Legal work runs on trust, and few technologies have tested that trust as quickly as generative AI. Drafting assistants, meeting summarizers, and research chatbots can enter a practice before firm policy has caught up, sometimes through a subscription charge or a browser extension rather than a deliberate decision. For managing partners, a central concern is whether anyone can say with certainty where client information goes once it has been pasted into a prompt.
Professional guidance on the subject has been fairly consistent. In 2024, the American Bar Association released Formal Opinion 512, which explains that lawyers who use generative AI remain bound by their duties of competence, confidentiality, communication, and reasonable fees. In practical terms, a tool is not considered safe simply because it is popular, and a lawyer is expected to understand what a product does with the information it receives. Consumer-grade accounts, in particular, may retain prompts or use them to improve models unless settings or contracts state otherwise, and that distinction can be overlooked by someone typing in a hurry at the end of a long day.
Why Legal Practices Face a Double Exposure
Law firms hold settlement terms, merger plans, medical records, and identity documents, making them attractive targets for attackers. The risks described in Law Firm Data Breaches Are Accelerating: What Legal Practices Should Do Now have not gone away, and the arrival of AI tools has added a second path through which sensitive material can leave the firm. Documents uploaded to an unmanaged service may be copied outside the retention schedules, litigation holds, and access controls that the firm has carefully built, and those copies can be forgotten until a problem surfaces.
Convenience can contribute to this exposure even when staff are acting in good faith. A paralegal who is asked to summarize a four-hundred-page deposition may reach for the fastest tool available, and the habit can form before leadership has reviewed the service. The general principles discussed in What Information Should Employees Never Put Into an AI Tool? apply with even greater force in a legal setting, where a single pasted paragraph may be covered by privilege, a protective order, or a client's contractual restrictions.
Building a Practical Approach to AI
A workable policy generally begins with a decision about which tools are approved, followed by a review of the agreements that govern them. Business-tier products that commit not to train on customer data, that offer administrative controls, and that keep records of use are usually preferred over free personal accounts. Those features should be verified for the specific product and contract, not assumed from a business-tier label. Sign-in to those tools should be protected with multi-factor authentication, and data loss prevention rules can help block documents carrying certain markings from being uploaded to unapproved sites. These technical controls should be paired with a written policy short enough to be read in a single sitting, since a forty-page document is seldom remembered when a deadline is approaching.
Training and client communication are also essential. Staff benefit from realistic examples drawn from their own work, and firms should review engagement letters and determine when client communication or informed consent is required for a proposed AI use. Strong policies make the safe option the easy option, rather than simply prohibiting everything. Attorneys will continue to look for ways to work faster, and a firm that offers an approved, well-protected path is better positioned to keep its confidential information where it belongs. A conversation with ComSolutions can be a useful first step for any practice that wants to understand its current exposure.
