From AI Risk to Readiness: Establishing Guardrails to Promote Growth for Law Firms

AI is already used by your firm. In many practices, attorneys and staff are using AI every day, sometimes without a formal decision to adopt it. That’s not a reason to panic, it’s a chance to lead with clear guardrails that protect privilege and reputation while enabling real efficiency.

Where AI is Showing Up Now

AI is showing up across four layers. First, explicit tools: Westlaw AI, Lexis+ AI, CoCounsel from Thomson Reuters, Harvey, and contract review tools such as Luminance or Ironclad. Second, adjacent workflows: eDiscovery platforms like Relativity and Nuix have long used analytics and technology assisted review, and teams are testing AI assisted deposition summaries. Third, ambient assistants: Grammarly, Otter or Teams transcription, Microsoft Copilot inside Word and Outlook, and AI features in iManage or NetDocuments. Fourth, the LLM layer: ad hoc use of ChatGPT or Claude for summarization, drafting and matter prep, sometimes on personal accounts.

The practical first step is visibility. Inventory what is in use, by whom, and on which matters.

Hallucination and Professional Responsibility

The Mata v. Avianca case in 2023 made the issue vivid when a lawyer submitted fabricated citations and was sanctioned. The takeaway is not that AI is forbidden. It is that competence and candor to the tribunal cannot be delegated. The core failure is unverified reliance. Good governance makes verification standard practice: require human review for any client or court facing work, run citation and source checks, log prompts and outputs with model versions, and disclose when a court or client requires it. If it is not verified, it does not go out.

Confidentiality at the Intake Stage

Pasting a client memo into a consumer chatbot can amount to sharing confidential or privileged material with a third party. Enterprise offerings and private deployments often have stronger data protections than consumer tools, but the risk remains. Keep the DMS as the system of record, control what leaves it, and classify before you paste. Use firm-approved private environments for any client related prompts and redact or anonymize by default. Address privilege and waiver risk in policy and training. Align your engagement letters and outside counsel guidelines with your AI policy, because some clients are now asking for disclosure or consent.

Shadow AI and the Partner Dynamic

Equity and senior partners often drive the highest impact use cases and can be skeptical of new controls. Governance gains credibility when partners co-author the policy, when insurers ask about AI controls, and when clients signal expectations. Choose pragmatic approvals at the practice group level over blanket bans, and offer a safe harbor to bring shadow use into the light. Make the compliant path the fastest path.

Lessons from eDiscovery

Legal already knows how to build defensible AI processes. Technology assisted review earned court acceptance because teams documented validation protocols, measured performance, and kept audit trails. Apply the same playbook to generative AI. Define test sets and acceptance criteria, pilot and iterate, log prompts and outputs with model versions, and document the process so it can be explained to courts and clients. As vendors add generative AI into eDiscovery, extend these controls across the workflow.

Risks Firms Underweight

Firms often underweight three quiet risks: bias, intellectual property, and vendor terms. Models trained on historical outcomes can reproduce disparities, so flag high‑impact use cases and keep experienced lawyers in the loop. Purely AI‑generated content is generally not copyrightable, and hybrid human-plus-AI work raises ownership questions, so spell out rights in engagement terms and tighten vendor contracts for licensing and indemnity. Many AI features are embedded in tools you already use, which means the vendor’s AI terms control data handling. Review retention, training on customer data, sub‑processors, logging, and audit rights, and align them with client outside counsel guidelines.

ISO 42001 as Structured Assurance

Much like ISO 27001 for security and 27701 for privacy, ISO 42001 provides a similar management system to help organizations use AI responsibly. It requires policies, roles, objectives, risk assessments, controls, and audits tailored to AI. Many firms can layer 42001 on top of existing programs to signal governed AI use to clients and to create a repeatable improvement cycle. Verify current certification options and timelines before you commit.

The Road Ahead

Tools are moving from assistive to more action-oriented systems, which raises the bar for oversight. Regulatory activity and insurer scrutiny are increasing. The single most important step now is visibility and a verification culture. If you can answer what AI is used in your firm, by whom, and on which matters, you can set guardrails that enable growth with confidence.

Practical Next Steps

• Inventory your current AI use and understand the risk of each use case.
• Publish an acceptable‑use checklist and train teams on it.
• Update your Third-Party Risk Management Program to address AI Risk.
• Consider formalizing your AI Risk Management program around ISO 42001.

At CBIZ, we help law firms assess their AI landscape, prioritize risks, and design a governance plan tailored to their firm’s priorities.

Ready to turn AI from shadow use into strategic advantage? Connect with a CBIZ professional to get started.