“Can they please stop? Please. It drains my life force every time I open one.” That is a lawyer on r/LawFirm in September 2026, and what drains the life force is not a court order. It is the lawyer’s own clients’ emails, which now arrive as AI-drafted replies “summarising everything I just did” when all he needs is “the yes or the no”.
AI client communication for lawyers has two sides. Drafting correspondence is the most common thing legal professionals do with generative AI, and the safest. But clients have the same tools and are using them on you: ten-page memos in reply to one-line questions, Copilot “second opinions” on advice you already gave, your privileged emails pasted into a consumer chatbot. Both need a workflow.
Correspondence is the number one AI use, and the easiest to do well
In the 8am 2026 Legal Industry Report, 58% of legal professionals who use generative AI draft correspondence with it, level with general research at the top of the list.
A client email needs no authority and is checked in the time it takes to read it. The only real risk is confidentiality, managed by keeping names, amounts and case numbers out of consumer tiers, or by using a tier that does not train on inputs: ChatGPT Business or Enterprise, Claude Team or Enterprise, or Microsoft Copilot with enterprise data protection.
AI client communication prompts: plain English, honest, under 200 words
Clio’s published example is nearly a complete prompt: “Draft a client-facing email explaining the discovery timeline for our employment discrimination case in plain English. Tone should be reassuring but honest about potential delays. Keep it under 200 words.” It lacks a structure and a fence around the facts.
Draft a client email explaining [the discovery timeline / the next hearing / why the other side's offer is low] in our [matter type] matter.
Plain English; no term a non-lawyer would not know; under 200 words; reassuring but honest about [potential delays / the risk].
Structure: what happened; what it means for you; what we are doing; what we need from you by [date]; when to expect the next update.
Use only the facts in <facts>...</facts>. Do not add facts, promise an outcome or characterise the other side.
Sign off as [name].Bad news needs a different shape: the fact in the first sentence, what it means in two, then options with the cost, timing and likelihood framing you supply, your recommendation, and what you need by when. No euphemisms, no promises, under 250 words. Check before sending that the model has not softened “denied” into “not yet granted”. They do.
Rewrite what you have said a million times and see what is missing
The most useful client-communication workflow in Clio’s 2025 Legal Trends Report came from an Indiana general-practice partner: “AI helps explain difficult legal concepts in ways that clients understand. I can ask it to rewrite something I’ve used a million times and see what’s missing for the client.”
Rewrite the following for a reader with no legal training, reading on a phone, at about age-16 reading level, without changing its legal effect:
<text>...</text>
Rules: short sentences; one idea per paragraph; define each technical term in brackets the first time; keep every obligation, deadline and exclusion.
List at the end any point you could not simplify without changing its meaning.
Then give me a two-column table: original sentence | rewritten sentence, so I can check nothing was lost.Tone, jargon and the AI-slop smell test
Clients can tell. One r/LawFirm poster described it from the receiving end: “when your one-word question comes back as a three-act play with ‘next steps for counsel’ at the bottom”. Do not send that back to them.
| Tell | Fix |
|---|---|
| Opens by restating the client’s question | Open with the answer |
| “I hope this email finds you well” | Delete; start with the fact |
| Three options where one is your recommendation | Recommend, then note the alternatives |
| Hedges on every sentence | Hedge once, where the uncertainty is |
The test is whether you would say it on the phone. If the email sounds like a memo, it is one, and the client did not ask for it. Another poster’s rule applies to your own drafting too: “I just assume anything I send to a client will be reviewed by AI.”
The other side: clients replying with AI-generated memos
The r/LawFirm thread quoted at the top is a catalogue. One poster received an AI “executive summary” from another firm “that argued directly against their client’s position, so clearly nobody there even read it”. Another got “8 page legal briefs citing 40 cases to explain that they want a consultation about an insurance company sending a confusing letter”.
A California transactional lawyer in Clio’s report describes the substance: “AIs are usually 80% right but always have errors. Drafting legal documents with general-purpose AI tools, it ends up being a word salad of well-written sentences that are not purposeful.” A UK private-practice lawyer told RollOnFriday in September 2026 that a client sent a Copilot answer to a question already answered: “We spent a few hours chasing copilot’s hallucination so that we could confirm that our original advice was correct.” A Hacker News commenter summed up the cost: a growing time sink for lawyers is explaining to clients that yes, I understand this is what Claude told you.
The reply that works is short, warm and specific, and first checks whether the chatbot has a point.
A client has sent me the following AI-generated analysis <client_ai_text>...</client_ai_text>, which conflicts with my advice <my_advice>...</my_advice> under [jurisdiction] law.
Draft a reply that: thanks them; identifies where the AI text goes wrong (wrong jurisdiction, outdated law, invented authority, missing fact), one sentence each; explains in plain terms why our advice stands; and warns, in one sentence and without lecturing, that pasting our communications into public AI tools can jeopardise confidentiality and privilege.
Warm, brief, no defensiveness. Under 200 words. If any point in the AI text is correct, tell me before drafting.Privilege risk when clients paste your advice into ChatGPT
This is the risk clients do not know they are running. In United States v. Heppner (S.D.N.Y., February 2026), Judge Rakoff held that a defendant’s exchanges with consumer Claude were protected by neither attorney-client privilege nor the work product doctrine: “Because Claude is not an attorney, that alone disposes of Heppner’s claim of privilege.” The court left open whether counsel-directed use “might arguably” be protected as a lawyer’s agent. A client freelancing with a chatbot is not that.
The UK Upper Tribunal reached the same place from the other direction: putting client letters into ChatGPT “is to place this information on the internet in the public domain, and thus to breach client confidentiality and waive legal privilege”. In California, Ridley Law’s warning to estate-planning clients rests on Evidence Code section 912: disclosing a privileged communication to a third party waives it, and a chatbot consulted for a “second opinion” on your lawyer’s advice is a third party. In a will contest, “They can read your own words, typed to a chatbot, laying out exactly what you were thinking and why.”
The privilege guide covers the case law. Clients need to be told, in the engagement letter and again the first time they send a chatbot’s opinion.
Engagement-letter language and the “no memo” tactic
ABA Formal Opinion 512 is blunt about the lazy version: “Merely adding general, boiler-plate provisions to engagement letters purporting to authorize the lawyer to use GAI is not sufficient.” A clause that works covers both directions.
- Which categories of tool you use (enterprise tools with contractual no-training terms; no consumer tools for client information) and what client information may be processed.
- The specific risks (error, confidentiality, retention, disclosure to providers) and your human-review commitment.
- The billing rule: actual time only, no charge for learning tools, matter-specific AI costs at cost with prior consent.
- The client’s right to instruct otherwise.
- A plain warning that feeding the firm’s communications into public AI tools “can destroy confidentiality or attorney-client privilege”, as the r/LawFirm poster’s own clause reads.
Whether you must disclose AI use varies: Pennsylvania leans towards transparency; New Jersey, Kentucky, Virginia, North Carolina and the German BRAK say there is no routine duty. The disclosure guide maps it.
Then the daily tactic, verbatim: “I have started answering those with one line: ‘Need a yes or no on X. No memo.’ Half of them still send the memo.” The companion habit: when a client is using AI, confirm instructions by phone and memorialise them by email, so the record holds what the client decided rather than what the chatbot drafted.
AI-generated client questions and extra-fee clauses
The clause that caused a stir on r/legaltech in September 2026 allowed a firm extra fees “if AI-generated questions create additional work”; the client who found it asked, “why single out AI?” One answer: “Bombarding your representation with war and peace novels of AI slop is not good practice. This fine is an attempt to stop that.”
On r/LawFirm the version already in use reads: “I added a clause that replying to unduly burdensome AI slop gets me on hourly full rate regardless of the agreed fee structure.” A senior partner in the thread saw it differently: “why is this a problem, you get to bill more time for reading and responding to their questions.” Both fit ABA 512, which permits billing the time actually spent and nothing more. A flat-fee client who sends ten-page memos is consuming hours the fee did not price; say so in the letter, then bill the hours. The billable-hour guide has the mechanics, and the family law guide the version where the memo is about the children.
When to pick up the phone
Three situations. Whenever a client’s AI text shows they do not understand it: the reply will be another memo, and the call takes five minutes. Bad news, where the email follows the call rather than replacing it. And anything you would not want formalised: the New York City Bar’s opinion on AI note-takers warns that transcripts can “formalize everything that was said, including informal legal advice” offered off the cuff, so if you record, say so first and keep the summary to decisions and dates. The note-taker ethics guide has the consent language.
Clients are ambivalent: in Clio’s 2025 consumer data, over a third would trust an AI-using lawyer less, and most want to know whether their lawyer uses it. Use the tools for structure and clarity, keep the judgement and the voice yours, and be able to say what you did if asked.
Prompts like these are what we run live in AI Lab for Lawyers: four two-hour sessions in browser tools, with your own anonymised material on screen, so the rewrite-and-diff habit is built before the next client email arrives. The full prompt set is in the prompt library.
Where to go next: the ChatGPT prompts guide for wider prompt patterns, the pillar on how lawyers use AI for where correspondence sits among the twelve workflows, and what lawyers really think about AI for the rest of the mood. Other task guides are in the use cases hub.
Frequently asked questions
Can I use ChatGPT to write client emails?
Yes, and it is the most common AI use among lawyers: 58% of AI-using legal professionals draft correspondence with it (8am 2026). Keep client identifiers out of consumer tiers, or use a no-training tier such as ChatGPT Business, Claude Team or Copilot with enterprise data protection. Give the model the facts, a structure and a word limit, read the result as the client would, and never let it add a fact or promise an outcome.
How do I explain legal advice in plain English with AI?
Paste your standard explanation and ask for a rewrite at a stated reading level without changing its legal effect, with every technical term defined in brackets on first use, and a two-column table of original and rewritten sentences so you can check nothing was lost. The table matters: models soften obligations into recommendations. One general-practice partner uses this to rewrite explanations he has given a million times and see what was missing for the client.
What should I do when clients send AI-generated memos?
Do not answer the memo; answer the question. Practitioners on r/LawFirm report replying with one line, 'Need a yes or no on X. No memo.', and confirming instructions by phone before memorialising them by email. Read the AI text for genuine points, since it is sometimes right, then explain in one sentence each where it goes wrong. An engagement-letter clause can put replies to burdensome AI material on the hourly rate.
Does a client pasting my advice into ChatGPT waive privilege?
It can. In United States v. Heppner (S.D.N.Y., February 2026) a defendant's exchanges with consumer Claude were held to be protected by neither attorney-client privilege nor work product: Claude is not an attorney. Under California Evidence Code section 912, disclosing a privileged communication to a third party waives it, and a chatbot for a second opinion is a third party. The UK Upper Tribunal has described putting client letters into ChatGPT as placing them in the public domain.
Should my engagement letter mention AI?
Yes, but not as boilerplate. ABA Formal Opinion 512 says merely adding general boiler-plate provisions purporting to authorise AI use is not sufficient. A useful clause names the categories of tool you use and their no-training terms, what client information may be processed, the human-review commitment, the billing rule (actual time only), the client's right to instruct otherwise, and a plain warning that pasting your communications into public AI tools can jeopardise confidentiality and privilege.