Artificial intelligence continues to reshape the eDiscovery landscape, but technology alone does not guarantee success. The most effective AI review projects combine advanced tools with experienced legal and technical professionals who know how to apply them strategically.
Recently, Trustpoint.One partnered with a Fortune 100 client facing a significant discovery challenge and an aggressive production deadline. What began as a universe of more than 200,000 documents became a powerful example of how the right methodology, combined with the right expertise, can dramatically accelerate review while maintaining quality and defensibility.
Trustpoint AI Team
Trustpoint AI Specialist, Review Consultant and four document review attorneys. If we had not leveraged Generative AI Review, we would have needed a very large document review team.
The Challenge
The client needed to quickly identify responsive documents in a complex commercial litigation matter while ensuring accuracy, consistency, and defensibility. Following an initial review phase, approximately 100,000 documents were selected for analysis using Relativity aiR.
The goal was clear: deliver a high-confidence production set in a fraction of the time required by traditional review methods.
The Trustpoint.One Advantage
Rather than treating AI as a standalone solution, our team applied a proven, structured workflow designed to maximize the effectiveness of generative AI review.
Strategic Data Preparation
Before any large-scale AI analysis began, Trustpoint.One performed a comprehensive curation process that included document quality validation, content normalization, and data segmentation. By ensuring AI analyzed high-quality, organized content, we significantly reduced noise and improved review efficiency from the outset.
Expert-Led Prompt Engineering
Successful AI review requires more than simply entering prompts. Trustpoint.One’s AI specialists and review professionals worked closely with counsel to translate legal theories, case strategy, and responsiveness criteria into precise, defensible instructions for the AI platform.
Through a disciplined process of testing, refinement, validation, and attorney oversight, our team continuously optimized prompts and workflows to improve accuracy and consistency.
Importantly, legal judgment remained where it belongs—with counsel. Trustpoint.One served as a force multiplier, enabling attorneys to focus on case strategy and advocacy while our experts managed the technical execution of the AI review process.
The Results
The outcome demonstrated the power of combining experienced professionals with advanced technology:
✔ Reduced a 100,000-document AI review population to a final production set of fewer than 20,000 documents
✔ Generated a privilege log containing more than 3,200 entries
✔ Delivered results in days rather than months
✔ Produced a defensible, high-confidence outcome that met the client’s demanding timeline
✔ Saved our client over $100,000 in eDiscovery cost.
Why It Matters
Organizations that struggle with AI review often focus exclusively on the technology. In reality, the greatest value comes from pairing leading AI platforms with professionals who understand legal workflows, review methodology, quality control, and prompt optimization.
At Trustpoint.One, we believe AI is most powerful when it enhances human expertise—not replaces it. By combining experienced review teams, proven workflows, and cutting-edge technology, we help clients achieve faster, more accurate, and more defensible outcomes.
The future of eDiscovery isn’t just AI. It’s AI guided by experts who know how to turn technology into results.
Frequently Asked Questions
What is AI-powered document review in eDiscovery?
AI-powered document review uses artificial intelligence to analyze, classify, and prioritize large volumes of documents during discovery. When combined with experienced legal and technical professionals, it can accelerate review while supporting accuracy, consistency, and defensibility.”
How did Trustpoint.One use generative AI to accelerate document review?
Trustpoint.One used Relativity aiR to analyze approximately 100,000 documents after an initial review and comprehensive data-curation process. AI specialists, review consultants, and document review attorneys worked together to develop prompts, validate results, and optimize the workflow.
Why is data preparation important before using generative AI for document review?
High-quality data helps reduce noise and improve the efficiency of AI analysis. Trustpoint.One curated the review population through document quality validation, content normalization, and data segmentation before applying large-scale AI review.
What role does prompt engineering play in AI-assisted eDiscovery?
Effective prompt engineering translates legal theories, case strategy, and responsiveness criteria into precise instructions that an AI platform can apply consistently. Trustpoint.One’s AI specialists and review professionals tested, refined, and validated prompts while maintaining attorney oversight throughout the workflow.
Can AI replace attorneys in eDiscovery review?
AI can significantly reduce the amount of manual document review required, but it does not replace legal judgment. Attorneys remain responsible for interpreting legal standards, making strategic decisions, overseeing validation, and ensuring that the resulting production is defensible.