KaurMaxwell & Control Risks Use Relativity aiR for Review to Shift Lawyers' Focus from Document Volume to Case Insights

How did they do it?

• Streamlined their review of 700,000 documents to allow senior lawyers to engage earlier with case strategy, risk assessment, and client advice – focusing on key themes legal insight rather than volume
• Replaced linear, keyword-based review with contextual AI-driven prioritisation
• Reduced review hours by approximately 1,300 hours, delivering an estimated £46,000 in direct cost savings

Recognising AI as a Strategic Necessity

KaurMaxwell – a disputes-focused law firm handling complex, data-intensive litigation – teamed up with Relativity partner Control Risks to enhance their document review capabilities using Relativity aiR for Review.

Before implementing aiR, KaurMaxwell relied on linear manual review and keyword searching. Every document within the review population was assessed individually for relevance – regardless of its likelihood of containing substantive material.

This approach created significant challenges:

• High resource demands across large data sets
• Reviewer fatigue and potential inconsistency in tagging
• Overly broad or overly narrow keyword searches
• Delayed identification of key themes and factual patterns
• Limited scalability under court-imposed deadlines

As matters increased in size and complexity – including document populations spanning decades and multiple custodians – the limitations of traditional review workflows became increasingly apparent. Relativity aiR for Review presented the opportunity to address them.

The Turning Point: A High-Volume, High-Complexity Matter

The decision to deploy aiR for Review arose during a particularly complex matter involving approximately 700,000 documents in early case assessment, with 350,000 responsive documents requiring review.

Facing tight disclosure deadlines, KaurMaxwell required a solution that would provide early insight while controlling review costs.

Control Risks proposed aiR for Review. Because the technology is fully integrated into RelativityOne, deployment was seamless – requiring only minimal upskilling for the review team.

The team used the solution to assess their documents and categorize them based on the tool’s relevance rankings. They were then able to use these categories to strategically funnel material into different workstreams including second level quality control by reviewers, prioritized review queues for additional assessment, or removal all together.

This strategic approach streamlined their start-to-finish review process and greatly accelerated time to results.

The impact was immediate. Senior lawyers gained visibility into key themes far earlier than under traditional linear review, while simultaneously reducing downstream burden.

“Relativity aiR for Review offered the ability to surface key themes, issues, and relevant documents at an early stage, materially reducing the volume of documents requiring manual review and allowing the team to focus effort where it added the most value.”
Maria Madara, Associate, KaurMaxwell

From Document Volume to Strategic Insight

With guidance from Control Risks, KaurMaxwell redesigned their litigation review model using Relativity aiR for Review and Relativity Review Centre. The result was a shift away from volume-driven document management toward an insight-led approach to disclosure and case analysis. Prioritisation of relevant material and statistically validated workflows enabled the team to review more documents per hour while maintaining defensibility and proportionality. This approach delivered measurable efficiency gains:

• Tens of thousands of documents excluded and ~1,300 reviewer hours saved through use of AI-powered tools and validation
• Estimated £46,000 in direct reviewer cost savings
• Accelerated identification of key themes and critical evidence early in the review cycle
• 100,000 documents successfully produced to meet a truncated disclosure deadline

Control Risks also provided strategic advisory support throughout the process, modelling review rates, relevance scoring, and disclosure planning to help guide execution rather than simply managing infrastructure.

Most importantly, the streamlined workflow allowed senior lawyers to engage earlier with case strategy, risk assessment, and client advice – focusing on legal insight rather than document volume.

Looking Ahead: AI-Enabled Review as Standard Practice

As data volumes grow and court expectations around proportionality increase, traditional linear review models become increasingly difficult to justify.

Through their partnership with Control Risks, KaurMaxwell implemented a scalable, defensible AI-assisted review model that demonstrably reduces review volume, lowers direct reviewer spend, and accelerates time to insight. This approach aligns seamlessly with modern litigation and disclosure expectations.

Rather than replacing legal expertise, Relativity aiR for Review enabled KaurMaxwell to apply it where it matters most – focusing legal judgment on higher-value analysis and decision-making.

Following the success of this matter, the firm now views AI-assisted review as an integral component of their future litigation strategy. With contextual AI, statistical validation, and integrated workflows operating within a single platform, KaurMaxwell is well positioned to manage increasingly complex disputes with greater efficiency, defensibility, and strategic clarity.

“At Control Risks, we’re seeing how aiR for Review is transforming large-scale document review. As our client Kaur Maxwell puts it: “aiR for Review has fundamentally changed what’s possible. We’ve reduced reviewer hours, lowered costs, and significantly shortened turnaround times — all without sacrificing accuracy. The gains aren’t marginal, they’re transformational.”
Charles Simpson, Director, Discovery+Data Insights EMEA, Control Risks