Zebraworks has introduced DataQ AI, an AI-powered analytics platform aimed at assisting law firms in pinpointing revenue cycle issues to prevent disruptions in cash flow. As part of Zebraworks’ Invoices-to-Cash suite, DataQ AI leverages artificial intelligence to evaluate billing and collections activities, trust and retainer funds, and client payment patterns to enhance realization and expedite the revenue cycle.
CEO Bill Bice describes the core purpose of DataQ AI as helping law firms focus on key cash flow levers, identifying critical action points to avert potential revenue slowdowns. This tool marks an evolution from Zebraworks’ 2022 DataQ business intelligence offering by incorporating AI to identify exceptions and prioritize interventions.
DataQ AI provides billing and collections teams with insight into patterns such as irregular client payment cycles, partial payments, changes in client creditworthiness, and discrepancies between available trust funds and receivables. By detecting these signals early, the platform aids in directing attention to revenue-critical issues, relieving teams from routine aging reports and allowing them to focus on significant cash flow opportunities.
Notably, Zebraworks has been gaining momentum since closing a $4.5 million funding round in December 2024, raising its total to $13.5 million, with backing from Reckon Limited. It has also made strategic hires to facilitate its expansion into the UK and EMEA markets, including Jake Laliberte and Kristi Pierson.
DataQ AI complements Zebraworks’ existing product suite, which includes BillQ for billing workflow automation and PayQ for online payment processing. Designed with a focus on addressing revenue cycle management challenges specific to the legal sector, Zebraworks positions DataQ AI as a strategic tool that seeks to deliver timely insight and enhanced prioritization, crucial for improving a law firm’s financial outcomes.