This is the second part of a three-part expert insight series on the recent Amplify Local Connect events held by Wolters Kluwer ELM Solutions for legal operations professionals in Toronto, New York, and Chicago.
One of the themes that surfaced again and again throughout the Amplify Local Connect events was recognition that a significant obstacle to AI success in legal operations is data, and the governance that sits behind it.
One moment captured this perfectly. During a session on AI readiness, we asked a simple question: How many of you feel your data is in good shape?
Not a single hand went up.
That wasn't a knock on the teams in the room. It was an honest read on reality. As organizations explore AI, they're finding a key limiting factor is whether their data, processes, and governance are strong enough. One attendee candidly shared that, without the budget to address their organization’s inconsistent data quality, they aren’t prepared to add AI to their departmental workflows, hindering progress.
Why AI conversations quickly become data conversations
Here's a pattern I watched play out at every event: Teams arrived eager to talk about AI assistants, automation, and agentic workflows. Within minutes, the conversation shifted. Suddenly, people were asking:
- Where does our data actually live?
- Is it structured and complete?
- Can we trust it?
- How do we make it more consistent?
A simple framework emerged from these discussions:
Data → Process → AI
The logic is straightforward. AI can only interpret the information you feed it. If your data is incomplete, inconsistent, or scattered across disconnected systems, even the most sophisticated tools will struggle to give you anything useful.
Think of it like building a house. You can pick the most impressive fixtures on the market, but if the foundation is cracked, none of it holds. Many legal departments are realizing that AI readiness is a measure of operational readiness.
Why data governance matters more than you think
Data quality is half the story, but the deeper challenge is governance. Throughout the sessions, participants raised questions that weren't really about AI at all. They were governance questions in disguise.
For example:
- If someone asks AI for a legal spend report, will they understand what's included, and what isn't?
- How should permissions work in an AI-driven environment?
- What data is required for AI to deliver reliable answers?
- What guardrails should govern outside counsel's use of AI?
- How do we keep things consistent across departments and business units?
These questions get sharper as AI lowers the barrier to information. Generating a report used to require specialized knowledge and several steps. Natural language interfaces have changed that overnight. Now a much larger group of people can ask a question and get an instant answer. The question is no longer just whether people can access information - it's whether they understand the context behind it.
Good governance provides that context. It establishes:
- Clear ownership
- Standardized definitions
- Consistent processes
- Appropriate access controls
- Confidence in the outputs you generate
Without governance, even accurate information gets misread.
Governance is a competitive advantage in legal ops
For years, teams treated governance as a compliance exercise. That mindset is shifting fast. At Amplify Local Connect, governance kept surfacing as a strategic capability instead. Organizations with strong governance frameworks are better positioned to:
- Scale AI adoption
- Speed up decision-making
- Build user trust
- Enable automation
- Create consistency across legal operations
Most importantly, governance builds confidence. People embrace AI when they understand where the data comes from, how outputs are generated, what assumptions are baked in, and whether the results hold up. As AI becomes part of daily legal work, trust turns into one of the biggest drivers of adoption.
AI readiness is governance readiness
The excitement around AI in legal operations is well earned. The opportunities are real, and the pace of innovation keeps accelerating. But successful adoption depends on data, process, and, ultimately, governance. Before you can scale AI, you need confidence in the information, standards, and structures that power it.
Because when AI can answer any question in seconds, the most important question becomes: How confident are you in the answer?
Read the first blog in this series, AI in legal ops: Why execution is the real challenge, and watch for part 3. We’ll continue this conversation at our 2026 ELM Amplify conference in November in Scottsdale, AZ. Join us!