AI in Community Associations: Powerful Tool, or Legal Time Bomb?
Let AI help with the work, but never let it take over the responsibility.
Summarized from TUE, MAR 3, 2026 livestream. Video and Podcast links at end of article.
Artificial intelligence is already working its way into community associations.
Managers are using it to draft emails, summarize meetings, and speed up routine administrative tasks. Board members are experimenting with it to review documents, organize ideas, and save time on projects that once took hours. In many ways, that is exactly why AI has become so attractive. It is fast, accessible, and often surprisingly useful.
But speed is not the same thing as judgment.
That was the central theme of this discussion: AI can be a valuable assistant, but it becomes dangerous when people start treating it like a lawyer, insurance professional, engineer, or final decision-maker. In the association world, where confidentiality, fiduciary duty, insurance exposure, and document interpretation all matter, that distinction is critical.
AI is useful, but it is not neutral or reliable enough to run the show
The panel generally agreed that AI is here to stay and that community associations should learn how to use it rather than fear it. Used properly, it can reduce burnout, improve tone, help organize information, and save significant time.
That said, the conversation repeatedly returned to one caution: AI often sounds more confident than it deserves. It can be wrong, incomplete, misleading, or inconsistent, and it rarely warns the user clearly enough when that happens. It may cite the wrong section of a document, miss a critical amendment, confuse legal standards, or confidently present an answer that falls apart under closer review.
That creates a dangerous illusion. Because the output sounds polished, users may assume it is trustworthy. In reality, the more professional the answer appears, the more important human oversight becomes.
Where AI can help associations
The panel identified several practical uses where AI can provide real value when treated as a rough drafting or organizational tool.
One of the clearest examples was email drafting. AI can help soften tone, improve grammar, reorganize wording, and turn a tense message into something more measured and professional. That can be helpful for managers and board members who need to communicate clearly without escalating conflict.
AI also appears useful for summarizing long material. It can condense lengthy meeting notes, narrow down large documents, create action-item lists, and help users find relevant provisions in governing documents or other records. For someone facing a 70-page lawsuit, dense engineering report, or long virtual meeting transcript, that kind of assistance can be a major time saver.
The panel also saw value in using AI for first drafts of RFPs, checklists, violation letter templates, architectural response letters, and comparison summaries, provided the user carefully reviews every detail. In this role, AI acts more like a typist or organizing assistant than an expert.
That distinction matters. When AI is used to generate a starting point, and a qualified human reviews and revises the result, it can improve efficiency. When people skip the review and trust the draft as-is, the risk rises quickly.
Minutes, transcripts, and the problem of over-documenting
Meeting minutes were a good example of AI’s mixed value.
On one hand, AI can help organize notes, clean up language, and pull out action items. On the other hand, minutes are not supposed to become transcripts. AI may include too much detail, preserve statements that should not be memorialized, or create a record that is more expansive than the association wants or needs.
That becomes especially sensitive when executive session is involved. Confidential discussions should not be casually pasted into a public AI tool, and they generally should not be included in the official minutes anyway. A transcript or AI-generated record could create discovery issues later if litigation arises.
The broader lesson was simple: just because AI can create a fuller record does not mean that is wise. In some cases, the safer approach is to use AI only for narrow drafting support, then dispose of unnecessary transcripts or notes rather than preserving them indefinitely.
The biggest mistake: using AI instead of professionals
The sharpest warnings came when the conversation turned to legal advice.
The panel made a strong distinction between using AI to help organize information and using AI to replace an attorney. That line should not be crossed. AI may help identify issues, summarize language, or suggest questions to ask counsel, but it should not be relied on for legal interpretation, legal correspondence, or strategic legal decisions.
That is particularly important in community associations, where boards are expected to exercise due diligence and make informed decisions. Relying on AI as though it were a licensed professional can undermine that duty. A board that tries to save money by skipping legal advice and substituting AI may end up exposed not only to bad outcomes, but to personal liability.
The discussion also highlighted a practical reality: many legal questions in community associations are not clean or obvious. Governing documents are often ambiguous. Amendments differ from one community to another. State law varies. AI may miss a relevant provision, cite the wrong authority, or rely on material that was never enacted into law. A user without legal training may not even realize the answer is flawed.
In that sense, AI is not just risky because it makes mistakes. It is risky because it makes mistakes in a way that can look convincing.
Insurance concerns may be even more serious than people realize
The insurance discussion added another layer of caution.
One of the strongest warnings was that boards and managers may wrongly assume their insurance will protect them if they rely on AI inappropriately. But professional liability exclusions matter. Directors and officers coverage is not designed to protect people who step outside their role and begin acting as attorneys or other licensed professionals.
That means a board member who uses AI in place of proper legal consultation may be taking on risk personally. Trying to save money upfront could lead to much larger costs later if litigation follows and coverage becomes disputed.
The panel also raised concerns about cyber insurance, privacy, and data handling. Many general liability policies now exclude cyber-related losses altogether, making standalone cyber coverage increasingly important. As AI tools become more integrated into daily operations, associations and management companies need to pay close attention to where information is going, whether outputs are stored, and whether carriers are adding AI-specific exclusions.
In other words, the issue is no longer just whether AI helps write faster. It is also whether its use creates a trail of data, liability, and exposure that the user does not fully understand.
Confidentiality is one of the most overlooked risks
Another major concern was confidentiality.
If a user copies legal advice, litigation details, resident complaints, delinquency information, or other sensitive material into a public AI tool, that may create serious problems. Depending on the circumstances, it could waive attorney-client privilege, expose confidential information, or generate discoverable records that become relevant in future litigation.
Even deleting a chat may not solve the problem. Digital systems often preserve more than users realize, and parties in litigation may try to obtain records through discovery or subpoena processes. The panel’s practical advice was to treat AI communications with the same caution used for email: do not put anything into an AI platform that you would not want read aloud in court.
This is especially important for managers and board members who may not realize how easily sensitive material can be shared in the course of asking what seems like an innocent question.
Public AI versus closed AI
The discussion drew an important distinction between public AI tools and closed, proprietary systems.
Closed systems used internally by a company may offer a safer environment because the information is not being broadly shared outside the organization. That does not eliminate risk, but it can reduce some of the exposure tied to public tools. For companies that want to build AI into their operations, the recommendation was clear: move toward proprietary or internal systems wherever possible, and do not assume all AI platforms present the same privacy profile.
That kind of due diligence matters. Associations and management companies should not simply adopt AI because it is popular. They need to understand how the tool works, where the data goes, how the information is stored, and what protections are actually in place.
Associations should consider having an AI policy
One of the most practical takeaways from the conversation was the idea that associations should consider adopting an AI policy.
That does not mean every community needs an elaborate technical manual. But boards and managers should be on the same page about what AI may be used for, what should never be entered into it, when professional review is required, and whether certain uses need prior discussion or approval.
Even a modest policy could help prevent one person from unilaterally inputting sensitive information, relying on AI for legal interpretation, or creating unnecessary exposure without the rest of the association understanding the risk.
Ironically, AI itself may be helpful in drafting the first version of such a policy. But, true to the theme of the program, the final version should still be reviewed by the right humans.
The real lesson: use AI to assist thinking, not replace it
The most balanced conclusion from the discussion was that AI is neither magic nor poison.
It can be extremely helpful for rough drafts, summaries, checklists, organization, and tone improvement. It can save time and reduce friction in the day-to-day work of managers and boards. For those uses, it may become one of the most practical tools associations have.
But it is not a substitute for professional judgment. It should not be the final word on legal meaning, insurance implications, contract drafting, fiduciary decisions, or confidential matters. Used carelessly, it can create exactly the kind of liability that users were hoping to avoid.
For community associations, that means the safest and smartest approach is also the most disciplined one: let AI help with the work, but never let it take over the responsibility.
This content does not constitute professional advice.
Panel:
Cameron Leyh, CMCA, AMS • Ravenel Associates, Inc. • cleyh@ravenelassociates.com • www.ravenelassociates.com
Raymond Dickey • AssociationHelpNow.com
Dawn Becker-Durnin, CIRMS • Acrisure • dbecker-durnin@acrisure.com • www.HOAInsuranceSC.com
Valerie Garcia Giovanoli, Esq. • McCabe, Trotter & Beverly, P.C. • valerie.giovanoli@mccabetrotter.com • www.mccabetrotter.com
AI-Generated Article Notice
This article was generated with the assistance of artificial intelligence using a transcript from a livestream discussion. The purpose of the AI tool was to summarize and organize the conversation into readable written form.
The panelists who participated in the livestream have not reviewed, edited, or approved this article, and the content should not be interpreted as direct quotations or precise representations of any individual panelist’s statements.
Because AI tools can occasionally summarize or interpret information imperfectly, readers are encouraged to review the original video recording for the full discussion and context.
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Full livestream video at: https://lnkd.in/eE9juTba
PodCast: https://lnkd.in/eDwFtE6E
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