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.

What was the impact of the AI solution?

The migration moved 54 TB of files in three months. Running costs were reduced by 35%. The company gained the ability to scale capacity on demand and bring new products to market faster.

Source

GCP

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.

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

Reported outcomes

−35%

costCost savings

Strategic outcomes

Cost efficiencyReduced infrastructure operating costsScale & capacityEnabled on-demand capacity scalingSpeed & agilityAccelerated new product deliveryNew product / capabilityAutomated document reading and lawyer notifications

Catalog median for cost savings deployments: −45% across 345 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 3

1Document Processing
2Contract Lifecycle Management
3Cloud Migration

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.

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.
Running costs were reduced by 35%.
The company gained the ability to scale capacity on demand and bring new products to market faster.

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.

Implementation partners2

IPNET EPAM

Sources & evidence1

Groundedness: 4/5Type: Customer StoryPublished: Jan 1, 2021Publisher: Google CloudEvidence: PrimaryConfidence: High

Primary source

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Customer evidence