Aderant, a leading global provider of comprehensive business management software for the legal industry, has 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.
The Cloud Operations team previously faced a significant challenge: essential information was scattered across six disconnected systems. Support engineers had to manually search through multiple dashboards, consuming 30–45 minutes per task. With over 200 support tickets arriving daily alongside a global 24/7 support commitment, these delays compounded quickly. Engineers spent valuable time hunting for information rather than solving problems, risking missing critical context from scattered documentation.
In October 2025, Aderant deployed Quick, piloting the CloudOps Helper bot. The implementation was fast, with full deployment and Chrome extension rollout completed by November 2025. By February 2026, its success 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 provided unified AI-powered search across their six core systems. Engineers could now ask natural language questions and receive relevant answers drawn from Confluence, SharePoint, Git, Jira, Teams, and QuickSight from a single interface.
The team connected their six major legacy systems plus three MCP (Model Context Protocol) servers using pre-built integrations, becoming operational within weeks rather than months. The platform’s built-in security, including support for enterprise access controls, ensured safe deployment. Ultimately, this enabled Aderant to achieve 90 percent faster search times and 75 percent documentation acceleration.
[AgentUpdate Depth Analysis] Aderant’s successful deployment highlights the growing maturity of enterprise AI Agents, particularly through the adoption of the Model Context Protocol (MCP). By linking legacy systems with three MCP servers, Aderant bypassed months of custom integration, solving the notorious "data silo" problem that plagues traditional RAG implementations. MCP is rapidly establishing itself as the universal interface for AI Agents, allowing LLMs to securely and dynamically interact with disparate tools. This transition from static knowledge retrieval to active, cross-platform workflows represents a paradigm shift. As major cloud hyperscalers like AWS embrace standardized protocols, we will see an acceleration of Agent adoption, proving that the future of enterprise automation lies in open, interoperable agentic ecosystems rather than proprietary, isolated platforms.
