AI for your role

AI for In-House Counsels

Less time on first drafts and redlines, more time on the calls that matter.

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The shift

How AI is changing the In-House Counsel role

AI now handles the first pass on contract review, flagging missing clauses and off-market terms in seconds. It drafts NDAs, MSAs, and policy templates, summarizes long agreements and case law, and turns dense regulations into plain-language guidance for business teams. The result is faster turnaround on routine matters so you can focus on negotiation strategy and risk calls.

What AI can take off your plate

  • First-pass contract review and clause flagging against your standard playbook
  • Drafting routine NDAs, engagement letters, and policy templates
  • Summarizing long agreements, deposition transcripts, and regulatory text
  • Extracting key dates, obligations, and renewal terms from the contract repository
  • Triaging and routing intake requests from business teams

What stays distinctly human

  • Final risk calls and deciding which terms are deal-breakers
  • Negotiation strategy and reading the room with counterparties
  • Advising executives on business judgment and reputational tradeoffs
  • Privileged and sensitive matters requiring confidentiality and ethics
  • Interpreting ambiguous law where no clear precedent exists
Tools

Five AI tools for In-House Counsels

Harvey
In-house counsel use it to review contracts, run legal research across jurisdictions, and draft memos grounded in their own document sets.
Try it →
Spellbook
It works inside Microsoft Word to suggest redlines, flag missing or risky clauses, and benchmark terms against market standards during contract review.
Try it →
ChatGPT
Counsel use it to summarize agreements, draft policy first drafts, and translate legal questions into plain-language explanations for business stakeholders.
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Ironclad
Its AI features auto-extract key terms, route contracts for approval, and surface obligations and renewal dates across the contract repository.
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CoCounsel
In-house teams use it to review document sets, prepare deposition or hearing prep summaries, and verify research against primary sources.
Prompts

Five prompts to try today

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

1. Contract risk review
Review the attached [contract type] from the perspective of [our company] as the [buyer/seller/licensee]. List the five highest-risk clauses, explain why each is a problem in plain language, and suggest specific redline language for each. Flag any missing clauses we would normally expect.
2. NDA first draft
Draft a mutual NDA between [our company] and [counterparty] for the purpose of [deal/discussion]. Use a [term length] confidentiality period, governing law of [state], and include carve-outs for independently developed information. Keep it under two pages.
3. Plain-language explainer
Explain the key obligations and risks in the attached [agreement] to a non-lawyer in [department]. Use short bullet points, avoid legal jargon, and end with the three things they must remember to comply with.
4. Regulation summary
Summarize the main compliance requirements of [regulation/law] as they apply to a company that does [business activity]. List required actions, deadlines, and penalties for non-compliance. Note any areas where I should consult outside counsel.
5. Negotiation prep
We are negotiating a [contract type] with [counterparty]. Based on the attached draft, identify the three terms most likely to be contested, our fallback positions for each, and the arguments the other side will likely make. Suggest a priority order for concessions.
The playbook

Every AI play for In-House Counsels

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

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A day in your inbox

This is the kind of brief a In-House Counsel gets, every weekday morning.
Monday morning
✦ Personalized for: In-House 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.
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Your playbook
Every entry, building each week.
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How AI is changing your role
Where your work is heading.
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