AI for In-House Legal Teams: What Should In-House Counsel Keep in Mind with the Adoption of AI?

This update is part of our AI FAQ Series. Learn more at our AI Law Center.

1. As an in-house counsel, should I consider using AI to be more efficient in my work?

In-house counsel should consider using AI for improved accuracy in work product, refining company policies, optimizing workflows, managing contracts and staying current with regulatory changes. However, transparency with clients, safeguarding confidential information, protecting privileged information, cross-border data transfer issues, contractual obligations and ensuring compliance with ethical standards are essential when integrating AI into legal practices.

Counsel should carefully evaluate the benefits, implement AI tools, and implement an approach that prioritizes client trust and business objectives. Counsel is responsible for protecting client confidentiality and maintaining privilege – and uploading data to an AI platform, tool or technology could constitute a waiver. Consulting with AI vendors to understand the sharing and use of information and establishing robust safeguards are also crucial to protect client confidentiality and maintain privilege.

2. What can the legal department be doing now with AI?

Legal departments can start using AI to enhance productivity, streamline workflows and improve decision‑making. AI tools can assist with tasks like legal research, contract drafting and review, and e‑discovery. While adopting AI, it’s important to stay informed about the technology, embrace new methodologies, and address concerns about reliability and ethical considerations, such as confidentiality. As AI reshapes the legal field, legal departments should strategically integrate these technologies, recognizing their role in evolving the practice of law.

3. What trade associations should I consider joining?

Joining trade associations can provide networking opportunities, resources and advocacy support, which may be especially helpful in the rapidly developing AI industry.

Some example associations include:

• AI-specific associations: The Association for the Advancement of Artificial Intelligence (AAAI) or the AI Alliance.
• Industry-specific groups: If your AI tool targets a specific industry, join relevant associations, such as the Healthcare Information and Management Systems Society (HIMSS) for healthtech, or the Financial Data and Technology Association (FDATA) for fintech.
• Data privacy organizations: Consider joining the International Association of Privacy Professionals (IAPP) or the Future of Privacy Forum (FPF) for resources on privacy compliance for AI.