In the demanding world of tax accounting, managing complex Schedule K-1 documents is a persistent challenge. Crowe LLP, one of the largest public accounting and consulting firms in the U.S., faced exactly that — handling vast volumes of unstructured and nuanced K-1 data with manual processes that were time-consuming and prone to error.

This exclusive case study reveals how Crowe transformed their K-1 processing by adopting Thomson Reuters Additive, an AI-powered GenAI-native extraction platform that automates data ingestion and delivers structured, accurate outputs. The result? A scalable, connected workflow that eliminates manual data entry, accelerates turnaround times, and enables tax professionals to focus on insightful analysis and strategic advisory services.

• Download the Crowe LLP case study to discover:

  • How advanced AI simplified the extraction and structuring of complex K-1 and K-3 data with over 95% accuracy

  • The benefits of integrating structured, API-ready data directly into existing tax technology ecosystems

  • Real-world impacts including faster compliance, deeper client insights, and reduced operational risk

  • Why technology adoption is more than efficiency — it’s a competitive advantage in today’s accounting landscape

  Whether you’re an accountant, CPA, or tax professional, Crowe’s journey illustrates practical ways to modernize your workflows, improve service delivery, and stay ahead in a rapidly evolving industry.

  Ready to see K-1 processing transformed? Complete the form to download the full case study and learn how your firm can gain similar benefits.