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 AI Vision Image Identification Workflow.
I’m in – Reserve my Free Webinar Seat Now
Engineered to expedite the image identification process for logos, images, trademarks and other graphics-based assets, 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, 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.
JOIN INTREPID FOR NEW WEBINAR SHOWCASING AI VISION IMAGE IDENTIFICATION WORKFLOW
March 13th, 1-2 Pm EST
Join Intrepid Managed Discovery Founder and CEO, Parkash Khatri, on Wednesday, March 13th from 1-2 PM EDT for a free educational webinar / demo showcasing how AI Vision Image Identification Workflow can help reduce time, costs and efforts associated to cumbersome, legacy image identification methodologies.
What you’ll experience:
- What image identification software is
- Why the market needs a viable solution to combat legacy methodologies
- Sample case studies / statistics illustrating results, accuracy and cost savings
- How AI Vision Image Identification Workflow works via live demo
I’m in – Reserve my Free Webinar Seat Now
We look forward to seeing you on the webinar.