Garner
Relativity-Native Web Capture
Transform web content into searchable, reviewable documents within Relativity.
Web content is increasingly relevant to investigations, litigation, and regulatory matters. Collecting and reviewing that content efficiently can be challenging when workflows span multiple tools and platforms.
Garner streamlines web content collection by capturing URLs and publishing the resulting content directly into Relativity as searchable, reviewable documents.
The Challenge
Web-based evidence often requires separate collection processes, manual tracking, and repeated capture of identical content.
These disconnected workflows can increase operational overhead and introduce unnecessary duplication into review environments.
The Solution
Garner captures web content from specified URLs, performs intelligent URL deduplication, and publishes the resulting content directly into Relativity.
The result is a streamlined workflow that keeps collection and review activities within the same platform.
Key Benefits
Relativity-Native Workflow
Capture and review web content without introducing additional review platforms.
URL Deduplication
Reduce redundant processing by identifying and eliminating duplicate URLs.
Searchable Documents
Convert captured web content into structured documents suitable for review and analysis.
Operational Efficiency
Simplify web evidence collection and reduce manual effort.
Additional Workflow Features
URL Preview Within Relativity
Garner allows users to inspect referenced URLs directly from the Relativity document viewer with a simple right-click action.
Faster Collection Decisions
Quickly determine whether a URL warrants collection and further review.
Reduced Workflow Disruption
Access relevant web content without switching tools or initiating a separate collection process.
Integrated Reviewer Experience
Keep reviewers focused on the documents and evidence that matter most.
Interested in Learning More?
Let’s discuss how Garner can support your web content collection and review workflows.