Live page HTTP 200, no PC_GEAR / amazon.com/dp / tag=paycrunch-20 at 2026-09-17 5:55 PM PT.

Next steps for a Patent Examiner

Some links below are affiliate or partner links. PayCrunch may earn a commission if you enroll or subscribe through them, at no extra cost to you. Wage figures on this page still come from the Bureau of Labor Statistics, not from these programs.

Patent Examiner work is specific enough that a stamped 'check out these courses' block would be noise. BLS files this work as Legal Support Workers, All Other (SOC 23-2099).

National median pay printed on this page is $72,110; the programs below are the usual levers people use to move off that middle.

Paralegal And Legal Studies programs on Coursera for Patent Examiner work

Coursera search for paralegal and legal studies — a professional certificate that lines up with legal, not a generic professional-development aisle.

Paralegal And Legal Studies courses on edX

edX search for paralegal and legal studies, aimed at legal (SOC 23-2099). Same field as the Coursera link, different university catalog.

Screened remote and flexible Patent Examiner listings on FlexJobs

FlexJobs screens remote, hybrid, freelance, and flexible listings so you are not wading through unverified ads. This is a job-board search for Patent Examiner work, not a claim that they list a counted SOC 23-2099 inventory.

Build a Patent Examiner resume on Resume Now

A a Patent Examiner resume you can submit beats a blank page. Resume Now is a resume builder — we are not claiming an occupation-specific template library for SOC 23-2099.

Build a Patent Examiner resume on Zety

A Patent Examiner resume that names the actual tasks on this page beats a blank template when you apply.

What Patent Examiners earn by state

These are the Bureau of Labor Statistics’ own figures for Legal Support Workers, All Other, state by state — not a cost-of-living adjustment applied to the national number. Only states employing at least 500 people in the occupation are shown, because a state median drawn from a handful of workers is noise rather than a signal.

District of Columbia
$88,480
highest of them · +23% vs the national median
Iowa
$44,470
lowest of the 17 states and D.C. that qualify · -38% vs the national median
The same job pays $44,010 more a year at the median in District of Columbia than in Iowa — 99% higher. That gap is what the Bureau measured, before any question of what it costs to live in either place. The top-of-range figure quoted at the head of this page, $185,100, is a different statistic in a different place: it is the 90th-percentile wage in North Carolina. The state that pays the typical worker most and the state where the best-paid go highest are not always the same one.
District of Columbia$88,480New Jersey$88,210Washington$85,630New York$76,520Pennsylvania$75,190Ohio$67,230Colorado$66,660Michigan$66,280

Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025, SOC 23-2099. 17 states and D.C. clear the 500-employee reporting floor for this occupation; those below it are left out rather than shown with a wide error band.

Free data. Use any of it.

PayCrunch publishes verified, BLS-sourced salary + AI-playbook data on 1,000+ professions — free, no signup.

Frequently asked
Will AI replace patent examiners?
No. AI can rank similar documents, but only a human examiner can construe the claims, weigh the Graham factors, apply the law to the facts, and take legal responsibility for a granted or rejected patent. AI is a search-and-drafting assistant. The examiners who use it dispose of more cases at higher quality; those who ignore it fall behind on production.
Is it safe to use ChatGPT or Google Patents on my cases?
Only on public information. Unpublished applications are confidential under 35 U.S.C. 122 — never paste claims or specification text into any consumer tool. Do examination in USPTO-approved systems, and use public tools only on already-published patents, literature, and your own general paraphrases of a concept.
How does AI actually raise an examiner's pay?
Production and quality drive performance awards, grade promotions (GS-12 to 13 to 14/15), and signatory authority. AI semantic search finds the best art faster and reusable templates cut rework, so you clear more balanced disposals at quality — the exact metrics behind every award and promotion.
Can I cite a reference the AI found?
Only after you pull and read the actual document. AI search is a lead generator; you must verify the reference exists, teaches what you think it teaches, and independently satisfies the required search. Never rely on an AI summary or a reference you have not read in the original.
Which tool should I learn first?
PPUBS Similarity Search — it lives inside your approved workflow, runs on the corpus you are allowed to use, and improves your search on literally every case. Add Google Patents or IPRally for public semantic search and NotebookLM on the MPEP for procedure.
Methodology & sources
  • Salary (median, 10th, top of the range) — U.S. Bureau of Labor Statistics, OEWS.
  • By state — the Bureau of Labor Statistics’ own state medians, limited to states employing at least 500 people in the occupation. No cost-of-living arithmetic is applied to a wage anywhere on this page.
  • The plays — PayCrunch's own step-by-step guidance using publicly available AI tools. Tool names/URLs are real and current as of August 2026; prompts written to work as-is. Verify any professional output before relying on it.

Sources