Legal wants to launch an information governance initiative. IT hears about it and pushes back: “We already have a data governance project underway. Isn’t this redundant?” At the same time, new AI initiatives are raising urgent questions about governance, data quality, privacy, retention, security, and defensible use. So which discipline applies — data governance, information governance, records management, or all of the above?

Although data governance and information governance are often used interchangeably, they are distinct disciplines with different goals, stakeholders, and methods. When designed correctly, however, they can work together and reinforce one another.

In this plainspoken legal update, Tom Mighell, Esq. and Mark Diamond of Contoural explain the differences between data governance, information governance, and records management and discuss how legal, IT, compliance, privacy, security, and business teams can design complementary programs that support each other rather than compete.

Topics include:

· The fundamentals of information governance and data governance programs

· Why applying the wrong governance model can create confusion, stalled initiatives, and inefficiency

· Why information governance is essential to effective AI governance

· How records management fits into data governance, information governance, and AI readiness

· What data loss prevention, machine learning, and AI-enabled tools can and cannot do

· How key stakeholders can collaborate on coordinated, practical governance programs

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