Our Thinking

Relativity Server's planned 2028 sunset makes the move to Relativity aiR unavoidable, but the deadline shouldn't define the ambition. Control Risks explains how legal teams can use the moment to rethink their technology, data and service model, and shift from taking orders to shaping the decisions that create value.

Generative AI is accelerating eDiscovery, but choosing the right deployment model depends on the specifics of the matter. From cloud to hybrid and closed-loop environments, this article explores how legal teams can balance speed, innovation, data sensitivity and regulatory risk through a context-led approach.

Where your data lives isn't just a technical consideration, but a strategic decision. This article explores how uncertainty around data location creates legal, regulatory and operational risk, particularly during investigations and regulatory response when clarity is critical for speed, compliance and decision-making.

Becoming AI ready is not simply a data engineering task but a coordination challenge that requires clarity on what data exists, how it is defined and how it is used. Without alignment around it, even advanced AI initiatives risk producing false confidence rather than reliable insight.

Technology only works if people actually use it – and making that happen is as much about human systems as it is about digital ones. In fact, behavioral and organizational factors, most significantly leadership support and cultural readiness, explain more variance in actual adoption than technical features alone.

Organizations often attempt to cut corners through self-collection, only to incur significantly higher costs later on. The trouble is that exported data is not the same thing as reviewable, defensible evidence.

Where leaders see compliance only as risk insurance or a bottleneck, investment flows elsewhere. When they understand how better workflows and actionable analytics can enable growth, inform decisions and solve business problems faster, the conversation changes.

When a global FinTech company faced mounting litigation and regulatory scrutiny, they turned to Control Risks for fully managed eDiscovery services. Leveraging RelativityOne and our custom development capabilities, we helped streamline workflows, reduce costs, and meet aggressive deadlines, all while maintaining defensibility and transparency.

Our experts help scaling firms ensure compliance across global operational footprints and manage data and cyber security at every level.

Remotely collect, process, and review targeted mobile and messaging data in RelativityOne with Control Risks’ automated, AI-powered integration.

A global law firm partnered with Control Risks to trace misappropriated funds in a multi-faceted investigation. Using aiR Review they uncovered key evidence and connections in a complex case of financial irregularity.

The digital evidence landscape has undergone significant changes. Legal teams face a surge in data volume and variety that requires they refine their approach to data collection. In this article, our experts explore the evolving landscape.

In complex litigation, manual document review alone can result in misclassified evidence, often due to human error. Control Risks addressed the challenge by designing a targeted AI solution to detect and correct classification errors.

A multinational corporation worked alongside Control Risks’ Discovery + Data Insights and Investigations teams to investigate serious board-level allegations. Using Relativity aiR’s RelativityOne with aiR for Review, they moved from a 275,000-document dataset to actionable findings within a strict two-week deadline.

With Control Risks, Paul Weiss's investigations team used generative artificial intelligence to successfully review 120,000 documents in just three weeks.

Delays in meeting regulatory deadlines could trigger compliance penalties and increased exposure. Here’s how our expert team helped a multinational corporation discover over a million customer support tickets within two months with our custom eDiscovery solutions.

This article from LegalTech News explores where AI creates real value, what concerns remain and how legal teams are overcoming objections.

The modern eDiscovery landscape calls for a rethink of how legal and compliance teams traditionally collect, process, review, and analyse high volumes of data. To stay competitive, legal teams must prioritise customisable solutions.

Rapid advancements in tech, including AI, raise key questions for fraud investigations. Chiefly, what role should traditional human expertise play? The sensible approach is one of balance, neither abandoning traditional methods nor over-relying on these at the expense of innovation; it is a collaboration between the two.

Counterfeit products surge in the EU as digitalisation fuels organised networks with advanced supply chains. Companies must address this growing threat.