Data & AI for the Legal CFO: How to Deliver Value & A Practical Roadmap
In the previous post, we looked at what intelligent, automated finance looks like in practice. The question is, how do you actually get there?
For most legal CFOs, this isn’t about launching a large-scale transformation programme from day one. It’s about taking a focused, practical approach: starting with the right foundations, proving value early, and building from there.
Start with a Strong Data Foundation
Everything discussed in this series relies on one core principle: trusted, connected data. Most firms will already recognise this as a prerequisite; the focus here is how to build on it and start delivering value. From there, the priority is bringing data analytics and AI together in a way that works in practice. Rather than treating these as separate initiatives, the aim is to create a joined-up platform where insight, reporting and automation all build on the same foundation.
Prioritise High-Impact Use Cases
One of the most common mistakes is trying to do everything at once. A more effective approach is to focus on a small number of high-impact use cases where value can be delivered quickly. In legal finance, there are a few areas that consistently stand out.
Reconciliation
Today, reconciliation is typically manual, time-consuming, and prone to delays. Finance teams gather data from multiple sources, match it point-by-point, and resolve issues late in the process. A more automated approach changes this. Data is brought together upfront, matching happens automatically, and finance focuses on assessing exceptions rather than rebuilding the process from scratch.
Accounts Payable
In many firms, accounts payable remains a largely manual process, with invoices handled and approved through disconnected, often email-led workflows. By introducing automation, invoices can be gathered, authorised, and sent through approval workflows more consistently. Controls become rooted in the process, visibility improves, and exception handling becomes more structured.
Financial Planning & Analysis
Planning and forecasting is another area where the impact is clear. Many legal firms still rely on planning processes built around spreadsheets, with reduced visibility and a heavy reliance on manual updates.
A more integrated approach enables:
- Forecasting based on live, connected data
- Scenario modelling aligned to business drivers
- Improved governance and version control
This allows finance to move away from fixed forecasts and towards a more dynamic, forward-looking view of performance.
Improve Visibility, Accuracy and Speed of Decision-Making
These use cases are not just about efficiency, they change how finance supports the business.
With the right data and processes in place, finance can:
- Get quicker access to consistent, up-to-date information
- Reduce the time spent investigating performance issues
- Improve the accuracy of forecasts and reporting
- Respond to issues earlier, while there is still time to act
This is where the shift to decision intelligence becomes tangible, not as a concept, but as a set of capabilities that directly improve how decisions are made.
Build a Roadmap That Delivers Value Early
Finance transformation doesn’t need to be delivered as one large programme. In practice, what works better is an iterative approach.
Start with:
- A clear vision of where you want to get to
- A small set of targeted use cases
- The foundations needed to support them
Then build from there.
Rather than waiting until everything is in place, organisations can start delivering value early, and expand over time. This might include rolling out specific finance processes first (such as reconciliation or AP), while continuing to develop the wider data and AI platform in parallel.
Putting the Right Operating Model in Place
Technology alone isn’t enough to deliver this change. There also needs to be a clear operating model to support it.
From what we see working in practice, a few things matter:
- Executive sponsorship: typically driven by the CFO
- Business ownership: led by finance, not treated as an IT project
- Clear governance: around data, AI usage, and decision-making
- Defined roles and capabilities: covering data, analytics, and business engagement
This ensures that solutions don’t remain as pilots, but can be scaled and embedded into day-to-day operations.
Evolving the Roadmap into Transformation
Over time, these elements come together into a broader roadmap. Early stages tend to focus on:
- Establishing the data foundation
- Integrating core systems
- Delivering initial dashboards and insight
From there, organisations can start to build towards:
- Predictive analytics and planning
- Data-driven decision-making
- Automated workflows across finance processes
The key point is that this doesn’t happen in a single step. It evolves over time, building on each stage as capability matures.
Conclusion
For legal CFOs there are some clear opportunities, but also some clear challenges. Delivering value from Data & AI isn’t about adopting new technology in isolation, it’s about bringing together data, processes, and people in a way that allows finance to operate differently. The firms that get this right don’t try to solve everything upfront. They start with the fundamentals, focus on where value can be delivered quickly, and build from there. That’s what turns strategy into something practical, and what ultimately enables finance to move from reporting performance to helping shape it.
Want to see what this looks like in practice for your organisation? Schedule a tailored demo with our team →