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Reality Check: Real Innovation Only Matters If It Works – The CDS Vision Suite

Mar 23, 2026

The eDiscovery market talks a lot about innovation.

New artificial intelligence capabilities. New platforms. New promises about speed and efficiency.

After working in this space for many years, I have learned something simple. Technology only matters if it helps people do their jobs better.

At Complete Discovery Source, we have spent more than two decades working alongside the legal teams responsible for complex litigation, investigations, and regulatory matters. That proximity to real work shapes how we think about technology and how we build it.

Our partnership with Relativity has played an important role in that journey.

CDS was among the first organizations to achieve Relativity’s Best in Service Orange Level certification in 2012. Today we continue that relationship as a Relativity Gold Provider Partner. From the beginning, our role in that ecosystem has never been limited to operating the platform. We have focused on expanding what it can do for the people who rely on it every day.

From artificial intelligence driven analytics to legal hold workflows and proprietary development within Relativity, our goal has always been the same. Make powerful technology easier to use and more effective for the teams responsible for discovery work.

That philosophy ultimately led to the development of CDS Vision, our proprietary suite of tools designed to help legal teams interact with data more efficiently and more intuitively.

The Early Signals: Why the CDS Vision Suite Was Needed

About a decade ago, we began seeing a consistent pattern across many client matters.

Relativity was already one of the most capable discovery platforms available. But for many legal professionals, accessing that power was not always straightforward. Search logic could be complex. Workflows were technical. And many teams were trying to unlock value from tools that required significant technical expertise.

Instead of asking our clients to become technologists, we asked a different question. How can we make Relativity easier for real people to use while still delivering meaningful results?

That question led to the development of Search Visualization, which later became the foundation for the CDS Vision suite.

As Mike Milicevic, our Vice President of eDiscovery Products and Solutions, explains, the goal was simple.

“What we were really doing was taking search, which can be complex to run in RelativityOne, and building visualizations that made it easier to understand and act on.”

Rather than requiring users to navigate complex queries, we made the results visible and easier to interpret. That first tool demonstrated how thoughtful development inside the Relativity environment could improve everyday discovery workflows.

From One Tool to a Platform

Search Visualization launched in 2016 as a focused custom development effort.

But once our teams began addressing these challenges, new opportunities quickly emerged. That is often how innovation happens in discovery. Improving one workflow usually reveals another area where the process can be made more efficient.

Over time, those solutions evolved into the CDS Vision suite. Today Vision includes proprietary viewers, automation workflows, advanced data visualization capabilities, system integrations, and artificial intelligence enabled features designed to improve the speed and accuracy of review.

None of this came from a traditional product roadmap.

It came from working directly with clients on active matters and responding to the challenges they faced in real time.

Client Driven Innovation

A good example of that process emerged during the industry transition from Relativity Server to RelativityOne.

Many organizations faced complicated decisions when considering moving to the cloud. They needed to determine what data should be archived, what needed to be migrated, and how workspaces would be managed once they were operating in the cloud environment.

Clients needed more than guidance. They needed tools that could help them make those decisions.

That led to the development of Vision AutoArchive, which analyzes workspace activity and data characteristics to determine what should be migrated and what should be archived.

The result is improved data management and significant cost savings for organizations managing large discovery environments.

As Mike explains, the origin of that capability was grounded in a real client experience.

“AutoArchive came from one of our earliest enterprise migrations to RelativityOne. There is a story like that behind every tool in the Vision suite.”

The Principles Behind the CDS Vision Suite

As Vision continued to evolve, our development teams aligned around several principles that guide how new capabilities are built.

The first is practicality. If a tool does not improve how people actually work inside Relativity, it does not get built.

The second is time. Discovery is inherently time sensitive, and technology should help teams move faster by simplifying workflows and reducing unnecessary steps.

The third is problem solving. Our focus is not on building impressive features for their own sake. Our focus is on removing friction from the discovery process.

As Mike often says, the goal is straightforward.

“We are not in the business of creating flashy tools. Everything we develop is meant to save time and money so clients can focus on the work that matters.”

How Vision Grew Organically

Vision expanded the same way many meaningful technology solutions do. One problem at a time.

A client struggling to review handwritten medical records led to the development of Vision AI OCR, which made handwritten documents searchable.

That immediately raised another question. How should teams handle images that cannot be searched using traditional methods? That challenge led to Vision AI Images, which uses artificial intelligence to summarize visual content so it can be analyzed and searched more effectively.

As organizations began working with large image collections, they also needed better ways to review those files at scale. That requirement led to the development of Vision AI Image Gallery.

Each capability emerged from the same process.

Tell us a problem. We will develop a solution. That solution naturally leads to the next opportunity.

Why CDS Builds Inside Relativity

One of the most important strategic decisions we made early on was to stay focused.

There is always pressure in legal technology to build entirely new platforms or expand into adjacent areas. That has never been our objective.

CDS develops technology inside the Relativity ecosystem because that is where our clients already operate. Instead of replacing existing tools, we focus on extending their capabilities and improving the experience for the professionals using them.

Our teams work closely with clients on discovery matters every day. That perspective helps us identify where improvements can deliver the greatest impact.

As Mike puts it, “We are in the weeds with our clients every day executing discovery work. That is where the real opportunities for improvement show up.”

Proof the Approach Works

The impact of these tools becomes clear when looking at real outcomes.

One enterprise law firm that adopted Vision tools significantly reduced its hosting footprint after migrating to RelativityOne. Over time, its storage footprint decreased by more than 3,500 percent.

The firm gained better control over its data and reduced long term storage costs.

Ironically, those efficiencies meant that CDS generated less revenue from hosting services. But improving client efficiency has always been the goal.

“When your tools help clients spend less while getting more value, that is when you know you are doing something right.”

Recognition for Real Innovation

The industry has also recognized the impact of the Vision platform.

In 2025, CDS Vision Financial Analysis received the Best Innovation Beyond award at Relativity Fest. The tool addresses one of the most complex challenges in discovery: reviewing large structured financial data sets.

Instead of forcing reviewers to analyze massive spreadsheets, Vision Financial Analysis converts structured Excel data into granular records enriched with metadata that can be reviewed directly inside RelativityOne.

Millions of rows of financial data become easier to analyze. Insights become more visible. And review becomes significantly faster.

Looking Ahead

Artificial intelligence is already transforming how legal teams analyze and manage data. That transformation will continue as the volume and complexity of information grows.

New technology does not eliminate complexity. It changes where that complexity exists and how organizations manage it. As Mike explains, the growth of artificial intelligence will make advanced analysis tools even more important.

“Generative AI solves many problems, but it also creates new ones. As data volumes increase, we will need these tools to help analyze the information that technology itself is helping create.”

For CDS, the future of Vision will continue to evolve alongside Relativity’s platform. Our focus will remain the same: helping clients work more efficiently, reduce costs, and manage increasingly complex discovery challenges.

Technology alone does not deliver outcomes.

People do.

Platforms matter. Artificial intelligence matters. Automation matters.

But the organizations that succeed in discovery are the ones that combine technology with experience, process, and a clear understanding of the problems they are trying to solve.

That approach has guided CDS for more than two decades, and it will continue to shape how we innovate moving forward.

About the Author

Nye Htwe

Nye Htwe

Nyi Htwe is the Chief Technology Officer and Executive Vice President at Complete Discovery Source (CDS), where he has spent 21 years leading technology strategy, operations, and innovation. Nyi has played a key role in scaling CDS from a startup into a mid-sized organization and brings more than 25 years of experience supporting complex discovery matters, including DOJ second requests, antitrust, litigation, and government investigations. He specializes in legal technology, eDiscovery, artificial intelligence, cybersecurity, and information governance. Nyi holds a bachelor’s degree in economics from CUNY. Known for his collaborative leadership style and passion for innovation, Nyi is dedicated to delivering AI-driven solutions that solve real-world legal challenges while maintaining exceptional client service.

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