How Paradigm Used Reveal to Dramatically Increase Review Efficiency & Accuracy

About Paradigm

Paradigm is an eDiscovery solutions delivery practice that provides law firms and corporate legal departments with technology solutions including information governance, data preservation, forensic data collection, investigations, data processing, data hosting, document review, and document productions. Paradigm uses a proprietary eDiscovery workflow solution that it has perfected since 2009.

Problem Statement

This specific case study references a legal matter that included a large volume of documents (3.7 million in one case). Cases of this size can present their own unique challenges and are often time-consuming in terms of document review. Without a tool that provides both modern data filtering and document scoring capabilities, de-prioritizing low-value data can be difficult. Organizing documents for review becomes a manual intensive process to manage, especially with more complex cases such as this.

In addition, building a successful workflow to create and train AI Models to score documents effectively, can often require significant expertise and accurate training data. Designing AI Models to identify specific concepts like change orders or potential coercion can also require specific subject matter expertise that may not be available to you when you need them. Case-specific knowledge including a deep understanding of the nuances of individual cases, such as the Hurricane Sandy recovery program or the Huck consulting project, is crucial for effective analysis and model curation.

How Reveal was used to Address Challenges

• Document Filtering & Scoring: Reveal can help filter out irrelevant documents using pre-built models or custom criteria. It can also score documents based on their relevance to specific search terms or concepts.

• AI Model Building & Training: Reveal can be used to create and train custom models to identify specific wrongdoing or events, such as finding change orders or potential coercion.

• Document Organization & Analysis: Reveal can help organize large document sets, making it easier to navigate and analyze them.

• Concept Search and Data Visualizations: Reveal’s concept search features can help identify related documents including uncovering hidden terms. Reveal also provides you with interactive visualizations which enable you to rapidly explore potential connections between different pieces of information.

• Collaboration and Workflow: Reveal can facilitate collaboration among team members, allowing them to work together on the same documents and share insights discovered.

The ROI Results of using Reveal

By providing the ability to automate tasks such as document filtering and scoring, Reveal significantly improved team efficiency and reduced the time spent on manual review. Reveal’s pre-built AI models helped identify relevant documents more accurately, reducing the risk of missing important information. By providing a centralized platform for document review and analysis, Reveal significantly improved collaboration among team members and facilitated knowledge sharing. Reveal’s concept search and data visualization capabilities helped our teams gain a deeper understanding of the case in less time. Finally, by streamlining the review process and uncovering valuable insights, Reveal helped our teams achieve better outcomes for this case, as well as other legal matters, managed by our firm.

1. Increased Team Efficiency
2. Improved Accuracy
3. Achieved Better Legal Outcomes