Excitement Alone Is Not a Strategy
Over the past few years, I have watched AI move from curiosity to daily conversation inside the legal profession. Every week there seems to be a new platform, a new feature, or another promise that this tool will change everything.
I understand the excitement because I share it. AI has the potential to make legal work more efficient, reduce repetitive tasks, and give lawyers more time to focus on the work that truly lovet.
At the same time, I have learned that excitement is not a strategy.
If you ask me where to begin, I would start with leadership, what is your budget, and what are the policies you have in place for using AI?
What rules do you already have for using AI?
The later is very important. Before we focus on better tools, we need to build the governance.
Governance Is About Confidence, Not Control
Governance sounds restrictive. It sounds like another policy that will slow adoption of AI.
That is not how I see it.
Good governance creates confidence. It helps people understand what they can do instead of making them worry about what they should avoid.
Without clear expectations, lawyers are left making individual decisions about sensitive technology. One person in the firm might upload confidential information into a public AI tool without realizing the risks. Another might refuse to use AI altogether because they are unsure what is permitted.
Neither situation is ideal.
Good governance removes uncertainty. It gives people a framework for making thoughtful decisions.
Every Firm Has Different Risks
One thing I have learned is that there is no universal AI policy that works for every law firm.
A boutique litigation practice will have different concerns than an in-house legal department. A firm handling highly sensitive governmentaly matters will face different challenges than one focused on commercial contracts.
That is why governance cannot simply be copied from another organization.
It has to reflect the firm’s clients, practice areas, regulatory obligations, and risk tolerance.
I sometimes think governance is less about writing rules and more about asking better questions.
What information should never leave our systems?
Does the AI tool train on our data? What is the data retention policy for the AI tool?
Who is responsible for approving new technology?
How do we monitor whether these tools are being used appropriately?
Those conversations matter just as much as the technology itself.
Clear Rules Create Better Adoption
What I notice is that governance often increases AI adoption rather than slowing it down.
People hesitate when they are uncertain.
If lawyers are unsure whether they can use AI for legal research, document summaries, or drafting first versions, many will simply avoid it.
That hesitation is understandable. Lawyers are trained to manage risk. There are many cases now of courts sanctioning lawyers for their use of AI.
When firms provide practical guidance, confidence grows.
People know which tools have been approved. They understand where human review is required. They know what information can and cannot be entered into a system.
Instead of guessing, they can focus on doing good work.
That clarity benefits everyone.
Governance Should Support Innovation
There is always a balance to strike.
If governance becomes too restrictive, innovation slows. Lawyers stop experimenting because every new idea feels like another approval process.
If governance is too loose, inconsistency takes over. Different teams develop different practices, creating unnecessary risk and confusion.
Finding the right balance is not always easy.
I often ask myself whether a policy encourages thoughtful experimentation or unintentionally discourages it.
The best governance creates room to learn.
It establishes boundaries while recognizing that technology will continue to evolve. Policies should support responsible innovation, not prevent it.
Human Judgment Remains at the Center
One concern I occasionally hear is that governance somehow shifts responsibility onto technology.
I see the opposite.
Governance reinforces that lawyers remain responsible for their work.
AI can assist with drafting. It can organize information. It can identify patterns.
It cannot exercise professional judgment.
That distinction needs to remain clear.
Clients trust lawyers because they know someone is accountable for the advice they receive. AI does not replace that relationship.
Good governance reminds everyone that technology supports professional expertise. It does not replace it.
Training Matters as Much as Policy
A written policy sitting in a folder does very little on its own.
People need to understand it.
I believe education is one of the most overlooked parts of AI governance. Lawyers should know why certain rules exist, not just what those rules are.
When people understand the reasoning behind a policy, they are more likely to follow it.
Training also creates opportunities for discussion.
Someone might ask whether a new AI feature changes existing guidance. Another person may identify a workflow that no longer makes sense.
Those conversations improve governance over time.
Policies should not be static documents. They should evolve alongside both technology and experience.
Trust Is Built Internally Before It Is Built Externally
We often talk about building client trust around AI.
That is important.
But I think trust begins inside the organization first.
Do lawyers trust the approved tools?
Do they understand the review process?
Do they believe leadership has thoughtfully evaluated the technology?
If the answer is yes, they are far more likely to use AI confidently and explain that confidence to clients.
Internal trust creates external trust.
Clients can sense when a firm has a clear, consistent approach instead of making decisions as it goes.
That consistency strengthens relationships.
Governance Is Never Finished
One lesson I continue to learn is that governance is not a project with an end date.
Every new model, every regulatory development, and every client expectation creates another opportunity to revisit existing practices.
That can feel overwhelming at first.
Then I remind myself that the legal profession has always adapted. We have navigated changes in communication, research, document management, and countless other technologies.
AI is another chapter in that ongoing evolution.
The difference is that the pace feels faster.
That makes governance even more valuable because it provides stability while everything else continues to change.
Building the Right Foundation
When people ask me what separates successful AI transformation from disappointing AI implementation, I rarely point to a specific platform.
I think about foundations.
The firms that succeed are usually the ones that have taken the time to define expectations before introducing new technology. They know who makes decisions. They understand how risk is managed. They invest in education alongside implementation.
Those steps may not feel as exciting as launching a new AI tool.
They are also the steps that make long term success possible.
For me, governance is not about slowing innovation. It is about creating the conditions where innovation can happen responsibly, consistently, and with confidence. Better tools will continue to arrive. The firms that benefit most will be the ones that have already built the rules, habits, and culture needed to use them well.