Generative AI accelerates document review for regulatory response
KordaMentha enabled a government organisation to meet a tight regulatory deadline by deploying AI-powered document review. The solution reduced manual effort by 80% and delivered deeper insights at a fraction of traditional costs.
Faced with a two-week deadline to produce documents for a regulatory body, a government organisation engaged KordaMentha to lead a rapid and defensible eDiscovery process.
The task involved collecting material from multiple sources, understanding the scope of alleged issues, and conducting a targeted review ahead of disclosure.
Traditionally, such exercises require trade-offs between cost, time, and visibility. By leveraging expertise across our group and deploying advanced AI tools, our Forensic Technology team delivered a high-quality review process that met the deadline without compromising rigour or transparency.
How we helped
To manage the growing burden of electronic data review, our team designed a streamlined approach tailored to the client’s constraints. Working with a small group of subject matter experts, we developed a precise prompt for Relativity aiR for Review and applied it across the collected data set.
The AI classified documents against key issues and prioritised them by relevance. Each document was accompanied by a rationale and counter-consideration, offering transparency into the AI’s decision-making and supporting reviewer confidence.
This approach enabled a smaller team of senior reviewers to complete the task efficiently, while maintaining high standards of quality and insight.
- Developed targeted AI prompt with subject matter experts
- Deployed Relativity aiR for Review across diverse data sources
- Prioritised documents by relevance to key issues
- Provided rationale and counter-consideration for each document
- Reduced manual review effort by 80%
- Enabled senior reviewers to focus on high-value insights
Outcomes acheived
- Deadline met with confidence: Delivered a defensible review within two weeks.
- Cost-efficient process: Achieved significant savings compared to traditional workflows.
- 80% reduction in manual effort: Freed up resources for strategic review.
- High-quality insights: Senior reviewers identified key risks and themes.
- Transparent AI decisions: Rationale and counterpoints supported reviewer trust.
- Organisational value beyond scope: Insights informed broader development opportunities.
- Scalable review model: Approach adaptable for future regulatory responses.
- Cross-functional collaboration: Combined forensic, legal, and technology expertise.
