AI tools are already entering financial and legal work. Teams use them for research, drafting, summarising, reporting and knowledge tasks. In many organisations this starts informally before policy, training or data-handling rules are clear.
The practical question is not whether people will use AI. The question is whether the organisation can make that usage safe, useful and accountable before it scales.
Start by mapping current use
Before selecting tools or writing a long policy, identify where AI is already being used. Which teams are experimenting? What data is being entered? Which tasks are low-risk and which require professional review?
Separate opportunity from exposure
Some workflows are suitable for a contained pilot. Others involve sensitive client information, privileged material, regulated advice or decisions that need clear human accountability. These should not be treated the same way.
Define review and ownership
Financial and legal teams need clear rules for who owns the output, when a human must review it, what records should be kept and what information must never be entered into third-party tools.
Choose one safe first pilot
The best starting point is narrow and measurable. Choose one workflow, limit the data, define the success metric and decide what will happen at the end of the test.
Use the checklist
Union Black has prepared a neutral readiness checklist for financial and legal teams. Use it against one specific workflow before committing budget, time or operational change.