AI for Compliance Counsel: 50-State Research & Subpoenas
Caitlin Price, Social Media & Content Marketer•Published
Compliance counsel may need to answer the same regulatory question across many states, respond to subpoenas, prepare internal investigations, and document how the company handled a compliance issue. A 50-state survey is a common example: counsel researches how the same legal question is treated in each state, then confirms that each answer is supported by the applicable law or official source.
The examples below use GC AI, an enterprise legal AI software built for in-house counsel and used by 2,100+ law departments. Our co-founder and CEO Cecilia Ziniti is a three-time general counsel, worked in-house at Amazon and Cruise, and was the founding lawyer on Amazon Alexa.
Ziniti built GC AI to solve problems she experienced firsthand as an in-house lawyer. That experience matters here because compliance counsel face the same need to research across jurisdictions, verify sources, and exercise judgment before relying on the result.
An independent benchmark shows why lawyer verification still matters.
The October 2025 Vals Legal AI Report found that average weighted scores across 14 questions requiring research across multiple jurisdictions were 14 points lower than scores on single-jurisdiction questions.
On its one 50-state question, some answers were correct in substance but did not cite authoritative legal sources. GC AI was not tested in the report.
Ritesh Patel, Chief Legal Officer at Viant Technology, describes why source visibility matters in practice:
Having sources and links right there builds trust. You can check the law yourself, and that trust drives adoption across the team.
The practical approach is a two-pass workflow: use AI to find and organize the relevant law or records, then have counsel verify the sources and final conclusions before relying on the work.
Why Regulator-Facing Work Needs a Verifiable Record
Compliance counsel help the company understand and meet its legal obligations to regulators. Because this work may later be reviewed outside the company, counsel should be able to show what law or records were reviewed, what remained uncertain, and who approved the final answer.
The Department of Justice's Evaluation of Corporate Compliance Programs, updated in September 2024, asks prosecutors to consider how a company manages risks created by technologies such as AI and whether its controls monitor AI's trustworthiness, reliability, and lawful use.
For an in-house legal team, that translates into three practical questions:
- How is AI being used?
- Who checks the output?
- What sources support the answer?
The AI for legal compliance guide covers the broader compliance-program issues. Here, the focus is the legal work product itself.
Research Each State, Then Verify the Source
A 50-state survey is easier to manage when the team separates research from verification:
- Research pass: Define the question precisely, including the company's planned activity, the relevant entity or facility, the states in scope, and the date the answer needs to cover. Then use AI to identify each state's proposed answer and the legal authority supporting it.
- Verification pass: Open the cited sources, check definitions and exceptions, confirm effective dates, and mark any state that remains unresolved. In this article, primary authority means the actual law or official source governing the question, such as a statute, regulation, court decision, or agency rule.
On CZ and Friends, GC AI's podcast for in-house legal leaders, Doug Leeds joined Ziniti for a discussion of legal product management. Ziniti described working on a 50-state wiretap and consent survey at Amazon for Alexa.
Leeds uses the Alexa example to define legal product management: identify the legal risk, then build the fix into the product itself. In this case, the team turned the 50-state wiretap analysis into an on-device listening light.
The legal topic was different, but the workflow is directly relevant here: answer the question jurisdiction by jurisdiction, verify the legal support, then turn the result into an operational decision.
For a licensing survey, define the company's planned activity before asking whether a license is required. A rule that applies to one type of distributor, facility, or product may not answer the question for another.
With GC AI's Research, counsel can ask for a state-by-state table showing the proposed conclusion, the primary legal source, the passage supporting the conclusion, and any unresolved issue. The table is a starting point. Counsel still opens the cited source and confirms that it applies.
For complex surveys, GC AI can run research agents in parallel across the states in scope and synthesize the findings into a cited comparison. Counsel should still verify each authority's applicability, effective date, and supporting passage before relying on the result.
For pharmacy-law research, the National Association of Boards of Pharmacy (NABP) Survey of Pharmacy Law can provide a useful secondary cross-check. The applicable state statute, regulation, board rule, or agency guidance remains the source supporting the final conclusion.
The same principle applies to controlled substances. Federal scheduling does not automatically determine how a state treats the same drug. Check the state's current schedule and related agency guidance, confirm the effective date, and separate scheduling from any additional licensing, reporting, or distribution requirements.
Keep a Primary-Source Log
Once AI has produced a first-pass answer, counsel needs a simple record of what was checked. A Primary-Source Log does that by recording the legal question, the source supporting the answer, the lawyer's review status, and anything that remains unresolved.
This is a suggested lawyer-owned review tool. It is not an automated GC AI confidence score.
| Field | What to record | Why it matters |
|---|---|---|
| State and legal question | The state, regulated activity, relevant entity or facility, and the exact question being answered | Makes the scope clear and helps expose a missing state or issue |
| Proposed conclusion | The current answer, including assumptions and limits on when it applies | Prevents a narrow answer from being reused too broadly |
| Primary legal source | The statute, regulation, board rule, court decision, or other governing source, with the section and direct URL | Shows which legal authority supports the answer |
| Supporting language | The language that supports the conclusion, including relevant definitions, exceptions, and cross-references | Lets the reviewer see why the source supports the answer |
| Applicable dates | The date the answer must cover and the source's effective or amendment date | Helps prevent current law from being applied to the wrong time period |
| Review status | Not reviewed; verified for the stated scope; conflicting sources unresolved; or primary authority not located | Makes clear which answers are ready to use and which are not |
| Reviewer and check date | Who reviewed the source and when | Creates a visible record of the verification step |
| Open issue and next action | What remains unresolved, who will investigate it, and whether the current conclusion can be used | Turns uncertainty into a specific follow-up |
Example: A Licensing Answer That Is Not Yet Verified
Suppose a company plans to ship a product from another state to pharmacies in fictional State A. A secondary summary says the company may qualify for a licensing exemption, but counsel cannot find the state law or regulation that creates that exemption.
The Primary-Source Log would make the uncertainty explicit:
- Proposed conclusion: A licensing exemption may apply, but it has not been established.
- Primary legal source: Not located.
- Supporting language: None recorded because the governing source has not been found.
- Applicable dates: The relevant effective date is still unconfirmed.
- Review status: Primary authority not located.
- Reviewer and check date: Record who performed the review and when.
- Next action: Find the applicable licensing provisions and definitions, then confirm whether the exemption covers the company's planned activity. Do not rely on the exemption until that review is complete.
This fictional example shows the review method only. It is not a customer example, a GC AI output, or a statement about the law of any state.
The important point is that a missing source is an unresolved answer, not evidence that no requirement exists. Likewise, opening a cited link is not enough; counsel still has to confirm that the cited provision supports the conclusion and applies to the company's facts.
For broader platform selection, see our best AI tools for legal research guide.
Use Legal AI to Organize a Regulator Subpoena
AI can help organize a subpoena response, but counsel controls the legal decisions throughout the process.
Confirm the Authority and Response Requirements
Start with four questions: who issued the subpoena and under what authority, what information it requests, when and how the company must respond, and which issues require an objection or clarification.
For a DEA administrative subpoena, 21 U.S.C. § 876 gives the Attorney General authority to require records relevant or material to investigations within the statute's scope. Section 876(c) provides a process for seeking a court order to compel compliance. The actual subpoena, applicable agency rules, and any agreement with the agency still control details such as deadline, format, scope, and response procedure.
If the request concerns controlled-substance distribution, 21 CFR § 1301.74(b) can help explain why particular records matter. It requires registrants to operate a system for identifying suspicious orders and to inform the DEA field office when suspicious orders are discovered.
Before uploading subpoena materials to an AI platform, check confidentiality, access, retention, and any restrictions on disclosure. ABA Formal Opinion 512 addresses lawyers' duties when evaluating those risks.
Map Each Request to the Company's Records
If the materials can be uploaded under the applicable rules, organize the subpoena, cover letter, and approved internal records in GC AI's Files. Create a request-by-request table showing:
- What each request asks for, including its date range and production instructions
- Which uploaded records may respond to the request, with source references
- Which records appear to be missing
- Which requests are ambiguous or require a legal decision
- Whether a request overlaps with an earlier production in the file set
Review Before Anything Is Produced
Counsel checks the table against the subpoena and the company's actual records. The uploaded collection may be incomplete, and identifying a document as potentially responsive does not determine whether it should be produced.
The reviewed table can then support questions to the agency and draft correspondence. Confirm any change to scope, format, or timing before relying on it. Counsel remains responsible for responsiveness, privilege, objections, and the final production.
Rebecca Fike, a partner in Reed Smith's Global Regulatory Enforcement Group who spent ten years as senior counsel in SEC Enforcement, summed up the human-review boundary while discussing how defense lawyers use AI in SEC investigations:
AI is great as long as a human is at the other end of it.
Use AI to Prepare an Investigation While Counsel Directs the Work
Before an internal investigation reaches the interview stage, counsel usually has to make sense of the existing record: the original allegation or hotline report, the company policies that may apply, and the documents collected so far.
AI can help organize that material, draft questions, and build a chronology. Counsel still determines the purpose and scope of the investigation, who may access the material, what the evidence establishes, and how the findings should be used.
A practical workflow has five steps:
- Gather the investigation record in one place: Put the hotline report, relevant policies, and collected documents into GC AI's Files and a Project. Keeping the investigation materials together gives later research and drafting tasks the same document set to work from.
- Draft interview questions from the allegation and the company's rules: Ask for questions tied to the relevant code-of-conduct or policy provisions and organize them in the order the witness would have experienced the events.
- Build a dated chronology: Ask AI to create a timeline from the documents, with GC AI's Exact Quote linking each important entry to the passage that supports it. Counsel can then check the timeline against the record rather than relying on a summary alone.
- Review the legal and confidentiality boundaries: Counsel defines the investigation's legal purpose, limits access to authorized people, and checks the interview outline and chronology against the underlying documents.
- Use the findings to address the compliance issue: The DOJ guidance asks whether investigations identify root causes and whether lessons learned feed back into the compliance program.
Privilege and work-product protection require particular care when AI is involved. The United States v. Heppner ruling involved a defendant who used a consumer AI service and later gave the resulting materials to counsel.
On those facts, the court found that the materials were not protected by privilege or the work-product doctrine. The ruling does not create a universal rule for every legal AI workflow; it illustrates why counsel should assess privilege and work product based on the tool, communications, purpose, and governing law.
The file you build this week is the file a regulator may read next year.
Keep Compliance Committee Minutes Focused on Decisions and Follow-Up
Compliance committee minutes should make three things easy to find: what the committee decided, who participated, and what follow-up is required. Because those minutes may later be reviewed outside the company, counsel should make sure the final record accurately reflects the meeting without adding conclusions that were never reached.
Compare the meeting agenda, discussion notes, prior minutes, supporting materials, and follow-up assignments before drafting the minutes. AI can help organize those materials into a draft. Counsel decides what belongs in the official minutes and whether any issue needs separate escalation.
If the team uses GC AI's Custom Company Profile, it can provide the company's preferred terminology and writing style for the draft.
Track a Proposed Rule Before Drafting the Company's Comment
A rulemaking comment is a written submission to a government agency about a proposed rule. The proposal is published in the Federal Register, and the public docket on Regulations.gov contains the rulemaking materials and submitted comments. The notice of proposed rulemaking states the deadline for public comments.
Start by confirming the actual deadline and the proposal the company is responding to.
GC AI's Automations can schedule recurring research for jurisdictions, legal developments, or enforcement activity. Each run creates a new chat for review. Counsel can use that recurring research to spot a new proposal or change, then decide whether it affects the company.
When the company decides to submit a comment, gather three kinds of material: the proposed rule itself, the company's relevant operating data, and the public comments that have been filed so far. Keep those materials in one collection so counsel can compare the proposal with the company's evidence and see what issues other commenters are raising.
AI can help organize those materials and draft from them. Counsel verifies the proposed rule, decides the company's position, checks any factual support, and approves the final comment.
For a broader look at monitoring regulatory developments, see AI for compliance monitoring.
Before Relying on AI Work, Ask Four Questions
The same final review works across a 50-state survey, subpoena response, investigation chronology, committee record, or rulemaking comment:
- Did we answer the right question? Confirm the activity, time period, jurisdiction, request, or issue the work was supposed to address.
- Did we check the underlying sources? Open the relevant law, agency material, or company records rather than relying on the AI summary alone.
- Is anything missing or unresolved? Identify missing states, documents, conflicting sources, unanswered requests, or assumptions that still need review.
- Which parts come from the sources, and which parts are counsel's conclusions? Keep the factual record separate from the lawyer's analysis and final judgment.
For 50-state research, the Primary-Source Log records that review state by state. For document-based work, keep an equivalent record of what counsel reviewed, what remains missing, and what was approved. GC AI's Research citations and Exact Quote can make the underlying sources easier to inspect.
What GC AI, GRC, and Hotline Systems Each Handle
Legal AI, governance, risk, and compliance (GRC) software, and hotline systems do different jobs. GRC software tracks controls, evidence, testing, and other program workflows. Hotline systems collect incoming reports.
GC AI supports the legal work around those systems by helping counsel research law, analyze documents, and inspect the sources behind an answer.
Andrea Peters, Senior Counsel and Global Head of Compliance at Interface, describes how that capacity creates room for higher-value judgment:
Gives me the headspace for strategic thinking, and GC AI even acts as a thought partner.
Sensitive matters such as subpoenas and investigations also require vendor diligence. GC AI is SOC 2 Type II and SOC 3 certified, GDPR compliant, and encrypts data at rest with AES-256. Our security documentation says its AI model providers do not train on customer data and that zero-data-retention agreements are maintained wherever feasible; our subprocessor list is public.
Those controls do not decide whether a particular file may be uploaded. Counsel should still review the current terms, retention settings, access controls, and the organization's policies for the matter.
For compliance counsel, GC AI fits alongside existing compliance systems when the legal team needs cited research or document analysis with sources counsel can inspect.
