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Document Review

Technology Assisted Review revolutionizes the document review process by harnessing the power of AI and machine learning. By automating document categorization and prioritization, TAR accelerates the review process, improves accuracy, reduces costs, and offers transparency and defensibility. 

Because of both the labor-intensive nature of such review and the complexity of technical documents, having attorneys alone review millions of documents is seldom the most fruitful and rarely cost-effective.

Copperpod's engineering team can help corporations increase the technical accuracy and reduce legal costs associated with document reviews. Our team works seamlessly with the outside counsel and the in-house counsel to not only tag documents according to whether they are responsive to the case but also identify the key evidence as early in the case as possible.

Platform and Technology Agnostic
 

Our document review analysts are well versed with most document review platforms like Relativity, CS Disco and Concordance. We have leveraged our document review capabilities to help clients achieve success in several high-tech cases covering:

  • Web Browsers and Applications

  • Data Compression

  • Content Management Systems

  • Video Surveillance Systems

  • Image Processing

  • Enterprise Software

  • IEEE 802.11a/b/g/n/ac/ad WLAN

  • 2G/3G/4G Telecommunications

  • Android/iOS/Symbian

  • UNIX/Linux/Windows/MacOS

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Let's connect

Ready to take your organization to the next level? We would love to discuss how our expertise can help you achieve your goals!

Copperpod is one of the world's leading technology research and forensics firms, with an acute focus on management and monetization of intellectual property assets. 

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Contact Info

9901 Brodie Lane, Suite 160 - 828

Austin, TX 78748

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+1 512-550-1553

info@copperpodip.com

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© 2025 Carthaginian Ventures Private Limited d/b/a Copperpod IP. All Rights Reserved.                                                                                                               

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