When it comes to Artificial Intelligence in the legal profession, it’s no longer “if” but “how.” Corporate legal teams across the Gulf South and Midwest feel the dynamic tension to enable AI’s business value while maintaining ethical guardrails. Ultimately, in-house counsel can efficiently use AI within the ethical bounds of the profession, with controls that protect confidentiality, privilege, and organizational resilience. Experienced cyber and technology lawyers stay abreast of the evolving regulatory and technological landscape to help in-house teams navigate complex, AI-enabled matters.
Risks In-House Counsel Must Manage
The most common risk points for companies include biased hiring tools, privacy and data misuse, hallucinated content, IP infringement and ownership confusion, operational dependence, and lack of documented AI governance. Each of these areas can trigger enforcement exposure. For lawyers, pitfalls include blind reliance on plausible-sounding outputs (especially citations and procedural standards), failing to promptly correct errors, and the ethical responsibility that comes with signing filings after reasonable inquiry and review.
Governance Guardrails That Work
Start with practical governance. A defensible model anchored in the NIST AI Risk Management Framework focuses on:
- Govern (policies, roles, accountability)
- Map (inventory AI uses and contexts)
- Measure (assess risks including bias, privacy, reliability)
- Manage (mitigation, monitoring, incident response)
Complement governance with policy-level rules: prohibit confidential data in unapproved tools, require human verification, and mandate legal approval for high‑risk AI. To identify what is considered high‑risk, evaluate when an AI system plays a role in decisions that can change someone’s job, money, housing, benefits, safety, or legal rights.
Vendor Diligence and Contract Controls
Vendor oversight should extend beyond a security questionnaire. Conduct or require reasonable additional due diligence focused on how the vendor receives, stores, uses, retains, and deletes information before allowing confidential client information to be processed. Strengthen contracts with provisions that reserve ownership of generative outputs, require lawful training data sources, and include indemnity for IP infringement arising from AI outputs.
Confidentiality, Privilege, and Candor: Core Ethical Duties
Significantly, AI does not relieve lawyers of professional duties. Rules commonly implicated include competence (with technological competence), confidentiality of information, candor toward the tribunal, and supervision of lawyers and nonlawyers. ABA Formal Opinion 512 emphasizes supervisory responsibilities for AI‑assisted work; lawyers remain accountable for the results and must ensure appropriate safeguards are in place.
Bias and Fairness Controls: Build, Test, and Monitor
Even when vendors assert that protected characteristics are excluded, counsel should focus on outcomes. Practical bias control includes:
- Pre‑deployment testing;
- Post‑deployment monitoring;
- Investigating complaints;
- Periodic re‑testing; and
- Documenting mitigation steps.
Incident Response and Disclosure: Be Ready Before You Need It
When an AI issue arises, stop using the output and preserve what happened; escalate immediately rather than quietly attempting to fix it. Identify the tool, prompt, data used, output, and where the output went. Assess implications for confidentiality, privilege, client notice, court correction, and insurer/client guidelines; promptly correct the record if filings, advice, or communications are affected. On the disclosure front, keep an eye out for triggers such as:
- AI used in customer interactions
- AI used in hiring
- AI‑generated content posted publicly
- AI‑generated voice or likeness
- AI used in regulated decision‑making
Regulators expect truthful statements about AI capabilities, and scrutiny is increasing in areas such as employment, insurance underwriting, and consumer profiling.
Practical Next Steps for Legal Departments
A concise action plan for corporate counsel:
- Inventory AI tools across the enterprise
- Approve and implement an AI policy
- Update vendor templates and playbooks
- Enforce human verification for legally significant outputs
- Train teams on duties, controls, and incident response.
For in-house counsel in the Gulf South and Midwest, ethical AI is a governance problem you can solve: define guardrails, supervise diligently, and document controls. With a balanced, ethics‑first approach, legal teams can enable innovation while meeting professional obligations.
Disclaimer: This material is provided for informational purposes only. It is not intended to constitute legal advice, nor does it create a client-lawyer relationship between Galloway and any recipient. Recipients should consult with counsel before taking any action based on the information contained within this material. This material may be considered attorney advertising in some jurisdictions.
