Smokeball AI: Up to 30% More Billable Hours and Three-Hour Daily Administrative Reduction for Small and Mid-Sized Firms — Built on Amazon Bedrock

Smokeball's AWS-published case study released July 15 documents the outcomes of its three generative AI tools — Archie, Intake, and AutoTime — deployed across a global install base of more than 6,000 law firms and 25,000 daily users in Australia, the UK, and the US. The headline result: AutoTime (automated time-tracking via Amazon Bedrock and SageMaker) helps lawyers capture up to 30% more billable hours by reducing daily timesheet creation from hours to minutes; Archie (a matter-based AI assistant on Amazon Bedrock with Claude V3 for document summarization, analysis, Q&A, and correspondence drafting) saves up to three hours per day on administrative tasks; and Intake (built on Amazon SageMaker) reduces form creation and population time from one hour to five minutes by processing existing forms and automatically generating new customized versions. For mid-sized firms evaluating AI-powered practice management platforms, the Smokeball outcomes data is one of the few published quantitative impact cases for a platform built at small-to-mid-sized firm scale. The 30% billable capture figure addresses the most common ROI question at this segment — not AI's productivity improvement per task, but its impact on firm revenue — and the administrative time reduction targets the work that consumes partner and associate time without producing billable output.