The End of Billable Hours?

AI is challenging the historic business model of Legal and Accounting Firms

As AI reduces the time required for routine work, time-based billing struggles to justify value.

Prominent legal and accounting firms in the United States and Europe are already rethinking their billing strategies as the time efficiencies inherent in AI deployment become widely known, especially among their larger clients.

Tasks that once consumed tens of billable hours can now take one. The question is not whether AI will change the historic business models of these organisations, but how they will respond to that change.

In the legal context, and beyond research and document assembly, AI now supports contract review, e-discovery triage, due-diligence synthesis and matter scoping, accelerating first drafts while keeping lawyers in the loop. These systems can scan thousands of pages in seconds, identify relevant precedents, summarise case law, and even draft first versions of pleadings or contracts.

In finance functions, AI is embedded in accounts payable, reconciliation, anomaly detection, forecasting and scenario planning.

Globally, finance teams using AI rose from 34% to 72% as of mid-2025, with generative AI expanding into forecasting and scenario analysis, making financial planning faster and more proactive

International law firms such as Allen & Overy and Baker McKenzie, have begun experimenting with fixed-fee, subscription, or results-based billing to reflect the new reality. These alternative fee arrangements shift the emphasis from hours to outcomes, encouraging efficiency and innovation rather than the protection of time sheets.

Zimbabwe’s legal and financial sectors face the same dilemma. As clients become more tech-literate and regional businesses adopt AI in their own operations, they will expect comparable efficiencies from their advisors. The competitive advantage will belong to firms that integrate AI early and communicate its benefits transparently.

Accounting Firm, KPMG Australia developed an AI tool that generates a 25-page tax report within a day, compared to the two weeks required by human consultants. This project was very complex and time consuming but will pay dividends over time.

For Zimbabwean service teams, there are much simpler options to realise immediate returns. These options use the mainstream AI models linked directly to reliable sources of local statutes, regulations and governing body restrictions. This drastically limits the chance of erroneous answers or AI “hallucinations”.

In Zimbabwe, firms must pair AI adoption with Data Protection Act [Chapter 11:12] compliance and SI 155/2024 licensing/DPO obligations. Clients will expect the same speed they see elsewhere, plus local law conformity.

Lawyers and accountants must also remain accountable for any advice generated with AI support. The technology can assist—but never replace—the legal judgment and professional responsibility at the heart of the practice.

Early adopters in Zimbabwe will gain by acknowledging the technological advances and providing a steady and controlled roll-out of new business models.

If you would like to receive the AI integration checklist or require additional information, contact andrew@insightaiafrica.co or visit www.insightaiafrica.co.