It appeared that the countdown had begun for the demise of the billable hour, boosted by the promise of artificial intelligence in the legal sector. The anticipation was that AI would reduce the reliance on hourly billing, pushing law firms towards a value-based pricing model. However, recent data suggests the opposite effect; the billable hour remains as entrenched as ever.

The SMB Law Billing and Payments Report, analyzing data from over 60,000 small to mid-sized law firms, shows a decline in the adoption of flat fees, slipping from 16% to 15% over the past year, despite high expectations propelled by AI advancements. This regression is notable especially considering that nearly half of these firms continue to bill solely by the hour.

Legal industry experts had long foreseen a shift from billable hours to flat fees, driven by client demands for cost predictability. Yet, the report underscores a stark reality: firms are making a deliberate choice to stick with hourly billing. The enthusiasm around AI-driven efficiencies seems mismatched with actual billing practices where hours per case have increased across various practice areas, contradicting the notion that AI would streamline workload and reduce billable hours.

Lawyers seem to save time using AI tools, but the technology also uncovers additional layers of work previously unexplored due to time constraints. AI doesn't just expedite tasks; it expands them by identifying new angles and unconsidered legal precedents, thereby increasing the scope of billable activities. This phenomenon mirrors the economic principle known as Jevons Paradox, where increased efficiency in resource usage leads to higher, not lower, consumption of that resource.

The decision between hourly and flat fee billing often hinges on the predictability of the case. If a matter is well-defined and contained, a flat fee is feasible. However, if the scope is uncertain, hourly billing protects the firm’s financial interests. Despite AI's potential to streamline and predict work, the complexity and unpredictability of legal matters still make hourly billing a safer and often more profitable choice for firms.

Billing data reveals a substantial increase in billed hours without corresponding hikes in hourly rates, suggesting that while AI may help capture more billable time, it hasn't reduced the workload. Instead, it has possibly made lawyers more thorough, capturing efforts that were previously considered non-billable.

This trend is consistent even in larger legal markets, where the demand for lawyer time has seen significant growth. Clients may believe AI is saving time on legal matters, but paradoxically, they find themselves paying for more hours than before.

In conclusion, rather than eliminating the billable hour, AI seems to have fortified it. By enabling lawyers to delve deeper and cover more ground, AI has inadvertently ensured that the billable hour remains a dominant force in legal billing practices. The evolution of AI in law appears not as a disruptor of the status quo, but rather as an unexpected ally to traditional billing methods.