Aderant transforms cloud operations with Amazon Quick

Artificial Intelligence Aderant transforms cloud operations with Amazon Quick 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. The solution: AI-powered search and workflow automation In October 2025, Aderant deployed Quick, beginning with a pilot of the CloudOps Helper bot. The implementation was fast, with full deployment and Chrome extension rollout completed by November 2025. By February 2026, success with the CloudOps team led to expansion with a Support Helper bot for the Product Support organization, bringing Quick capabilities to 86 additional team members.The CloudOps Helper bot became the centerpiece of the solution, providing unified AI-powered search across their six core knowledge systems. Engineers could now ask natural language questions and receive relevant answers drawn from Confluence documentation, SharePoint files, Git repositories, Jira tickets, Teams conversations, and Quick Sight dashboards, all from a single interface. The team connected their six major systems plus three MCP servers using pre-built integrations, becoming operational within weeks rather than the months. The platform’s built-in security management, including support for Okta SSO and IAM, removed the need for custom access controls, while the unified search capability worked out of the box without requiring custom UI development. Important note on data usage: CloudOps Helper analyzes only Aderant’s internal operational and infrastructure data sourced from Confluence, SharePoint, Git repositories, Jira, Microsoft Teams, and Quick Sight dashboards. This data is strictly limited to AWS infrastructure and CloudOps team resources used to support and maintain the Expert Sierra platform. Aderant doesn’t access or analyze any client application data or client business information.…