What challenges did e-Xyon face before AI implementation?

The company needed to reduce day-to-day operational burden and improve speed and accuracy for electronic litigation documents and contract lifecycle management. Its previous datacenter setup was expensive and too slow to support new business opportunities and on-demand capacity needs.

Source

GCPProductionEvidence: Medium65/100

e-Xyon: Vision AI for legal document reading and contract lifecycle management (with Google Cloud migration)

Use case typeDocument managementUpdated Jun 13, 2026

e-Xyon, a legal technology provider, migrated its hosted data centers to Google Cloud to reduce infrastructure costs and improve agility for legal software customers. The company deployed Vision AI in one of its products to read electronic litigation documents, update them, and notify lawyers, supporting legal document processing and contract lifecycle management workflows.

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Organization: e-Xyon
Industry: Legal
Location: Brazil
Published: January 2021

Reported outcomes

Cost: −35%

Cost savings

Catalog median for cost savings deployments: −40% across 171 reported metrics. Compare benchmarks →

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Cost: 35% decrease

Google Cloud Customer StoriesJan 1, 2021Customer storyInferred claimMedium evidence strength

Running costs were reduced by 35%.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: e-Xyon
Provider: GCP
Maturity: Production
Linked source: Google Cloud Customer Stories

The company deployed Vision AI in one of its products to read electronic litigation documents, update them, and notify lawyers, supporting legal document processing and contract lifecycle management workflows

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Document Processing
2Contract Lifecycle Management
3Cloud Migration

e-Xyon migrated its applications and hosted data to Google Cloud, using Compute Engine, Cloud Storage, App Engine, and Google Kubernetes Engine.
The company deployed Vision AI in a product workflow to read electronic litigation documents, update them, and notify lawyers.
It also used migVisor by EPAM to help plan cloud database migration paths.

Technologies

Vision API Compute Engine Cloud Storage App Engine Google Kubernetes Engine migVisor by EPAM

The migration moved 54 TB of files in three months.

Architecture

e-Xyon's systems run on Google Cloud infrastructure including Compute Engine for virtual machines, Cloud Storage and App Engine for managed services, and Google Kubernetes Engine for AI department workloads. Vision AI was deployed in a product workflow that reads electronic litigation documents, updates them, and notifies lawyers. migVisor by EPAM was used to support database migration planning.

Sources & evidence1

Evidence: Medium65/100Evidence strength