AI VISION
A trademark litigation and image identification workflow.
Despite overall advancements in core eDiscovery software, tools and processes over the past several years, few if any new gadgets within the market provide concrete solutions to help practitioners identify, tag, cull and produce elusive “images” buried deep within data sets both large and small.
Typically conducted as a manual process involving multiple individuals, legacy solutions are time-consuming, costly and prone to error leaving law firms, corporations and government agencies with a challenging, yet necessary evil, to produce accurate findings as part of the discovery process.
Until now. Introducing Intrepid Managed Discovery’s proprietary Intrepid AI Vision Image Identification Workflow.
95%
Established / maintained a 95% confidence score as a baseline
1.5M
Swiftly and accurately reviewed 300,000+ documents with 1.5 million images
72%
Client experienced 72% cost savings – estimated at $147,000
HOW IT WORKS
Find, cull and produce images buried deep within documents
Engineered to expedite the image identification process for logos, images, trademarks and other graphics-based assets, Intrepid AI Vision Image Identification Workflow provides eDiscovery practitioners with a potent, easy to use technology to help identify, tag, cull and produce images rapidly without sacrificing accuracy.
Field tested and refined to enhance, on average, Intrepid AI Vision Image Identification Workflow provides clients with a 95% confidence score, while significantly reducing time and associated costs by an average of 70% from manual-based solutions.