Normalized claim
Search time: 90% decrease
search times
Aderant transforms cloud operations with Amazon Q (Quick)
Use case typeSearch modernizationUpdated May 18, 2026
Aderant, a global provider of 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. The company used Amazon Q Quick capabilities to unify search across six internal knowledge systems and automate documentation workflows for CloudOps and Product Support.
- Organization
- Aderant
- Industry
- Professional Services
- Location
- United States
- Published
- May 2026
Reported outcomes
−90%
search timeTime & speed
−75%documentation creation time−95%client history research time+200%knowledge base output−75%documentation backlog
Strategic outcomes
Cost efficiencyAccelerated support response timesCost efficiencyUnified fragmented knowledge accessCustomer experience & trustImproved troubleshooting and resolution context
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Documentation creation time: 75% decrease
a 75 percent documentation acceleration
Normalized claim
Client history research time: 95% decrease
a 95 percent reduction in client history research time
Normalized claim
Knowledge base output: 200% increase
increased output by 200 percent
Normalized claim
Documentation backlog: 75% decrease
The documentation backlog dropped from more than 40 articles to fewer than 10
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Aderant
- Provider
- AWS
- Maturity
- Production
- Linked source
- AWS Machine Learning Blog
Aderant deployed Amazon Q Quick, starting with the CloudOps Helper bot and later expanding to a Support Helper bot
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 3
- 1Search modernization
- 2Workflow automation
- 3Knowledge management
- Information was scattered across six systems, forcing 30-45 minutes of manual searching per task.
- Manual documentation slowed support and troubleshooting across more than 200 support tickets and a global operations model.
- Aderant deployed Amazon Q Quick, starting with the CloudOps Helper bot and later expanding to a Support Helper bot.
- It connected Confluence, SharePoint, Git repositories, Jira, Microsoft Teams, and QuickSight dashboards with pre-built integrations and MCP servers to enable natural-language search, research, and workflow automation.
- Amazon Quick Flows automated knowledge-base article creation with duplicate detection and human review, while Quick Research supported root-cause analysis and pattern discovery.
- Search time improved by 90 percent, from 30-45 minutes to 3-5 minutes.
- Documentation creation improved by 75 percent, from one hour to about 15 minutes.
- Client history research time fell by 95 percent, from 2-4 hours to 2-3 minutes.
- The documentation backlog dropped from more than 40 articles to fewer than 10.
- The knowledge base output increased by 200 percent, producing three times more articles.
Architecture
Aderant deployed Amazon Q Quick with CloudOps Helper and Support Helper bots, using Quick Flows, Quick Research, and Quick Spaces. The implementation connected Confluence, SharePoint, Git, Jira, Microsoft Teams, QuickSight, and MCP servers through pre-built integrations to enable unified search, automated documentation, and root-cause analysis with human-in-the-loop review for article publication.
Sources & evidence1
Evidence: Medium50/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Quantified outcome available
- Technical implementation details available
Type: Blog PostPublished: May 18, 2026Publisher: AWS Machine Learning BlogEvidence: VendorConfidence: High
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