This guest post is co-written by Angela Mapes and Adam Walker of Aderant.

Aderant, a leading global provider of comprehensive business management software for the legal industry, transformed how its 38-person Cloud Engineering team supports Expert Sierra, its cloud-based legal practice management solution. By implementing Amazon Quick, Aderant has accelerated documentation processes and empowered its Cloud Engineering team to deliver faster, more responsive support to clients who rely on Expert Sierra for their daily operations.

In this post, we share how Aderant used the AI-powered capabilities of Amazon Quick to unify search across six vendor systems and automate documentation workflows, achieving 90 percent faster search times and 75 percent documentation acceleration, and how others can apply these approaches to their operations.

The challenge: Information scattered across six systems

Aderant’s Cloud Operations team faced a common but significant challenge: essential information was scattered across multiple disconnected systems. Engineers supporting the Expert Sierra platform needed to search through multiple dashboards to find the answers that they needed. This fragmentation created significant operational friction. Manual searches across these systems consumed 30–45 minutes per task, slowing issue response and troubleshooting times. With more than 200 support tickets arriving and a commitment to all day global operational support, these delays compounded quickly. Engineers spent valuable time hunting for information rather than solving problems, and they risked missing critical context from scattered documentation. Aderant needed a solution that could unify search across their six knowledge systems, automate repetitive documentation tasks, and integrate with their existing tools, without requiring months of custom development.