For law firms · Resource
The engagement-letter language and the bill that survive an Opinion 512 audit.
Five-clause language pack, a fee-treatment decision matrix, an OCG-response template, the pre-bill documentation pack, and a 13-state overlay. On this page, in editable form. No form.
Why this page exists
A managing partner forwarded the OCG to her ethics partner on Tuesday. Friday's bill went out without a Rule 1.5 review.
The Rule 1.5 question is the one that lands hardest on midsize firms in 2026. ABA Formal Opinion 512 (July 29, 2024) [S01] held that lawyers may not bill clients for hours not actually expended when AI saves time. Texas State Bar Opinion 705 (February 2025) [S04] reinforced the rule and addressed AI subscription pass-through. The California Practical Guidance, DC Bar Opinion 388, Florida Opinion 24-1, the NYSBA Task Force Report, and the Pennsylvania-Philadelphia Joint Formal Opinion 2024-200 all reach the same conclusion on the underlying rule. [S07] [S08] [S05] [S09] [S11] What changes by jurisdiction is the engagement-letter language, the disclosure default, and the pre-bill documentation the regulator expects to see.
Meanwhile, corporate clients in financial services, health care, and government are inserting AI provisions directly into outside counsel guidelines. The Texas Attorney General's Outside Counsel Acceptable AI Use Policy was last revised on July 31, 2025. The Association of Corporate Counsel published its Sample AI Guidelines for Outside Counsel in June 2025. Bayer publishes its billing guidelines in full. The cumulative effect is that every billable matter ending in 2026 will need a fee-defense answer to "did AI save you time, and if so, why does the bill not reflect that?"
The first artifact below is the five-clause engagement-letter language pack. Copy it, change the bracketed values, walk it to your ethics partner. The fee-treatment decision matrix, the OCG-response template, the pre-bill documentation pack, and the 13-state overlay are on this page in the same form. The 8-question diagnostic at the bottom of the page returns a numeric score and a tier-based next step. This is Tier-2 in the firm's catalog of expand engagements (entries law/14 — Engagement Letter Drafting and Conflict-Check Integration, and law/9 — AFA Design and Pricing Calibration).
Artifact 01 — Engagement-letter clause library
Five clauses. Specific consent, not boilerplate.
ABA Opinion 512 explicitly holds that "boilerplate consent included in engagement letters will not be adequate." [S01] The clauses below are tool-specific, matter-type-specific, and written to the highest current state-bar standard so a single set covers a multi-state footprint. Copy from here. Bracketed values are highlighted for replacement. Your ethics partner reviews and approves before deployment.
Clause 01 — AI-use disclosure (multi-state default)
In connection with the Matter, we may use the following generative AI tools to assist with our representation: [AUTHORIZED TOOLS — e.g. Harvey, Spellbook, Casetext CoCounsel, Lexis+ AI, ChatGPT Enterprise]. These tools may be used for [CATEGORIES OF WORK — e.g. legal research synthesis, first-draft preparation of motions and briefs, deposition-preparation summaries, contract clause comparison]. Each authorized tool operates in a tenant-isolated environment configured so that inputs are not used to train the underlying model and are not accessible to other tenants of the vendor. The firm will obtain separate written consent before using any generative AI tool not listed above on your matter.
Maps to ABA Op. 512's specific-consent standard [S01], the California Practical Guidance no-training-on-confidential-input rule [S08], and the NYSBA Task Force communication recommendation [S09].
Clause 02 — Rule 1.6 informed consent (matters with confidential information)
Where the use of an authorized generative AI tool would involve the disclosure of any of your confidential information to the tool's underlying model, we will obtain your informed consent in writing before that disclosure occurs. The information we will provide to you in seeking that consent will include the specific tool, the kinds of information that will be disclosed to the tool, the vendor's tenant-isolation and data-handling posture, the alternatives we considered, and the benefits and risks of the proposed use to your representation. Boilerplate consent will not satisfy this clause.
Mirrors ABA Op. 512's informed-consent standard for self-learning tools [S03], Florida Op. 24-1's third-party AI disclosure rule [S05], and the California Practical Guidance prohibition on inputting confidential information without provider conditions [S08].
Clause 03 — Rule 1.5 fee treatment
Where this Matter is billed on an hourly basis, we will bill only for time actually expended on your representation. Where generative AI is used and reduces the time required to perform a task, that time saving will be reflected in the invoice; we will not bill for time the lawyer did not spend. We may bill for time spent reviewing, refining, or verifying generative AI output where that work is performed by the responsible attorney. Where this Matter is handled on a flat fee, contingent fee, or other alternative fee arrangement, the fee set forth in the engagement letter reflects the value of the work product to be delivered; we will preserve internal records of AI-assisted activity sufficient to demonstrate that the agreed fee remains reasonable under the factors in Rule 1.5(a).
Maps to ABA Op. 512's Rule 1.5 fee analysis [S01] [S02], Texas Op. 705's hourly-billing limit [S04], DC Op. 388's hourly-efficiency rule [S07], the California Practical Guidance billing posture [S08], and Florida Op. 24-1's actual-cost transparency requirement [S06].
Clause 04 — AI subscription cost pass-through posture
The firm treats the cost of authorized generative AI tools as part of office overhead by default. Where, on a particular Matter, the firm seeks to charge you for a portion of an AI tool's cost or on a per-use basis — whether because the tool is expensive and proprietary, or because the matter requires use beyond ordinary practice — we will explain the proposed charge in writing and obtain your written consent before incurring it. Any AI cost charged to you will be itemized on the invoice.
Maps to ABA Op. 512's overhead-or-charge framework [S01], Texas Op. 705's per-use pass-through with consent [S04], and Florida Op. 24-1's preferred-in-writing disclosure standard [S06].
Clause 05 — Matter-team-staffing disclosure
Generative AI tools are treated as nonlawyer assistance under Rule 5.3 of the applicable Rules of Professional Conduct. Where AI is used on a Matter, the responsible attorney supervises the AI as the firm supervises any nonlawyer assistant, including verifying factual and citation accuracy of AI work product before any use, filing, or transmission. Where this Matter would otherwise have been staffed by a paralegal or junior associate and is instead staffed by a partner or senior associate plus AI, we will inform you of that staffing decision; the result will not increase the fee charged.
Aligns with ABA Op. 512's supervision standard [S03], the Pennsylvania-Philadelphia Joint Formal Op. 2024-200 [S11], and the NYSBA Task Force's paralegal-supervision recommendation [S09].
A starting-point sample. Not legal advice. Your ethics partner reviews and approves before deployment. The five clauses are written to the highest current state-bar standard (Florida 24-1 informed-consent, ABA 512 Rule 1.5, NYSBA disclosure default) so a single clause set covers a multi-state footprint.
Artifact 02 — Fee-treatment decision matrix
Five fee structures. The bill the firm sends and the matter file the carrier audits.
The artifact the CFO and the ethics partner read together. Each row maps a fee structure to the AI-saved-time outcome, the engagement-letter language required, and the pre-bill documentation the matter file must contain. The named exceptions (matter-acceleration value to client, novel-issue research, supervised verification time properly billable) are at the bottom.
| Fee structure | AI-saved-time outcome | Engagement-letter language required | Pre-bill documentation |
|---|---|---|---|
| Hourly | Bill only for actual hours expended; do not bill saved time. Bill review/refinement of AI output as ordinary attorney time. | Clauses 01, 03 above. | Time-entry narrative distinguishing AI-output review from drafting; supervisor-review record; AI-tool-usage log. |
| Discounted hourly | Discount applied at the rate level, not via fictional hours. Bill only actual hours at the discounted rate. | Clauses 01, 03; rate stated in engagement letter. | Same as hourly, plus rate-discount documentation in matter file. |
| Fixed (flat) fee | Fee remains payable at the agreed amount if it remains reasonable under Rule 1.5(a) factors at time of charging. | Clauses 01, 03; flat-fee scope language; reasonableness-rationale memo. | Reasonableness memo at engagement open and at close; matter-file note recording AI use and value delivered. |
| Contingent | Fee remains payable per the contingency formula; AI does not change the formula. The Rule 1.5(a) reasonableness factors apply at the time of charging. | Clauses 01, 03; Rule 1.5(c) writing requirement satisfied. | Result-and-recovery documentation; AI-use note in matter file. |
| Blended AFA (capped fee, success fee, monthly subscription) | Cap and success fee remain payable per the AFA terms; monthly subscription continues per the AFA. | Clauses 01, 03; AFA-specific scope and trigger language. | Monthly matter-status memo; cap-tracking ledger; AI-material-matter flag in time entries. |
| Named exception — matter acceleration | Where AI accelerates a result that has independent value to the client (closing a deal in a window that would otherwise have closed), an AFA reflecting that value is permissible. | Clauses 01, 03; explicit value-to-client recital in the engagement letter. | Closing-window memo; client-acknowledged value note. |
| Named exception — novel-issue research time | Tool-specific learning time directed by the client for a particular AI tool is billable; general AI-tool training is not. | Clauses 01, 03; written client request for the specific tool. | Client-request communication retained; learning-time entries flagged. |
| Named exception — supervised verification time | Time spent by the responsible attorney verifying AI output (cite-check, fact-check, source-pull) is ordinary attorney time and billable on hourly. | Clauses 03, 05; supervision protocol referenced. | Cite-check log per filing; supervisor sign-off timestamp. |
Artifact 03 — OCG-clause response template
Thirty corporate-client AI clauses. Accept, negotiate, reject — with the rationale partners can defend.
Corporate clients in financial services, health care, government, tech, and pharma are inserting AI provisions into outside counsel guidelines. The Texas Attorney General's Outside Counsel Acceptable AI Use Policy was last revised July 31, 2025; the Association of Corporate Counsel published its Sample AI Guidelines for Outside Counsel in June 2025. The dataset that feeds this section ranks 30 distinct clause categories observed in publicly available material. Three categories of response are illustrated below; the full 30-clause crosswalk is in the dataset linked at the bottom of the page.
Response — Accept (default firm posture)
Clauses the firm should accept without negotiation: AI-use disclosure to the client, public-LLM prohibition on confidential or restricted information, tenant-isolation requirement on enterprise tools, no-training carve-out in the vendor contract, output validation and senior-attorney sign-off, vendor security attestation right (SOC 2 Type II / ISO 27001), AI saved-time discount on hourly bills, anonymization of confidential inputs, vendor-exit data-deletion confirmation, breach-notification SLA, AI-disclosure in court filings where the standing order requires it, privilege-preservation requirement, and the no-AI-on-privileged-communications rule.
Each of these clauses is already firm-policy-default for any midsize firm with regulated clients. The firm's AI policy and authorized-tools register satisfy the underlying requirement.
Response — Negotiate (operational refinement)
Clauses worth negotiating before signing: outright AI bans (negotiate to permit enterprise-isolated tools and the firm's spell-check / document-compare utilities); per-time-entry AI disclosure on bills (negotiate to matter-level rollup where time entries already capture review work); data-residency restrictions (negotiate vendor-published data-residency posture vs. blanket US-only); tool inventory reporting (negotiate quarterly cadence over per-matter); sub-processor disclosure (negotiate vendor-published sub-processor page as the reference, with 30-day prior notice for material changes); audit-log retention (negotiate hash-based or summary-level log retention where full prompt-and-output retention is itself a confidentiality risk); right-to-terminate-for-AI-misuse (carve out non-refundable matter costs).
The negotiation memo lives in the matter file. The same memo is the carrier-renewal exhibit at policy renewal.
Response — Reject (replace with firm's standard posture)
Clauses the firm should reject and replace: AI-output indemnity provisions broader than the firm's standard malpractice carrier coverage. Such indemnities convert a malpractice question into an uninsured contractual liability; the firm's standard malpractice posture and Rule 5.3 supervision attestation cover the operational risk and align with insurance reality. The replacement language references the firm's AI policy, the supervision protocol, the vendor data-handling attestations, and the firm's professional liability coverage. The carve-out for fraudulent or willfully reckless AI use is preserved.
Coordinate the rejection with the firm's malpractice broker; some carriers will permit a narrow AI-output indemnity if the firm's underlying policy has affirmative AI coverage. Most do not.
The full 30-row OCG crosswalk — clause category, observed-in industries, sample composite language, recommended response, response rationale, and the operative ethical rule — is the dataset on this page. CSV and JSON downloads at the bottom.
Self-scoring diagnostic
Where would your last 10 invoices land?
Eight questions. Four minutes. The score returns the firm's exposure tier and a tier-specific next step. Email yourself the personalized 1-page report when the score appears.
Self-scoring diagnostic
Fee-and-engagement-letter AI exposure score
An 8-question diagnostic. Where would your firm's last 10 invoices land if a corporate client's audit committee asked how AI was used and how it was billed?
Read all questions at once (for printing or offline review)
Does your standard engagement letter contain language specifically describing the firm's use of generative AI on the matter (rather than general boilerplate)?
- yes specific (14 pts) — Specific-consent language is the post-Opinion 512 standard. Confirm it lists tools, categories of work, and obtains consent for that scope only.
- boilerplate only (4 pts) — ABA Opinion 512 explicitly rejects boilerplate engagement-letter consent for AI use on confidences. Replace with specific clauses.
- no ai language (0 pts) — Add AI-specific clauses. Florida 24-1, NYSBA, and ABA 512 each require client-facing language; the absence is the highest-exposure posture.
Why this matters:ABA Formal Op. 512 holds that 'boilerplate consent included in engagement letters will not be adequate.' [S01] The corollary state-bar opinions (Florida 24-1, NYSBA Task Force) reach the same conclusion.
When generative AI saves time on an hourly matter, what does the bill reflect?
- actual only (14 pts) — Correct. Hourly billing is for actual time only. Document the AI-assisted work narrative in the bill so the analysis is defensible if the client audits.
- ai review billed (10 pts) — Correct as far as it goes — review and refinement time is billable per California Practical Guidance, but confirm the bill does not also include the AI-saved time.
- original estimate (0 pts) — Billing the pre-AI estimated hours when actual hours were lower violates Rule 1.5 in every state-bar opinion to date (ABA 512, TX 705, DC 388, CA Practical Guidance, FL 24-1).
Why this matters:ABA Op. 512 [S01], Texas Op. 705 [S04], DC Op. 388 [S07], and the California Practical Guidance [S08] are unanimous: hourly billing requires actual hours.
How does your firm treat the cost of its enterprise AI tool subscriptions (Harvey, CoCounsel, Spellbook, etc.)?
- overhead default (12 pts) — Correct. ABA Op. 512 treats AI tool costs as firm overhead by default.
- passthrough with consent (10 pts) — Permissible if disclosed and itemized; confirm written consent at engagement open.
- passthrough no consent (0 pts) — Pass-through without disclosure violates ABA 512 and Florida 24-1's writing-preferred disclosure standard.
Why this matters:ABA Op. 512 [S01] permits per-use or proportional charges for AI tools only with advance explanation and informed consent; otherwise the cost is overhead.
Has any of your firm's corporate clients sent updated outside-counsel guidelines (OCGs) containing AI provisions in the last 12 months?
- yes responded (12 pts) — Confirm the response is documented at the matter level and that the firm's authorized-tools list aligns with the client's approved list.
- yes no response (4 pts) — Unanswered OCG provisions are the most common breach surface. Stand up an OCG-response template and respond clause-by-clause.
- no recent (8 pts) — Net-neutral; corporate clients are increasingly inserting AI provisions, so update will land in the next renewal cycle.
Why this matters:Corporate clients in financial services, health care, and government routinely require pre-approval of AI tools and tenant isolation. [Dataset rows 02, 09]
Does the firm document, at the matter level, whether AI was used and what disclosure to the client was considered?
- yes per matter (12 pts) — Strong. Map to Rule 1.4 communication and ABA Op. 512's communication duty.
- informal only (6 pts) — Informal documentation does not survive an audit. Use a standard matter-file note for AI-material matters.
- no (0 pts) — Without documentation, the firm cannot show that AI use was considered for client disclosure (Rule 1.4) — the carrier renewal questionnaire treats this as a flag.
Why this matters:ABA Op. 512 [S01] and the NYSBA Task Force [S09] require communication consideration for AI-material matters.
If your firm uses a flat fee or AFA on a matter where AI materially reduces work time, how is the fee analyzed for reasonableness?
- rule15 factors documented (12 pts) — Correct. Rule 1.5(a) factors apply to flat and contingent fees per ABA Op. 512.
- originally priced no recheck (4 pts) — ABA Op. 512 holds that Rule 1.5(a) reasonableness factors apply at the time of charging, not just at engagement open. Re-test before invoicing.
- not a concern (0 pts) — Treating AFAs as immune to AI fee analysis is the highest-risk posture and is squarely contradicted by ABA Op. 512.
Why this matters:ABA Op. 512 [S02] holds that 'the factors set forth in Rule 1.5(a) also apply when evaluating the reasonableness of charges for GAI tools when the lawyer and client agree on a flat or contingent fee.'
What categories of AI use does your firm's policy address with respect to client confidences?
- tenant iso named (14 pts) — Strong. Map to vendor data-handling attestations.
- informed consent only (8 pts) — Informed consent alone is necessary but not sufficient — confirm the underlying tool actually meets tenant-isolation and no-training standards.
- no specific policy (0 pts) — Without a written policy distinguishing public-LLM from enterprise-isolated tools, you cannot show the carrier or the OCG audit you have a defensible posture.
Why this matters:California Practical Guidance [S08] and PA Joint Op. 2024-200 [S11] require both informed consent and a vendor-side tenant-isolation/no-training posture.
When did your firm's malpractice carrier last ask about AI governance at renewal?
- current cycle (12 pts) — Have the renewal pack ready. Aging-out renewals where you forwarded the policy + alignment brief survive the carrier review.
- last cycle partial (6 pts) — Carriers are escalating questions cycle-over-cycle. Build the renewal pack ahead of next cycle.
- never asked (4 pts) — Net-neutral but carrier behavior is changing fast. Pre-build the renewal pack so the next cycle is friction-free.
Why this matters:At least one major program has added AI-attributable exclusions; the renewal questionnaire now includes AI-governance questions specifically.
Artifact 04 — Pre-bill AI-time documentation pack
The matter file the carrier reads. The matter file the fee-shifting motion exhibits.
Sectioned A–G. Each section is the artifact the firm produces and retains for every AI-material matter. The carrier-renewal questionnaire asks for these items by name; a Rule 1.5(a) reasonableness challenge or a malpractice-defense exhibit pulls them from the matter file. Build the pack once; export at every billing cycle and at every renewal.
Pre-bill pack — section outline
A. Tool authorization at engagement open.
Confirm the AI tool used on the Matter is on the firm's authorized list as of the engagement-open date. Where the client OCG requires pre-approval of specific tools, the OCG-response memo names the approved tools and the date of approval. Retained: authorized-tools register snapshot at engagement open.
B. Rule 1.4 communication note.
Per ABA Op. 512 [S01] and the NYSBA Task Force [S09], the matter file records (1) that disclosure to the client about AI use was considered, (2) the decision (disclose / do not disclose / disclose conditionally), and (3) the basis (informed consent already obtained in the engagement letter; no client confidences input; client OCG defines disclosure default). Where disclosure is made, the communication itself is in the file.
C. Time-entry narrative.
AI-assisted time entries distinguish (1) AI-output review and refinement (billable on hourly), (2) AI-output verification (cite-check, source-pull, fact-check — billable on hourly), (3) AI-tool learning time (not billable on hourly, except where client specifically requested the tool — Texas Op. 705 [S04] and ABA Op. 512 [S01] both name this), and (4) AI-saved time (not billable). The time-entry template in the firm's billing system is configured to capture each category.
D. Supervisor-review record.
For each AI-assisted work product, the responsible attorney's verification is recorded with timestamp. The verification confirms factual and citation accuracy before any use, filing, or transmission. The supervisor sign-off is the operational expression of the Rule 5.3 nonlawyer-assistance standard ABA Op. 512 imports for AI [S03].
E. AI-tool-usage log retention schedule.
Authorized AI tools log the user, timestamp, prompt, and output for each session on a Matter. The firm retains the log for a minimum of three years post-matter closure (or per the client OCG's longer retention requirement). Where full prompt-and-output retention is itself a confidentiality risk (the prompt would be protected as work product if separately written), the firm retains a hashed or summary-level log instead.
F. Pre-bill review.
Before each invoice issues, the responsible attorney or firm administrator reviews the matter file for (1) any AI-saved time appearing on the bill, (2) any AI-subscription pass-through that lacks documented client consent, (3) any AI-assisted time entry that is not paired with a supervisor-review record, and (4) any AI-material matter where the Rule 1.4 communication note is missing. The pre-bill review is documented in the billing system.
G. Carrier-renewal export.
At the end of the policy period, the firm exports a matter-list summary with the AI-material flag, the count of disclosure-considered notes, the count of supervisor-reviewed AI work products, the cite-check log totals, and the count of any reportable AI-related incidents. The export is the carrier-renewal exhibit. A firm that hands the broker the export at renewal is not asked the open-ended governance question.
Artifact 05 — State-bar fee-rule overlay
Thirteen jurisdictions. Where each goes beyond ABA Opinion 512 on fees.
A multi-state firm builds to the highest standard once and satisfies every jurisdiction in its footprint. The Florida 24-1 informed-consent rule and the Texas 705 hourly-billing rule are the two most operationally consequential overlays. Each row links to the operative authority and names the firm's required pre-bill documentation if the matter is venued there.
| Jurisdiction | Operative authority | Where it goes beyond Opinion 512 | Operational impact |
|---|---|---|---|
| California | Cal. State Bar Practical Guidance for the Use of Generative AI in the Practice of Law (Nov. 16, 2023). [S08] | Explicit ban on charging the client for AI-saved time; explicit anonymization-of-input requirement. | Clause 03 names the actual-hours-only billing posture; matter file documents anonymization of any input. |
| Florida | Fla. Bar Ethics Op. 24-1 (Jan. 19, 2024). [S05] [S06] | Informed consent before any third-party AI disclosure of confidential information; in-writing-preferred disclosure of intent to charge actual AI cost. | Clauses 02 and 04 obtain specific consent and document the AI-cost intent in writing. |
| New York | NYSBA Task Force on AI Report (April 6, 2024). [S09] [S10] | Most disclosure-forward state guidance; client disclosure of AI use is the default; sample engagement-letter clause provided. | Rule 1.4 communication note in every AI-material matter; Clause 01 substantively mirrors the NYSBA sample. |
| District of Columbia | D.C. Bar Op. 388 (April 2024). [S07] | Hourly-billing efficiency rule stated explicitly: efficiency does not entitle the lawyer to bill more than actual hours. Two-question confidentiality framework. | Clause 03 actual-hours posture; matter file records the two confidentiality questions per AI-material matter. |
| Illinois | Illinois ARDC, Illinois Attorney's Guide to Implementing AI (Oct. 2025); Illinois Supreme Court AI Policy. | Practitioner-implementation framework aligning with ABA Op. 512; emphasizes documented AI-use implementation per firm. | Firm AI-use policy and Clauses 01, 03 align with the ARDC framework. Reviewed annually. |
| Texas | Tex. Comm. on Prof. Ethics, Op. 705 (February 2025). [S04] | Reaffirms ABA 512 under Texas Disciplinary Rules; explicit per-use AI subscription pass-through with client agreement; Texas Rule 1.05 confidentiality framework. | Clause 04 names per-use posture and writing requirement; AI policy maps to Rule 1.05 (not Model Rule 1.6). |
| New Jersey | Sup. Ct. of N.J., Preliminary Guidelines on the Use of AI by N.J. Lawyers (Jan. 24, 2024). [S12] | Verification-of-AI-output framed as RPC duty; AI use does not require disclosure but does not excuse false content. | Clause 05 supervisor-review protocol satisfies; cite-check log per filing. |
| Pennsylvania | Pa. Bar Ass'n + Phila. Bar Ass'n, Joint Formal Op. 2024-200 (May 22, 2024). [S11] | Eight ethical duties enumerated; explicit prohibition on input of confidential information into AI lacking adequate confidentiality and security protections. | Clauses 01, 02, 03 satisfy. AI policy maps to all eight duties; vendor attestations on file. |
| Washington | Washington State Bar Association — RPC 1.5 (Fees) and emerging WSBA AI guidance under the LEC. | Mirrors ABA Op. 512's Rule 1.5 analysis; Washington practitioners track WSBA Standing Committee guidance. | Clauses 01, 03 satisfy; firm tracks WSBA guidance updates in the freshness loop. |
| Massachusetts | Massachusetts Bar Association — RPC 1.5; Massachusetts Supreme Judicial Court standing-order coverage. | Mirrors ABA Op. 512 with state-court standing-order overlay relevant to litigation matters. | Clauses 01, 03; standing-order register current per district. |
| Georgia | State Bar of Georgia — Formal Advisory Opinion development on AI (in process); Georgia RPC 1.5. | Mirrors ABA Op. 512 absent a Georgia-specific opinion; Georgia firms watch FAO development cycle. | Clauses 01, 03; firm tracks Georgia FAO developments in the freshness loop. |
| Ohio | Ohio State Bar Association — Ohio Supreme Court guidance and Ohio RPC 1.5; emerging Ohio AI Council activity. | Mirrors ABA Op. 512; emerging Ohio Supreme Court guidance worth tracking. | Clauses 01, 03; freshness loop tracks Ohio Supreme Court AI activity. |
| North Carolina | N.C. State Bar — Formal Ethics Opinion development on AI (in process); N.C. RPC 1.5. | Mirrors ABA Op. 512 absent an N.C.-specific opinion; N.C. firms watch FEO development. | Clauses 01, 03; firm tracks N.C. FEO developments in the freshness loop. |
Each row's authority traces to the citation manifest at the bottom of this page. The states-deeper page for each jurisdiction in the dataset is linked from the Related section. The freshness loop revalidates each operative authority on a monthly cadence and opens a PR with any deltas.
Read or forward
Five formats. Same five artifacts.
Word template (.docx)
The editable engagement-letter pack
The five clauses, the OCG-response template, and the pre-bill documentation pack — in one editable Word document. Placeholders highlighted in yellow. Open in Word, replace, save under your firm's filename.
Download .docx →Article
Read on this page
The five clauses, the fee-treatment decision matrix, the OCG-response template, the pre-bill documentation pack, and the state-bar overlay — top to bottom.
Scroll up →Full PDF
The 38-page reading version
Footnoted, source-linked, print-formatted. The version the ethics partner reviews. All five artifacts, primary-source citations, operative-language excerpts, and the adoption checklist.
Download →Summary PDF
The 2-page forwarder
Single sheet, both sides. The five clauses on the front, the fee-treatment decision matrix on the back. The version the administrator forwards to the managing partner.
Download →Slideshow PDF
The 16-slide partner-meeting deck
Designed for a 14-minute walkthrough at the next partners meeting. Slide-per-clause structure with the OCG-response template at the close. Carrier-renewal slide included.
Download →
No form, no email gate. PDFs forward freely. The forward route — /phase-7/one_pager_law_ethics_diagnostic.md — links the diagnostic engagement page that paired with the policy template (/phase-7/aba_opinion_512_alignment.md) is the secondary route on this resource.
The math the CFO and ethics partner read together
Defendable bills. Renewed coverage. The OCG audit that does not derail the matter.
Bloomberg Law's October 2025 reporting on the ACC-Everlaw 2025 In-House Counsel survey and the Bloomberg Law State of Practice survey found that nearly 60% of in-house counsel have seen no noticeable savings yet from outside counsel's use of generative AI; 13% see fewer billable hours and 20% see better turnaround times. [S13] The implication is that the question — "did AI save you time, and if so, why does the bill not reflect that?" — has not yet been asked of most matters. It will be. The pre-bill documentation pack is the answer the firm has ready.
The cost of one avoided malpractice claim — typically $500K-$5M in settlement and premium impact — exceeds the engagement fee for the full Fee-and-Engagement-Letter Diagnostic by an order of magnitude. The firm does not need to avoid every claim. It needs to avoid one.
In-house counsel reporting no noticeable savings yet from outside counsel AI use
60%
Bloomberg Law / ACC-Everlaw, Oct. 14, 2025. [S13]
In-house counsel seeing fewer billable hours from outside counsel AI use
13%
Bloomberg Law State of Practice survey. [S13]
Fee-and-Engagement-Letter Diagnostic, fixed fee
$25K–$60K
Two-to-three month engagement; jurisdictional footprint dependent.
Jurisdictions covered in the state-bar fee-rule overlay
13
CA, FL, NY, DC, IL, TX, NJ, PA, WA, MA, GA, OH, NC.
Boilerplate consent included in engagement letters will not be adequate.
— ABA Formal Op. 512 (July 29, 2024) — Boilerplate consent rejection [S01]
A lawyer who has undertaken to bill on an hourly basis is never justified in charging a client for hours not actually expended.
— Texas State Bar Op. 705 (February 2025) — Hourly-billing rule [S04]
A lawyer must not charge the client the time saved due to the use of GenAI.
— California State Bar Practical Guidance (November 16, 2023) — Billing rule [S08]
If a lawyer has agreed to charge the client on this basis (i.e., hourly), and it turns out that the lawyer is particularly efficient in accomplishing a given result, it nonetheless will not be permissible to charge the client for more hours than were actually expended on the matter.
— DC Bar Op. 388 (April 2024) — Efficiency rule [S07]
Frequently asked
Twelve questions practitioners actually ask after reading the opinions.
Pulled from People-Also-Ask data, r/Lawyertalk and r/biglaw discussion threads, bar-association comment sections, and CLE-program Q&A.
Can a lawyer charge a client for time saved by using generative AI?
Does Rule 1.5 require a fee discount when AI reduces hours on a flat-fee matter?
Can a flat fee remain the same when AI shortens the work?
Can a lawyer bill for time spent learning a generative AI tool?
Can AI subscription costs be passed through to clients?
Is client informed consent required before using AI on a matter?
What language should an engagement letter contain about AI use?
Do alternative fee arrangements (AFAs) eliminate the Opinion 512 fee problem?
How should a firm document AI time on a matter for fee defensibility?
What does Texas Opinion 705 require beyond ABA 512?
What do we do when a client OCG bans AI use on the matter entirely?
How does Rule 1.4 communication apply to AI use mid-engagement?
The OCG AI Clause Crosswalk
Thirty rows. Refreshed quarterly. Linked from this URL.
The dataset that backs the OCG-response template (Artifact 03). Each row names the clause category, the industries where the clause is most common, a composite (anonymized) clause language sample, the firm's recommended response posture, the rationale, the operative ethical rule, and the source citation. Updated quarterly as new OCGs surface in publicly available material (procurement portals, ACC published guidance, court filings, attorney-general OC contracts).
| Clause category | Observed industries | Recommended response | Operative rule |
|---|---|---|---|
| Outright generative-AI ban | Health care; Government; Defense | Negotiate | ABA 1.5/1.6/5.3 |
| Pre-approval of specific AI tools | Financial services; Health care; Government | Accept | ABA 1.6/5.3; CA Practical Guidance |
| AI use disclosure required | Financial services; Tech; Insurance | Accept | NYSBA Task Force; ABA 1.4 |
| AI saved-time discount | Financial services; Tech; Pharma | Accept | ABA 1.5; CA; TX 705; DC 388 |
| AI subscription pass-through prohibition | Health care; Government | Accept | ABA 1.5; ABA 512 fees |
| Indemnification for AI errors | Tech; Pharma; Insurance | Reject | ABA 5.1/5.3; carrier exclusion |
Full 30-row dataset — CSV / JSON above. Attribution: Zusman Partners, this canonical URL.
How this page was built
Methodology, citation discipline, and review cadence.
The page draws from primary regulator publications (ABA Standing Committee on Ethics and Professional Responsibility, Texas Committee on Professional Ethics, California State Bar Standing Committee on Professional Responsibility and Conduct, Florida Bar Board of Governors, District of Columbia Bar Legal Ethics Committee, New York State Bar Association Task Force on Artificial Intelligence, Pennsylvania-Philadelphia Joint Formal Opinion 2024-200, and Supreme Court of New Jersey notices), one corporate-billing-guideline survey (Bloomberg Law / ACC-Everlaw 2025), and the Texas Attorney General's published Outside Counsel AI Use Policy. Every citation in the page is verified against a fetched URL listed in the citation manifest at marketing/website/src/content/resource-sources/ai-engagement-letter-fee-billing.json. Where the original primary-source document was not directly fetchable in the build environment (for instance, the americanbar.org PDF behind authentication), the page cites a follow-on publication that quoted the primary source verbatim, and the manifest records both the verbatim quote and the URL fetched.
The dataset is a categorical crosswalk synthesized from publicly published OCG templates (the ACC Sample AI Guidelines for Outside Counsel, June 2025; the Texas Attorney General's Outside Counsel AI Use Policy, last revised July 31, 2025; Bayer's published billing guidelines), state-bar opinions, and big-firm practitioner commentary. No client-confidential OCG is reproduced. Where a clause category is observed across multiple industries, the dataset names the most commonly observed industries, not an exhaustive list.
The page is reviewed monthly. Every source in the citation manifest is re-fetched on the freshness cadence; deltas open a PR for human review. The version-history table in the disclosure footnote names the date of each substantive update, the source of the change, and the section affected. The diagnostic in the Assessment section is calibrated against the same manifest claims; a question's score-feedback copy and the source citations move in lockstep with the manifest.
Primary-source citation manifest
Fourteen sources. Every claim on this page traces to one.
- [S01] ABA Comm. on Ethics & Prof. Resp., Formal Op. 512 (July 29, 2024) — Generative Artificial Intelligence Tools. Primary source (PDF) · commentary.
- [S02] ABA Formal Op. 512 (July 29, 2024) — Six Model Rules and hourly-billing rule, as quoted in Generative Artificial Intelligence Tools, The Bar Examiner (Fall 2024). Source.
- [S03] ABA Formal Op. 512 (July 29, 2024) — Informed-consent risk disclosure and supervision. Primary source (PDF) · commentary.
- [S04] Tex. Comm. on Prof. Ethics, Op. 705 (February 2025). Source.
- [S05] Fla. Bar, Ethics Op. 24-1 (January 19, 2024) — Confidentiality (Rule 4-1.6). Source.
- [S06] Fla. Bar, Ethics Op. 24-1 (January 19, 2024) — Fees (Rule 4-1.5) and verification. Primary source · commentary.
- [S07] D.C. Bar Legal Ethics Comm., Op. 388 (April 2024). Source.
- [S08] State Bar of Cal. Standing Comm. on Prof. Resp. & Conduct, Practical Guidance for the Use of Generative AI in the Practice of Law (Nov. 16, 2023). Primary source (PDF) · commentary.
- [S09] N.Y. State Bar Ass'n, Report and Recommendations of the Task Force on Artificial Intelligence (Adopted April 6, 2024). Primary source (PDF) · summary.
- [S10] NYSBA Task Force Report (April 6, 2024) — Sample engagement-letter clause and Rule 1.5 surcharge guidance. Primary source (PDF) · commentary.
- [S11] Pa. Bar Ass'n + Phila. Bar Ass'n, Joint Formal Op. 2024-200 (May 22, 2024). Primary source (PDF) · commentary.
- [S12] Sup. Ct. of N.J., Notice to the Bar — Preliminary Guidelines on the Use of AI by N.J. Lawyers (Jan. 24, 2024). Primary source (PDF) · judiciary AI page.
- [S13] Bloomberg Law, AI Does Little to Reduce Law Firm Billable Hours, Survey Shows (Oct. 14, 2025) — citing ACC-Everlaw 2025 and Bloomberg Law State of Practice surveys. Source.
- [S14] Fla. Bar, Ethics Op. 24-1 — Lawyer advertising via AI chatbots. Primary source · commentary.
- [S15] Office of the Tex. Att'y Gen., Outside Counsel Acceptable AI Use Policy (last revised July 31, 2025). Primary source (PDF).
- [S16] Ass'n of Corporate Counsel, Sample Artificial Intelligence (AI) Guidelines for Outside Counsel (June 4, 2025). Primary source (member-gated).
Found a citation that no longer reads as it does on this page? Email todd@zusmanpartners.com with the source ID, the claim, and the counter-evidence. We re-fetch on the freshness loop and update the page with a version-history entry on the next review.
Version history & disclosure
Reviewed and re-verified on a monthly cadence.
| Date | Change | Source |
|---|---|---|
| 2026-05-04 | Initial publication. | Manifest as of 2026-05-04. |
When the template is not enough on its own
Have us run the diagnostic for your firm.
You describe the situation — the OCG you just received from the new corporate client, the carrier renewal questionnaire, the partners-meeting agenda. We audit the firm's actual billing posture on AI-assisted matters, calibrate the engagement-letter language to your client mix, draft the OCG-response memos, and train the attorneys on the Rule 1.5 pre-bill protocol. Fixed fee. Two-to-three months at most firms. The diagnostic stands on its own if you stop after it.
Direct: todd@zusmanpartners.com.