AI governance for law firms: Moving from experimentation to enterprise control
Description
ILTA Masterclass:
AI adoption inside law firms is accelerating — often faster than policy, oversight, or technical control frameworks can keep pace. Individual practice groups are testing tools, lawyers are uploading content into public models, and AI features are being embedded into existing platforms.
The risk exposure is real, but so is the opportunity. This session examines how CIOs can move the firm from fragmented AI experimentation to structured enterprise control through information governance.
We will explore:
- The operational and reputational risks of shadow AI
- Data leakage pathways into large language models
- Intellectual property and client confidentiality exposure
- Model training risks, bias, and regulatory scrutiny • Establishing governance checkpoints across the AI lifecycle
- Creating enforceable AI usage standards without slowing innovation
The session will provide a practical governance framework that enables responsible AI scaling while maintaining control over firm data assets.
This is the second webinar in a 5 part series that explores how information governance provides the structure CIOs need to manage growing data volumes, reduce risk exposure, and support innovation across the firm.
To find information on the other sessions, click here: