AI Tools for HR That Work Right in Your Browser

What AI tools do HR teams actually use in the browser?

Mostly general-purpose ones. The AI that saves HR the most time is a chat assistant used for drafting, plus a meeting note taker for interviews; dedicated 'AI recruiting' extensions are rarer and often ask for broad access to LinkedIn and your inbox.

This guide pairs the AI assistants HR teams already use with the verified AI extensions in our directory: ChatGPT, Sider and Monica for drafting, Fathom and Laxis for interview notes, and Grammarly for editing. You will find more general picks in our productivity extensions category.

How do you write a job description with AI?

Feed the assistant real facts from the hiring manager, then ask it to structure and tighten them. Asking for 'a job description for a senior accountant' from the title alone produces the generic, inflated postings candidates skim past.

1. Run a 15-minute intake with the hiring manager and write down the five things this person will actually do in their first six months.
2. Open your assistant, for example ChatGPT, in a work account and paste the prompt below with your intake notes.
3. Ask a follow-up: List any requirements in this draft that are not in my notes. Delete whatever it invented.
4. Ask: Flag gender-coded words, jargon and requirements that could exclude qualified candidates. Review each flag yourself.
5. Add the pay range and benefits by hand. A growing number of US states and cities require ranges in postings, and AI will not know your approved band.
6. Send the final draft to the hiring manager for sign-off before it goes into your applicant tracking system.

You are helping an HR team write a job posting.
Role: [title], [team], [location / remote policy]
What this person will do (from the hiring manager):
1. ...
2. ...
Must-have skills: ...
Nice-to-have skills: ...
Write a posting under 500 words with: a two-sentence summary,
'What you'll do', 'What you'll bring', and 'How we work'.
Do not add requirements that are not listed above.
Use plain language and avoid years-of-experience minimums.

Can AI screen resumes fairly and legally?

Not on its own, and in some places not without formal safeguards. Language models can absorb bias from their training data and your past hiring, and regulators increasingly treat AI that ranks or filters candidates as high-stakes.

Two rules HR teams most often run into: New York City requires a bias audit and candidate notice before employers use an automated employment decision tool on candidates for NYC jobs, and the EU's AI Act classes AI used in recruitment and worker management, such as CV-sorting software, as high-risk, with obligations for those systems applying from 2 December 2027. Other jurisdictions are drafting similar rules, so check with counsel before automating any screening step. This guide is not legal advice.

• Reasonable: asking AI to summarise a resume you have already decided to read in full, or to suggest interview questions from it.
• Reasonable: comparing a resume against the must-have list you wrote, with a person making the call.
• Risky: letting AI rank a whole applicant pool and only reading the top results.
• Avoid: auto-rejecting anyone based on an AI score, or asking AI to infer personality, culture fit or age.

How can AI help recruiters with candidate sourcing?

Use it to build better search strings and first drafts of outreach, not to scrape profiles. A chat assistant is good at turning a vague brief into a Boolean search you can paste into LinkedIn, a job board or Google.

("payroll specialist" OR "payroll administrator" OR "payroll analyst")
AND (ADP OR Workday OR Paylocity)
AND ("multi-state" OR "multistate")
NOT (intern OR student)

Ask the assistant for synonyms of the job title, the tools people in the role list on profiles, and exclusions that remove noise. Then run the string, check the first 20 results, and refine by hand. AI regularly suggests job titles that sound plausible but that almost nobody uses.

For outreach, give the assistant one specific detail from the person's public profile and ask for three short openers. Pick one and rewrite it in your own voice; candidates spot identical AI messages quickly, especially from recruiters who contact them often.

What is the best AI note taker for HR interviews?

For interviews, Fathom records and transcribes meetings into shareable notes, and Laxis transcribes and summarises Zoom meetings live. Either frees the interviewer to listen and ask follow-ups instead of typing.

Three rules make note takers safe in hiring. First, tell candidates at the start that the call is transcribed, and offer to switch it off; several US states require every party's consent to record. Second, score the candidate against your rubric before you read the AI summary, so its framing does not anchor your judgement. Third, store transcripts where your retention policy says candidate data lives, not in a personal account.

• Paste the summary into your scorecard's evidence field, then edit it; summaries can drop hesitations, caveats and tone.
• Do not use transcripts to judge accent, speech patterns or fluency unless the role genuinely requires it and your rubric says so.
• For panel interviews, let one person run the note taker so candidates are not recorded several times.
• Delete transcripts of unsuccessful candidates on the schedule your privacy notice promises.

Which AI Chrome extensions belong in an HR workflow?

The AI does the drafting and note taking; each extension below is a verified listing with an editorial profile, and each has a trade-off worth knowing.

If your HR team is distributed, the remote work extension collection covers video, focus and async tools that pair with this set.

Where should HR not rely on AI?

Anywhere a decision changes someone's job, pay or legal position. AI drafts are fine as a starting point; the judgement and the accountability must sit with a named person.

• Terminations and performance plans. Drafting a script is fine; deciding who is let go is not a task to delegate.
• Workplace investigations. Complaint details are highly sensitive and summaries can distort who said what.
• Medical, disability and accommodation requests. This data often has stricter legal protection than general employee records.
• Compensation decisions. AI can format a pay band table; it cannot know your internal equity data unless you expose it, which you usually should not.
• Reference checks. Summarising a referee's words invites paraphrase errors that can cost a candidate an offer.

A useful test: if the output would need to be defended to an employment tribunal, an auditor or the employee themselves, a person should write or fully rewrite it.

How do you roll out AI tools in an HR team without data leaks?

Start with an approved list and a one-page policy, then add tools deliberately. Most HR data leaks through convenience: a personal chatbot login or an extension nobody reviewed.

1. List every AI tool and extension the team already uses; ask people directly, because many are installed without IT knowing.
2. Move AI chat to a business plan with data-training controls, and ban personal accounts for candidate or employee data.
3. Ask IT to allowlist approved extensions through Chrome's enterprise policies, so new installs need review.
4. Check each extension's permissions before approval; our guide to Chrome extension permissions explains what each warning means.
5. Update your candidate privacy notice to mention AI transcription or drafting where you use it.
6. Train recruiters on the do and don't list from this guide, and revisit it whenever a new regulation lands.

Our editorial methodology explains how we judge an extension's permissions and developer health, which is a useful checklist for your own reviews.

Which AI tools suit each HR role?

The mix shifts with the job. Recruiters get the most from drafting and note taking; HR generalists benefit more from document and policy help.

Recruiter or talent sourcer

AI assistant (ChatGPT, Sider) for Boolean strings and outreach drafts, Fathom or Laxis for interviews, Grammarly for polishing messages.

HR generalist

AI assistant for policy drafts and FAQs, Monica for translating notices for multilingual staff, Grammarly for tone and clarity.

HR business partner

AI assistant to structure workshop notes and manager briefings; keep performance and pay decisions entirely human.

Founder or office manager handling HR

Keep it light: one assistant and a note taker if you run interviews. Our AI tools for small business guide covers the wider stack.

Hiring managers

Structured-interview note takers such as Fathom; people who also run delivery work will find more in the AI tools for project managers guide.

Whatever your role, measure AI by hours saved on drafting, not by how much of the hiring process it touches. The best HR teams use it heavily for words and sparingly for decisions.