The latest news cycle offers a useful operating lesson for firm leaders. AI is becoming embedded in legal work, firms are still vulnerable to internal control failures, and changing tax policy can quickly create new client demand. For law and accounting firms, the practical question is no longer whether to use AI, but which workflows to automate, which to review, and which to keep under human control.
AI is moving from experiment to everyday use in legal work
A recent survey reported that a meaningful share of large-firm lawyers now say they are dependent on AI, with many others using it daily or multiple times per week. The most common uses were drafting, legal research, and document review.
For firm leaders, that matters because it shows where custom AI can already fit into production workflows. The strongest use cases are the ones with repeatable inputs and clear review steps, especially when the firm needs speed without losing control over quality or source verification.
Why internal controls still matter even when software is in place
A separate headline about a former bookkeeper at a Hartford law firm is a reminder that software alone does not stop fraud. In that case, bookkeeping software was allegedly used to generate fake checks and doctored entries over time.
That kind of story is exactly why firms should think about AI as part of a control system, not just a productivity tool. Agentic workflows can help flag unusual payment patterns, compare entries against vendor records, route exceptions for review, and keep audit trails cleaner for partners and administrators.
Tax and payroll change create demand for structured client workflows
Colorado voters are set to decide on a graduated income tax proposal that would change how higher earners are taxed if approved. Events like this create immediate demand for client communications, planning updates, scenario modeling, and review of related filings and estimates.
At the same time, job openings data suggests labor demand remains steady but subdued. That combination means firms may need to do more with the same team. Automation can support intake, document collection, status updates, and first-pass analysis so professionals spend more time on advice and less on chasing routine information.
What a practical AI strategy looks like for law and accounting firms
The news points toward a simple strategy: use AI where the work is repetitive, document-heavy, and reviewable; keep humans in charge of judgment, client advice, and exceptions. That includes drafting support, research summaries, document review, payment controls, and intake workflows.
Firms that build custom AI around their own process, data, and review standards are better positioned than firms that rely on generic chat tools. The goal is not to replace staff, but to create a workflow that is faster, more consistent, and easier to supervise.
- Start with one workflow that has clear inputs, outputs, and review points.
- Use AI to support controls, not just to draft faster.
- Build systems that surface exceptions for human review.
- Treat changing tax policy and labor conditions as triggers for client-facing automation.
Sources watched
- Big Change for Colorado Income Tax Makes Ballot (CPA Practice Advisor AI)
- 15% of Large Firm Lawyers ‘Now Dependent on AI' (Artificial Lawyer)
- 'We Use AI, But We Pass on the Savings' – Kyra Law (Artificial Lawyer)
