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MRC Compression with ImageGear
As more and more companies embrace digitization of paper documents, they’re looking for ways to minimize the virtual storage space necessary for these new files. They’re already benefiting from increased office space and improved workflow efficiency, but they also need data compression techniques to make access to digital information quicker and less costly. One standard […]
7 Essential Document Image Cleanup Features Your Application Needs
Document image cleanup is a vital step in building an efficient and accurate processing workflow. In a perfect world, every file an organization receives would be in pristine, high-resolution condition so it could be processed quickly and easily. Unfortunately, the reality is that documents come in all sizes, conditions, and formats. Companies can receive vital […]
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Realizing the Potential of AI Data Processing Applications
Far from just another tech industry buzzword, artificial intelligence (AI) is fast becoming a mainstay of data collection and analysis for many organizations. According to research by Accenture, not only do 84 percent of executives think leveraging AI is critical to meeting growth objectives, but three out of four of them believe they will […]
Legal Tech Trends Reshaping ECM in 2025
The legal tech landscape is experiencing remarkable growth. In 2024, legal tech companies raised nearly $5 billion—that’s a 47% increase from 2023. This surge in funding represents the industry’s growing appetite for innovation. Technology is reshaping how legal professionals work and how software providers meet their needs. Artificial intelligence (AI) and automation are leading the […]
Reduce Server Requirements by 30% With PrizmDoc Hybrid Viewing
PrizmDoc’s Hybrid Viewing offloads document viewing to the end user’s device to save server resources and improve viewing performance. Utilizing server resources to render and deliver documents for viewing can increase your operational costs, hinder performance, and make it difficult to scale your viewing solution for multiple users.