In the first week, we outlined the three steps for strategically leveraging AI in your litigation or investigation – understanding your data, conducting a RAPID Review, and building your case for trial. Last week, we took a deeper dive into your data. This week, we’ll discuss RAPID Review and the importance of starting with your relevant dataset.
As legal teams face growing volumes of digital evidence, the need for efficient, faster, and more strategic eDiscovery has never been greater. RAPID Review offers a transformative approach to document review, validation, and litigation strategy. UnitedLex combines automation with human oversight, proven processes, and agentic workflows to streamline the entire litigation lifecycle. Using our attorneys, AI-consultants, and technical experts, we work with you to keep your legal judgment front and center while efficiently moving through your dataset.
Start with Your Responsive Set, Verify, and Fast-Track
Utilizing Continuous Active Learning (CAL) and/or GenAI, we verify and fast-track your responsive set eliminating the need for eyes-on, first pass review. This enables you and your teams to move quickly into secondary workflows, allowing you to identify hot documents, establish timelines, and protect sensitive content.
Once high-relevance clusters are identified, the review process begins with the most impactful documents. This prioritization ensures that legal teams spend time where it matters most.
- Cluster-Based Prioritization: AI ranks document clusters by relevance, allowing reviewers to focus on the most critical content first.
- Agent-Driven Review Management: Autonomous agents handle batching, tagging, and routing of documents. They ensure that workflows are efficient and consistent, while human reviewers oversee sampling and quality checks to maintain accuracy.
This hybrid model accelerates review timelines without compromising precision, making it ideal for tight deadlines or high stakes matters.
Even with advanced automation, human validation remains essential. Our teams support this by enhancing quality control and triggering key workflows.
- Human-in-the-Loop Validation: Legal professionals remain responsible for final privilege calls, responsiveness decisions, and strategic oversight.
- Automated Quality Control: AI flags inconsistencies, tracks review metrics, and identifies anomalies in tagging. It can also initiate secondary workflows such as redaction or privilege tagging, reducing manual effort and ensuring compliance.
This dual-layered approach ensures that nothing slips through the cracks while maintaining speed and scalability.
Additionally, UnitedLex uses three proprietary methods to protect your data through secondary workflows:
- PrivShield offers unmatched flexibility by allowing case and client specific privilege terms to be added seamlessly. With dedicated privilege repositories and knowledge management, teams can build institutional memory while reducing risk. Automated processes eliminate false hits, capture common misspellings, and resolve issues with extracted text, while analytics-based consistency checks ensure privilege determinations remain uniform across documents.
- RedactShield elevates redaction to a new standard with best-in-class native redaction technology. Its single instance review capability propagates redactions across MD5 duplicates, saving time and ensuring accuracy. Quality control is enhanced through Relativity Analytics and custom scripts that reconcile coding and redaction choices. Automation further strengthens the process by identifying sensitive data, removing false positives, and correcting extracted text issues.
- ProdShield delivers validated quality assurance aligned with procedural rules and case protocols. Substantive quality checks address specific requirements, while analytics driven workflows guarantee consistency across email threads, duplicates, and near duplicates. Together, these shields form a comprehensive framework that transforms secondary review into a strategic, technology driven safeguard — protecting sensitive content while enhancing efficiency and defensibility.
Strategically combining all these processes allows each phase of the review to become smarter and more focused. As a result, you will have accelerated insights without sacrificing quality.
Production Checks & Finalization
The final phase of litigation, production, is often fraught with risk. Ensuring completeness, accuracy, and privilege protection is essential. Here, AI provides robust support.
- Version control is automated, ensuring the latest and correct versions of documents are included.
- Completeness verification checks for missing files, broken links, or gaps in metadata.
- Privilege logging is managed intelligently, flagging sensitive content and maintaining defensible records.
While AI handles the heavy lifting, human oversight remains essential. Final review and sign-off ensure that production meets legal standards and withstands scrutiny. The combination of automation and expert judgment delivers both efficiency and defensibility.
Iterate with Intelligence, ALWAYS Keeping Humans in the Loop
eDdiscovery isn’t just about finding documents, it’s about shaping strategy. Insights gained during review can guide litigation decisions and resource allocation.
- Strategic Insight Generation: Agentic models surface evolving themes, shifts in narrative, and key leverage points. These insights help legal teams assess risk, refine arguments, and decide whether to settle or litigate.
- Resource Optimization: By identifying the most impactful document sets, AI helps teams direct time and budget toward what matters most, whether that’s deeper review, expert analysis, or trial preparation.
This intelligence-driven iteration turns e-discovery into a strategic asset, not just a compliance task.
While AI amplifies efficiency and insight, it doesn’t replace human judgment. Legal professionals remain at the helm, guiding decisions and validating outcomes.
- Amplification, Not Replacement: AI supports lawyers by handling repetitive tasks and surfacing insights, but final calls, especially around privilege, responsiveness, and strategy, are always made by humans.
- Ethical and Legal Responsibility: Lawyers are accountable for the integrity of the review process. AI systems are tools, not decision-makers.
By keeping humans in the loop, legal teams ensure that technology enhances, not overrides, their expertise.
AI is reshaping eDiscovery by combining automation with strategic intelligence. From prioritizing responsive documents to surfacing litigation insights, these systems streamline workflows while preserving the critical role of human judgment. The result is a faster, smarter, and more defensible approach to legal discovery — one that empowers teams to focus on what truly matters.
Want to learn more? Next week, we’ll be diving into building your case.
