AI & Machine Learning Services
When facing an investigation or legal dispute, companies and law firms must quickly collect, manage, and understand facts across complex data sources. Artificial intelligence and machine learning can significantly improve efficiency and speed decision-making when applied with expert judgment, disciplined process, and transparency. ​
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Dispute Analysis Group takes a consultative, non-black-box approach to AI and machine learning. We continuously evaluate emerging technologies, methodologies, and platforms to determine where they deliver defensible, measurable value. Rather than forcing technology onto the problem, we start by understanding the matter, the data, and the legal objectives, then apply the right combination of tools and expertise.
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By combining explainable AI, advanced analytics, and workflow automation with proven eDiscovery and investigative methodologies, our teams increase efficiency, surface critical facts, identify patterns and risks, and deliver defensible insights that support strategy throughout the matter lifecycle.
Our Services
Solutions designed around powerful, expert-driven technologies and advanced AI tools that support faster business-critical decision making and deliver cost-effective, defensible results.
Data Triage
Our consultants assist organizations with classification and prioritization of data sets. Triage can be used for filtering, prioritizing document types of interest like contracts,, and for routing documents requiring special handling for things like foreign language translation, image labeling, and audio transcription.
Key Evidence Mining
Our consultants leverage advanced data culling techniques, multiple AI, machine learning and search methodologies, and investigative experience to target key evidence. The process yields, targeted, high-value document sets that guide strategy, reduce review volumes, and improve the understanding of relevant topics throughout the case.
Predictive Review
Our predictive review workflow leverages a top-down approach focused on developing a clear understanding of relevance for model training and validation. Our approach has been accepted by regulatory agencies and follows a systematic, statistically validated, documented and explainable process.
Early Case Assessment
Understanding the scope, projected costs, and potential risks of discovery can play a critical role in an early case assessment. Our solutions evaluate methods for reducing the overall scope of discovery, provide data points for budgeting, and surface information critical to understanding the merits of the case.
Deposition Support
When matters involve multiple depositions across several deponents, our team leverages advanced Generative AI tools to analyze testimony at scale. We identify, summarize, and directly quote testimony relevant to key claims, enabling the efficient preparation of narrative reports and consolidated summaries of critical topics and exhibits addressed during the depositions.
Chronology Development
Once key documents and topics are identified, our team applies advanced Generative AI tools to systematically summarize material facts, draft detailed chronologies, and draft narrative summaries that support case strategy and analysis.