AI for your role

AI for Employment Counsels

Spend less time drafting and reviewing, more time on judgment calls.

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The shift

How AI is changing the Employment Counsel role

AI now drafts first versions of employee handbooks, offer letters, and separation agreements in minutes instead of hours. It speeds up review of discrimination and wage-hour complaints, summarizes investigation interviews, and tracks multistate leave and pay laws. The work shifts from producing documents to checking them and advising on risk.

What AI can take off your plate

  • First drafts of handbooks, offer letters, and separation agreements
  • Summarizing long investigation interviews and email threads into timelines
  • Initial review and redlines of routine employment and vendor contracts
  • Tracking and summarizing new wage-hour, leave, and discrimination laws across states
  • Drafting training materials and plain-language explanations of policies

What stays distinctly human

  • Deciding how much legal risk the company should accept on a close call
  • Conducting witness interviews and judging credibility
  • Advising executives on layoffs, terminations, and sensitive disputes
  • Final sign-off on any agreement, position statement, or filing
  • Maintaining attorney-client privilege and deciding what stays confidential
Tools

Five AI tools for Employment Counsels

Harvey
Employment Counsel use it to draft and compare separation agreements, restrictive covenants, and policies against jurisdiction-specific requirements.
Try it →
Microsoft Copilot
It drafts policy memos, summarizes long investigation notes in Word, and turns email threads into a clean factual timeline.
Try it →
Spellbook
It reviews and redlines employment contracts and vendor agreements directly inside Word, flagging missing or one-sided clauses.
Try it →
ChatGPT (Enterprise)
Counsel use it to draft training content, plain-language explanations of new laws, and first-draft responses to employee complaints.
Try it →
Westlaw Precision with CoCounsel
It researches state wage-hour, leave, and discrimination law and pulls relevant case citations for memos and position statements.
Prompts

Five prompts to try today

Paste these into Claude or ChatGPT and replace the bracketed parts with your own details.

1. Multistate policy check
I am reviewing our [policy name, e.g. paid sick leave policy]. Here is the current text: [paste policy]. List where it likely does not meet legal requirements in [list states]. Note the specific requirement and flag anything that needs a lawyer to confirm.
2. Separation agreement draft
Draft a separation agreement for an employee in [state]. Facts: [age, tenure, role, severance amount, reason]. Include a release of claims, ADEA/OWBPA considerations if over 40, and standard clauses. Mark every spot where I need to insert or verify a detail.
3. Complaint triage
Here is an employee complaint: [paste complaint]. Summarize the alleged conduct, identify the legal theories it could raise (e.g. harassment, retaliation, wage claim), list who should be interviewed, and note immediate steps to preserve evidence.
4. Investigation timeline
From these interview notes and emails [paste], build a chronological timeline with dates, people, and what each says happened. Flag direct contradictions between witnesses and gaps where information is missing.
5. Plain-language law update
Explain the key changes in [new law or regulation] for a non-lawyer HR audience. Cover what changed, the effective date, who it applies to, and three things we should do to comply. Keep it under 400 words.
The playbook

Every AI play for Employment Counsels

Your full AI playbook for your role — updated every week. Tap any card for a step-by-step walkthrough and examples.

✦  New AI plays are added every week — and go straight to subscribers in their morning brief. Skip the scrolling and get yours delivered free. Get my free brief →
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A day in your inbox

This is the kind of brief a Employment Counsel gets, every weekday morning.
Monday morning
✦ Personalized for: Employment Counsel
Legal PlaybookFirst-pass NDA review
Screen an NDA in five minutes

Most inbound NDAs are routine. A few hide bad terms. You still read all of them line by line. Let the model do the first pass so you only spend real time on the ones that need it.

Claude  FREE  reads long documents and flags risk against your standard positions

The old way
You open the PDF, read all eight pages, and mark up clauses from memory. Twenty minutes per NDA, and the tenth one gets less attention than the first.
The AI way
You get a one-page flag sheet: term length, mutual vs one-way, governing law, carve-outs, and anything off-market. You read the flags, then read only the clauses that need a human.
You are reviewing a mutual NDA on behalf of [YOUR COMPANY], the receiving party. Here is our standard position: term of 3 years, mutual obligations, [YOUR STATE] governing law, standard confidentiality carve-outs (public information, independently developed, already known). Review the NDA below. List every clause that deviates from our standard position. For each, quote the language, say why it matters, and suggest redline wording. Flag anything unusual or one-sided. Do not summarize the whole document. NDA text: [PASTE NDA]

Why it works: Do not paste an NDA that is itself marked highly confidential into a free consumer tool, and confirm your firm's policy on document tools first. Every flag is a starting point, not a decision. A lawyer signs off before you send redlines back.

Your role, all in one place
  
Tools, prompts & tricks
Your full library, one tap away.
  
Your playbook
Every entry, building each week.
  
How AI is changing your role
Where your work is heading.

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