Integrating AI-Assisted Review into Existing Legal Workflows

Have you ever wondered how legal reviews that once took weeks are now moving at unprecedented speed? A recent study found that eDiscovery professionals are who are using AI in their work reclaim up to 260 hours per year thanks to AI-assisted review.

Today, we're taking a closer look at how AI-assisted review is reshaping legal workflows for legal counsel.

Understanding AI-Assisted Review in Legal Context

AI-assisted review refers to the use of computer-driven analysis to help reviewers find and classify relevant materials. It differs from technology-assisted review in that it often uses more advanced models that can learn from reviewer input.

While technology-assisted review can still provide automation, AI-assisted review adapts as it processes more data, improving its ability to identify key information.

In an eDiscovery platform, AI-assisted review helps sort through thousands or even millions of documents. The system flags those most likely to be relevant based on patterns it learns from previous reviewer decisions. It makes the review process faster and allows attorneys to focus their time on the materials that matter most.

Legal counsel is adopting AI-assisted review because it can save time, reduce costs, and improve consistency in document analysis. When used as part of a broader case strategy, it supports better preparation and can make deadlines more manageable. As legal workloads grow, this type of support is becoming more common in law firms and corporate legal departments.

Why Legal Professionals Are Adopting AI in eDiscovery

The use of AI-assisted review is rising as more firms look for ways to handle growing volumes of electronic evidence. There are three main reasons legal professionals adopting AI are finding it worth the investment:

• Manual review is slow, prone to error, and expensive
• AI-assisted review offers faster and more accurate results
• The approach aligns with current legal technology trends toward automation

Manual Review

Traditional document review can take hundreds of hours, often requiring large teams of reviewers. Fatigue and human oversight can lead to missed documents, which may affect case outcomes. Costs grow quickly when firms rely on this approach for every case, especially in complex litigation.

Faster and More Accurate Results

By using AI-assisted review within an eDiscovery platform, attorneys can process large data sets in less time. The technology learns from reviewer input, which improves accuracy over time. It reduces the number of irrelevant documents attorneys must read and allows more focus on evidence that matters.

Current Legal Technology Trends Toward Automation

Adopting AI in law reflects the broader move toward efficiency in legal practice. Many legal counsel see technology-assisted review as a natural step in modernizing their workflows. It's becoming part of the standard toolkit for managing eDiscovery more effectively.

Benefits of AI in eDiscovery Workflows

AI-assisted review offers a number of practical benefits for law firms and corporate legal teams. These advantages help legal counsel handle growing data volumes while meeting court deadlines and budget requirements.

There are three main ways this technology improves outcomes in eDiscovery:

• eDiscovery software benefits that improve speed, accuracy, and scalability
• eDiscovery efficiency improvements that reduce costs and save time
• Consistent results that support compliance and legal defensibility

Speed, Accuracy, and Scalability

An eDiscovery platform with AI-assisted review can process large data sets quickly. It shortens the time it takes to identify relevant material.

By reducing the number of irrelevant items that attorneys must review, the process becomes more accurate. This efficiency scales well, making it possible to handle even larger collections without adding more reviewers.

Reduce Costs and Save Time

When less time is spent on irrelevant documents, the cost of review drops. AI-assisted review helps teams meet strict deadlines while keeping staffing needs lower. It's especially important in large cases where the cost of manual review would otherwise be very high.

Consistent Results That Support Compliance and Legal Defensibility

AI in legal tech applies the same criteria to every document it reviews. This consistency helps maintain defensibility in court and supports compliance with disclosure rules. Legal counsel can trust that the same standards are applied across the entire collection, reducing the chance of oversight.

Integrating AI-Assisted Review into Existing Legal Workflows

Bringing AI-assisted review into a legal team's established process takes planning and a clear approach. It's not only about using new technology but about making sure it works well with the tools and habits that are already in place.

There are four main steps to make the transition smooth and effective:

• Evaluate the current eDiscovery platform and its capabilities
• Select compatible technology-assisted review tools
• Train staff and set clear review protocols
• Integrate AI-assisted review into the overall case strategy

Evaluate the Current eDiscovery Platform and Its Capabilities

Before adding any new system, legal counsel should look closely at the existing eDiscovery platform. It includes reviewing the types of cases handled, the size of data sets, and the features already available. Knowing what works well and what needs improvement helps guide the next steps.

Select Compatible Technology-Assisted Review Tools

The next step is choosing tools that fit with the current setup. Technology-assisted review options should work smoothly with the existing platform. Compatibility reduces the risk of delays and makes it easier for staff to adapt.

Train Staff and Set Clear Review Protocols

Training is important for both attorneys and support staff. Everyone involved in review should understand how AI-assisted review works and the process for approving or rejecting its suggestions. Clear guidelines help maintain accuracy and consistency.

Integrate AI-Assisted Review into the Overall Case Strategy

Once the system is running, it should be part of the broader legal plan. Legal counsel can use the results from AI-assisted review to focus on key issues earlier in the process. When aligned with case goals, this approach can make reviews faster, more consistent, and less costly.

eDiscovery Efficiency Improvements

AI-assisted review is changing how legal counsel approaches eDiscovery, offering faster results, lower costs, and greater consistency.

At Reveal, we've been part of eDiscovery since its early days, bringing together experience from law firms, corporate legal teams, LSPs, and software development. Our team has built frameworks, launched companies, and tackled high-stakes matters. Today, at Reveal, we collaborate globally to deliver an AI-powered platform that helps clients achieve their best work.

Get in touch today to find out how we can help with your eDiscovery.