
Advice

How AI Is Enhancing Early Case Assessment Through Early Resolution Analysis
- eDiscovery
Managing large datasets is a growing challenge for legal professionals whether for litigation, regulatory reviews, or internal investigations. Early Case Assessment (ECA) systematically analyzes and prioritizes data early for better decision-making and cost control. With the addition of conversational AI, legal teams can also apply Early Resolution Analysis (ERA) to uncover key facts and patterns early — making ECA even more effective. While ECA is well known for its pivotal role in jurisdictions where discovery is a formal legal requirement, its benefits can add value to legal and investigative workflows on a global scale.
Reducing Document Volumes To Save Time and Costs
The early stages of a legal matter often involve vast amounts of data, much of which is irrelevant to the issue at hand. Processing and reviewing unnecessary information can delay progress and increase costs. With ECA, organizations can filter and significantly reduce document populations, minimizing the burden on resources.
This process is now enhanced by conversational AI, which allows teams to ask natural-language questions and surface key facts from across the dataset early in the workflow. This capability not only improves issue scoping but also enables Early Resolution Analysis (ERA) — a strategic approach that enhances ECA by helping teams connect people, facts, and timelines sooner. The result is a more focused and informed path through investigations or litigation.
Driving Efficiency With ECA Platforms
Processing platforms with ECA capabilities provides a centralized way to manage large datasets. Platforms that streamline tasks such as filtering, de-duplication, and data organization can further reduce the total time spent.
For additional time savings, predefined criteria such as date ranges, sender and recipient filters, and keyword searches enable legal teams to quickly sort and refine datasets, reducing manual effort.
Advanced Analytics Ensure Critical Information Is Uncovered
Advanced analytics support effective culling workflows. Communication analysis, conceptual search, predictive coding, and data assessment dashboards provide legal teams with deeper insights into large datasets, meaning critical information is not overlooked.
For example, communication analysis identifies relationships and patterns within emails or messaging threads, pinpointing key custodians or topics. Data assessment dashboards provide a high-level overview of document types, themes, and potential gaps. These capabilities ensure the most relevant information moves to the next phase.
Faster Decision Making With ERA
Time is a critical factor during litigation or regulatory matters, especially in jurisdictions with strict deadlines. ECA supports faster decision-making by providing early access to processed and culled data. ECA becomes even more effective when paired with Early Resolution Analysis that uses conversational AI to surface key facts, actors, and patterns. With clearer insight into the situation early on, teams can make informed calls on whether to proceed, settle, or shift strategy — without waiting for full document review or external input.
Whether responding to subpoenas, preparing for depositions, or assessing settlement options, teams using ECA combined with ERA can act decisively, even under tight deadlines.
Scaling Legal Workflows To Address Big Data Challenges
The global nature of data, combined with increased volumes, poses additional challenges for international teams. With ECA that is scalable and accessible worldwide, teams can still maintain efficiency and accuracy. Processing speed is another important factor. With faster processing, teams can adapt to larger, more complex cases without compromising quality. In addition, enhanced workflows help teams maintain consistent global processes. Tools with conversational AI also help teams scale by simplifying data interrogation, reducing the need for senior reviewers to extract insight and allowing faster decisions using fewer resources.
Conclusion
Incorporating Early Case Assessment into legal workflows delivers measurable benefits across litigation, regulatory, and investigative contexts. ECA helps legal teams to manage large datasets, make informed decisions for routine and high-stakes cases by reducing document populations, improving efficiency, and leveraging analytics to prioritize relevant data. With conversational AI, teams can extend ECA through ERA — connecting key facts, patterns, and timelines earlier in the matter. This strengthens strategy before formal legal proceedings begin and positions teams to move faster with greater clarity and control.

Joseph Lin, Vice President, Product Management, Epiq
As Vice President of Product Management at Epiq, Joseph Lin and his team lead the innovation of proprietary products at Epiq, transform ideas into reality, and continue to bring the most effective solutions to the legal industry.
Joseph has a long and positive history with Epiq. He led Epiq’s Operations team globally for 10+ years. As VP of Operations, he integrated multiple acquired companies into one single operating workflow to maximize profitability, led collaboration across global offices to maximize efficiency and effectiveness, and fostered a success-oriented and result-driven environment within his division.
With 20 years of experience in operations management, product management, financial planning, and merger and acquisition, Joseph has developed many skills and experiences in these areas. He is an innovative and effective executive, using his years of experience to define product vision and strategy for Epiq to better support its customers.
The contents of this article are intended to convey general information only and not to provide legal advice or opinions.