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California's Senate Bill 574, signed by Gov. Gavin Newsom on 30 September, writes limits on generative AI into state law for attorneys and arbitrators. Lawyers may not hand the practice of law to an AI system. They must check every case and statutory citation it produces and tell courts when they used it. Arbitrators may not let AI make any part of a decision. In a 26 October analysis, attorneys at Mayer Brown call SB 574 the first US statute aimed specifically at these legal uses of AI. The rules start on 1 January. Two practical questions remain open: what counts as delegation, and whether duties written for courts also reach arbitration.
Key takeaways
- Signed into law: Gov. Gavin Newsom signed California Senate Bill 574 on 30 September, and its limits on generative AI in legal work take effect on 1 January.
- Citations must be read: Under SB 574, court filings may cite only authorities that the responsible attorney has personally checked, and AI use must be disclosed to the court.
- Arbitrators kept human: A new section of the California Arbitration Act bars arbitrators from handing any part of their decision-making to generative AI.
- Open question for AAA: Mayer Brown says it is unresolved whether the AI Arbitrator launched in November 2025 by the American Arbitration Association's International Centre for Dispute Resolution satisfies rules requiring human decisions.
Table of contents
- Key takeaways
- What SB 574 Requires of Lawyers Before They File
- Why Client Data Now Needs a Locked Door
- How the Law Keeps Arbitrators' Decisions Human
- Where Machine-Drafted Awards Meet the New Rules
- What Lawyers and Arbitrators Should Do Before 1 January
- Will SB 574 hold up in practice?
- What to be careful about
- Frequently asked questions
What SB 574 Requires of Lawyers Before They File
The core rule for lawyers is easy to state. Generative AI can help, but it cannot practise law. Generative AI is software that produces new text, such as a draft brief, in response to a prompt. Under SB 574, an attorney may not hand the practice of law over to such a tool.
Verification comes next. Attorneys must take reasonable steps to check what the system produces, each case and statutory citation included, and must fix anything that is wrong or invented. Mayer Brown links this duty to a familiar failure: AI tools citing authorities that sound real and do not exist.
The filing rules go further. A document submitted to a court may cite only authorities that the responsible attorney has personally read and verified. A citation that merely looks credible is not enough. Lawyers must also disclose generative AI use in what they file with courts. Mayer Brown notes that many of these duties already exist as ethical obligations, and the statute now gives them a firmer legal footing.
Why Client Data Now Needs a Locked Door
SB 574 also governs what goes into an AI system in the first place. Attorneys may not feed a tool confidential material, personally identifying details or other nonpublic information unless access is confined to the attorney and authorised people who are bound to protect it. A tool whose access cannot be limited in that way does not meet the standard.
This provision turns a vendor's access controls into a legal question. It is the part of the law most likely to land on a firm's technology decisions rather than its brief-writing habits, because it concerns where data sits, not how a lawyer reasons.
Arbitration adds further layers. Confidentiality there can arise from the parties' own agreement, from an institution's rules or from a procedural order, so the body of protected material may be wider than in court. Mayer Brown's attorneys treat a review of each tool's access controls as an essential step in protecting case files.
How the Law Keeps Arbitrators' Decisions Human
For arbitrators, the focus is the decision itself. A new section of the California Arbitration Act bars handing any part of the decision-making process to generative AI. The ban covers the whole process, not only the final ruling.
A second rule deals with information from outside the record. An arbitrator who wants to rely on AI-generated material the parties never put in evidence must first disclose it and, where practical, let the parties comment. The aim is procedural fairness, so that a party can challenge anything that shapes an award. Existing duties of neutrality, competence and diligence still apply.
Sen. Tom Umberg, the bill's author, said decisions entrusted to arbitrators should be "made by people, not algorithms," in remarks reported by Law.com on 1 October. The principle has a parallel abroad. In ARIHQ v. Santé Québec, the Quebec Superior Court set aside an arbitral award because decision-making authority had been improperly delegated to AI, Mayer Brown notes.
Where Machine-Drafted Awards Meet the New Rules
California's line runs into a service that already exists. In November 2025, the American Arbitration Association's International Centre for Dispute Resolution launched an AI Arbitrator built to generate awards, not just to support a human tribunal. It is open only to parties who consent, and only in narrowly defined construction disputes decided on documents alone. The system drafts an award that people then review, validate and revise.
Whether that human layer satisfies a rule demanding human decision-making is still unsettled, Mayer Brown's attorneys write. A draft produced by software and approved by a person sits squarely in the gap the statute leaves undefined.
Two further gaps matter. The statute does not spell out what counts as delegating legal practice, and it is unclear whether the court-focused disclosure and filing rules also cover submissions in arbitration. Mayer Brown says the answers could decide where firms draw the line between permitted assistance and prohibited substitution.
What Lawyers and Arbitrators Should Do Before 1 January
Mayer Brown recommends that attorneys and arbitrators audit their AI practices before 1 January, the date SB 574 takes effect. That means recording how each service is used and confirming that confidential material stays inside restricted systems.
Parties to disputes are advised to agree AI protocols at the start of a case and raise expectations with the tribunal early, rather than discovering a disagreement once an award has been issued.
The consequences reach beyond an embarrassing brief. Mayer Brown warns that an award revealing undisclosed AI involvement, or improper delegation, could be challenged on statutory grounds as well as on procedural fairness. For a firm, the practical shift is from trusting individual judgment to being able to show, on paper, where AI touched the work and where a named person took responsibility for it.
| Provision | Applies to | What it requires |
|---|---|---|
| No delegation of legal practice | Attorneys | AI may assist but cannot practise law |
| Output verification | Attorneys | Check every case and statutory citation; fix errors |
| Court filings | Attorneys | Cite only authorities personally read and verified |
| Disclosure | Attorneys | Disclose generative AI use in court filings |
| Confidential data | Attorneys | Nonpublic information only in access-restricted tools |
| No delegation of decisions | Arbitrators | No part of decision-making handed to AI |
| Outside-record AI material | Arbitrators | Disclose to parties and allow comment where practical |
Will SB 574 hold up in practice?
The case for
- Writing existing ethical duties into statute gives courts and parties a clear legal basis for enforcing them.
- The personal-verification rule for court filings directly targets fabricated citations from AI tools.
- Disclosure duties for arbitrators give parties a chance to challenge AI-sourced material before it shapes an award.
The case against
- The statute does not define what counts as delegating legal practice, leaving firms to guess where assistance ends.
- It is unclear whether disclosure and filing rules written for courts extend to arbitral submissions.
- Services such as the AAA's AI Arbitrator, which drafts awards for human review, sit in an unresolved zone under the new rules.
What to be careful about
- Awards showing undisclosed AI involvement or improper delegation could face challenges grounded in the statute as well as procedural fairness.
- Attorneys who enter confidential or personally identifying information into tools without restricted access could breach SB 574.
- Firms that lack documentation of how AI was used may struggle to show compliance once the law applies on 1 January.
The bottom line
SB 574 does less to invent new duties than to harden old ones. Verifying citations, guarding client data and keeping judgment human were already expected of California lawyers. From 1 January those expectations are written into statute, and arbitrators are covered too. The harder work lies at the unsettled edges. The law does not define where assistance ends and delegation begins, and the AAA's AI Arbitrator tests that boundary directly with machine-drafted awards. The Quebec Superior Court has already shown that an award can be set aside over improper delegation, and California has now given parties a statutory basis for the same argument. Firms that can document how AI entered a file will be better placed than those that cannot.
What to watch
- SB 574 takes effect on the coming 1 January, the first point at which lawyers and arbitrators in California can be held to its rules.
- Watch for any guidance or ruling on whether the court-focused disclosure and filing duties also cover arbitral submissions; no date has been set.
- Watch whether the AAA's International Centre for Dispute Resolution adjusts its AI Arbitrator for California disputes; no announcement has been made.
Frequently asked questions
Does California's SB 574 ban lawyers from using AI?
No. SB 574 lets attorneys use generative AI for assistance but bars them from delegating the practice of law to it. They must verify its output, disclose its use in court filings and keep nonpublic information out of tools without restricted access.
Do the SB 574 disclosure rules apply to arbitration filings?
That is unclear. Mayer Brown's 26 October analysis lists it as an open question whether the court-focused disclosure and filing provisions extend to arbitral submissions.
What happened in ARIHQ v. Santé Québec?
The Quebec Superior Court annulled an arbitral award because decision-making authority had been improperly delegated to AI. Mayer Brown cites the case as a parallel to California's ban on arbitrators delegating decisions to generative AI.
Can the AAA AI Arbitrator be used under California's new law?
Mayer Brown says it remains unresolved whether the human review, validation and revision built into the service satisfies rules requiring human decision-making. The AI Arbitrator, launched in November 2025, is limited to consenting parties in documents-only construction disputes.
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