Why On-Prem Ediscovery Platforms Need AI, Not Just Security

According to National University's 2025 reports, 77% of companies currently use or are exploring the use of AI. 83% say that AI usage is a top priority for their business plans, and nine in ten enterprises believe that machine learning offers a competitive advantage.

AI is more than just a security measure, especially since eDiscovery's methodical and meticulous process can be challenging for businesses. Luckily, on-premise eDiscovery is one activity that AI can simplify.

Here, we'll discuss the benefits of AI in eDiscovery solutions. Read on to learn why AI in legal tech is the future of legal discovery processes alongside security features.

The Ins and Outs of AI in On-Premise eDiscovery

eDiscovery is used to find evidence on computer systems that can be used in litigation or criminal courts. In on-premise systems, this information is held within privately owned servers. Your enterprise may hold relevant information in:

• Email correspondence
• Digital documents
• Audio and video files
• Integrated applications
• Social media posts

There are limitless locations where data can be found, so manually navigating your on-premise server or cloud is an inefficient and often ineffective way to source it.

AI-powered on-premise eDiscovery makes this easier with end-to-end data management. The most effective AI eDiscovery software assists you during every stage of the Electronic Discovery Reference Model (EDRM). These stages include:

• Quickly identifying documents that should be preserved
• Collecting data as instructed by the user
• Preserving necessary information with legal-hold tagging
• Finding key witnesses and the facts needed for good litigation strategies
• Using one continuous workflow to process, review, and analyze data
• Analyzing data to craft compelling evidence-based stories
• Processing and producing easy-to-visualize data

This speeds up the process of data collection and analysis for shorter case times. It also ensures that you don't skip over relevant information during the eDiscovery process.

The Benefits of AI eDiscovery Tools

The American Bar Association (ABA) reports that document review accounts for about 80% of litigation costs. This comes out to $42 billion annually.

AI software will instantly comb through documents at the click of a button. It will highlight relevant information so your team knows what to look at. Additionally, GenAI eDiscovery software will summarize data in short, easy-to-read paragraphs for simple review.

This ensures that document review goes more quickly and decreases the number of reviewers you need. Plus, reviewers will only need to spend a couple of hours reviewing information rather than several days.

You can save up to 80% of costs while cutting review times by 80% as well.

Quick Case Assessment

The eDiscovery process begins with a Freedom of Information Act (FOIA) request. People have a right to request federal agency records, and your enterprise may be asked to hold and share information from these documents.

They are used for litigations and must work within those legal timelines. As a result, your eDiscovery speed is dictated by statute rather than your convenience or capabilities.

Reviewers can quickly find information with AI by searching for it. Concept Search capabilities let you run a search on the specific information you need collected. This can be a single term or a paragraph that you search your systems for, just as you would an email text body.

Cutting-edge AI will also show you Related Concepts. Reveal has a patented concept identification strategy to help you find connections between documents. You can then use digital weights to tell the AI that some concepts are more important than others, which means you'll get more information about the most important concepts.

Increased Privacy: Why AI is Needed for Security

Security is doubtlessly a priority when working with sensitive data. AI models bolster the security of regulated information because it has been trained to assess sensitive records.

IBM reports that a single data breach costs the average enterprise about $4.4 million. They also note that those who implement extensive AI in their security systems save about $1.9 million compared to other businesses.

Artificial intelligence models can:

• Use privacy-enhancing technologies to analyze secure data
• Automate privacy practices like data classification and consent management
• Implement multiple techniques such as differential privacy and federated learning
• Use integrated threat detection software to prevent breaches
• Ensure that access control features are in place

How Do Quality AI eDiscovery Solutions Work?

Reveal's AI-powered eDiscovery software works as a comprehensive end-to-end solution. Deploying the technology first makes data processing easy. You can turn it into searchable text with a drag-and-drop tool that supports over 900 different file types.

Complex data types are fair game, too. You can generate documents based on individual specifications to transform data into something easy to assess.

Early case assessment is made simple, which cuts overall review times by 50%!

Our AI also has robust data normalization features. It will:

• Identify text embedded in images
• Extract that text for readability
• Transcribe audio/video files into searchable text
• Translate text between 160+ languages

This ensures that everything is in one place and easy to search.

All of this happens within an integrated dashboard for easy organization and privacy compliance.

AI-Assisted Review

Once everything is easily accessible, Reveal's AI makes reviewing documents easier. Beyond highlighting and summarizing text, users can expect:

• Document organization that places specific subjects into "Notebooks"
• Robust taffing and coding features for easy navigation
• Machine learning to identify what information you find useful
• Quick course corrections to your assessment model

You can easily filter data based on:

• Connections between terms and phrases
• Concepts that you need information about
• Timeframes
• Duplicates

This makes the review process more efficient by organizing and storing data in an easy-to-access, easy-to-understand way.

Interactive Insights

eDiscovery innovation isn't just about finding patterns. It's about making data easy to interpret. When data is easy to understand and visualize, your eDiscovery team can draw accurate conclusions quickly.

From information derived from AI models and supervised learning, Reveal's technology will create interactive visualizations of data.

You can generate:

• Communications analysis
• Cluster wheels
• Heatmaps

These point-and-click outputs are easy to navigate and utilize.

Discover the Benefits of AI in Legal Tech

Now that you know why AI is necessary in on-premise eDiscovery, it's time to learn more about deploying these solutions in tandem with security features.

Reveal works with corporate legal representatives, attorneys, and public records professionals to assist with eDiscovery. Schedule a demo of our services to learn how we can help you do your job smarter and faster!