Governance is often associated with limitations: restricting who can access information, controlling how it can be used, setting boundaries around where it can go, and deciding how long it should be kept.
But those same controls can also create confidence. If you know sensitive information is appropriately protected, access is properly managed and outdated content isn’t hanging around indefinitely, you can be much more confident about putting that information to work.
AI makes that opportunity particularly interesting for law firms working with sensitive information every day. When lawyers have confidence in the quality and security of the information AI is working with, they are better positioned to use its capabilities in meaningful, productive ways.
In other words, good governance isn’t there to hold AI back. It’s a critical enabler, giving firms the confidence to take it further.
Old problems, new consequences
We’re all familiar by now with the information risks associated with AI. But the reality is that many of the underlying vulnerabilities aren’t new.
Over-permissioned content, poor retention, inconsistent metadata, duplicate information, unclear ownership and information silos were already creating risk – and making information harder to find, trust and reuse – long before AI entered the picture.
What AI does is make those existing weaknesses much more likely to cause problems – and potentially magnify the consequences when they do. Content that was technically accessible but difficult to stumble across can become much easier to discover. Outdated or duplicated information can influence AI-generated responses. Missing context can affect relevance, while unclear ownership makes remediation harder when problems are identified.
For law firms, the consequences can be particularly significant. Client confidentiality, professional responsibility and defensibility all come into play when information can be surfaced and used in new ways.
Content that is current, correctly classified, permission-aware and connected to the matter it belongs to does more than reduce AI risk. It improves search and knowledge discovery, while creating the conditions for more relevant, trustworthy and useful AI results.
Scale AI at the pace your governance can support
Experimenting with AI in a controlled environment is one thing. Embedding it into everyday work across the firm is another.
Firms don’t need to solve every information problem before they begin exploring AI. But before access and reliance expand, they need to understand where the most consequential governance gaps lie and address those that could most affect risk, trust and value.
The priorities will differ from firm to firm. For some, over-permissioned sensitive information may be the most pressing issue. For others, it could be metadata quality, excessive retention or unclear ownership.
The roadmap should reflect that starting point, balancing business priorities, legal and client risk, existing controls, user adoption and the firm’s plans for AI. Governance can then continue to mature as those plans – and the firm’s use of AI – evolve.
Making governance work in practice
Effective governance relies on two things working together: technology that puts appropriate controls around information, and people who understand and follow the processes needed to work safely within those boundaries.
Technology
For firms working within Microsoft 365, Microsoft Purview provides a comprehensive set of tools for managing, protecting and governing information.
That starts with understanding the information estate: what information does the firm hold, where does sensitive content live, who can access it and how is it protected? Purview’s information discovery, classification and sensitivity labelling capabilities help build that picture, while Data Loss Prevention (DLP) can help prevent sensitive information from being shared or used inappropriately.
Lifecycle controls help firms manage how long information is kept and what happens to it over time. Data Lifecycle Management supports retention and disposal, while Audit and eDiscovery provide visibility and defensibility around how information has been accessed and used.
Purview also extends specifically into AI. Data Security Posture Management (DSPM) for AI helps firms identify and assess data security risks associated with AI use, while Compliance Manager provides a broader view of compliance posture and areas for improvement.
For firms expanding their use of Copilot and other AI capabilities, these tools can provide greater visibility into AI-related data risks and help firms apply appropriate information protection and governance controls.
People and processes
Technology sets the boundaries, but people still need to work within them.
That means establishing clear responsibilities around who owns information, who makes decisions about access, classification and retention, and who acts when something needs to be reviewed or remediated.
Good governance also needs to be reflected in everyday legal processes. Matter creation, metadata capture, document and email filing, knowledge capture and matter closure all rely on people making – or following – the right information-management decisions at the right time.
Those processes need to be practical. If they create unnecessary friction, they’re less likely to be followed consistently, so training and user experience have an important role in keeping information inside the firm’s governance boundaries.
Finally, reporting and regular review give the firm a way to see whether the model is working: where policies are being followed, where exceptions or gaps are emerging and where controls or processes need to change. Ongoing engagement with information owners and other stakeholders helps ensure those changes reflect what is actually happening across the firm.
Creating room to innovate
The payoff from stronger governance isn’t simply lower risk. It’s greater freedom to innovate because the firm can place greater trust in the information and controls underpinning its AI.
For firms that recognise the opportunity but need help turning governance into a sustainable operating model, Cloud Essentials’ Data Governance as a Service provides a practical route forward. It brings together a governance panel, Microsoft Purview deployment, roadmap development and reporting, alongside the ongoing people, process and technology change needed to make good governance stick.
If you’re looking to strengthen your governance foundations ahead of broader AI adoption, get in touch.
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