Aderant's AI-powered Amazon Quick slashes search by 90% and docs by 75%
Unified search across six systems cuts ticket response from 45 minutes to 15.
Aderant, a global legal business management software provider, faced a common operational bottleneck: its 38-person Cloud Engineering team supporting the Expert Sierra platform had to manually search across six disconnected systems (Confluence, SharePoint, Git, Jira, Teams, QuickSight) to resolve support tickets. Each search took 30–45 minutes, compounding with over 200 daily tickets. In October 2025, they deployed Amazon Quick (an AI-powered search and automation platform) starting with a CloudOps Helper bot. By November 2025, full rollout was complete, and by February 2026, a Support Helper bot extended capabilities to 86 more team members.
Amazon Quick unified search across all six systems using natural language queries, reducing search time by 90%. The platform also introduced automated Flows for knowledge base article creation, cutting creation time from one hour to 15 minutes (75% savings) via duplicate detection and human-in-the-loop approval. Additionally, Quick Research enabled root-cause analysis and pattern discovery, helping identify knowledge gaps. Aderant emphasized strict data boundaries—only internal infrastructure data is analyzed, not client application data. The result: faster, more responsive support for legal clients relying on Expert Sierra.
- Unified AI search across 6 systems reduced search time from 30–45 minutes to near instant—90% faster.
- Automated documentation flows cut knowledge article creation from 1 hour to 15 minutes, a 75% acceleration.
- Deployment completed in under 2 months for 38 CloudOps engineers, later expanded to 86 Support staff.
Why It Matters
Legal tech support teams can now resolve tickets 3x faster, cutting operational friction for global clients.