AI-Powered Analysis & Intelligence

Applying advanced AI and machine learning analytics to identify patterns, establish predictive and causal relationships, and surface risk signals across complex data environments.

Our AI-Powered Analysis & Intelligence services help clients harness artificial intelligence (AI) and machine learning to tackle large, complex datasets and make quick and confident decisions that withstand regulatory and legal scrutiny. We combine advanced analytics with deep experience and expertise in disputes, compliance, and economics to deliver insight, efficiency, and defensibility in high-volume, high-stakes environments. Our approach is scenario driven: we are vendor, platform, and technology agnostic.

Core Uses

Intelligent Litigation & Investigation Analytics. Augment discovery, investigations, and regulatory response with AI techniques that identify relationships, patterns, and risk signals across large data environments. By enhancing document review, communication analysis, and entity extraction, we help clients find critical evidence faster and uncover insights in vast, complex datasets while ensuring results remain transparent and defensible.
Advanced Economic & Damages Modeling. Use sophisticated econometric analysis and advanced machine learning algorithms to understand causal relationships, quantify economic damages, and support expert testimony. These techniques bring data-driven rigor to financial and economic aspects of disputes and litigation, enabling robust and credible expert analysis.
AI-Enhanced Compliance & Monitoring Analytics. Evaluate and strengthen compliance by detecting anomalies and patterns in transactions and communications. Through techniques like behavioral modeling and outlier detection, we help organizations proactively spot suspicious activities, test the effectiveness of controls, and respond to emerging risks, improving oversight efficiency and reducing compliance costs.

Experience and Impact

BRG’s track record in AI-powered analytics spans complex, multijurisdictional matters with massive data volumes, multiple stakeholders, and intense regulatory scrutiny. Our team includes expert economists, data scientists, eDiscovery specialists, and industry experts with advanced degrees in economics/econometrics, machine learning, and statistics. We bring decades of experience in litigation, investigations, and compliance engagements, applying our capabilities in antitrust cases, securities investigations, healthcare compliance reviews, and multiparty litigation involving government agencies.

$3M

saved in document review costs for a major antitrust litigation by using AI-driven review models
30%

increase in review efficiency achieved through AI-based document clustering and prioritization, compared to traditional review methods

Our focus on responsible, effective use of AI has delivered tangible benefits to clients. In a large-scale document review for an antitrust matter, BRG’s privilege detection models enabled attorneys to review tens of thousands of documents and safely produce millions of pages of evidence, resulting in over $3 million in cost savings. In other cases, our advanced clustering and predictive coding techniques improved review efficiency by more than 30 percent versus traditional methods, accelerating case timelines and reducing burdens on legal teams. Beyond cost and time savings, our commitment to transparency and governance ensures every analytical result is explainable and defensible.

In economics and econometrics, advanced analytics and machine learning have long been core tools of the discipline. Recent advances in AI build on this foundation by expanding economists’ ability to work with larger, more complex datasets and extract economic insight from data with rigor or transparency.

At BRG, AI is applied as an extension of expert judgment, supporting tasks such as data exploration, hypothesis testing, predictive analytics, causal inference, and structured critique of assumptions and results. These capabilities enhance efficiency and analytical depth while maintaining the clear methodologies, documented reasoning, and explainability required in litigation, regulatory, and policy settings.