Casepoint Unveils Latest Iteration of AI and Advanced Analytics Technology, CaseAssist


AI-powered analytics help organizations speed up reviews and investigations.

Tysons, Virginia, June 16, 2021 point casea leader in cloud-based legal technology solutions, today announced that its integrated AI and advanced analytics technology, called CaseAssist, has been significantly upgraded to give users more insight and control over the scanning process with enhanced visualization capabilities and configuration templates. The enhancements to CaseAssist come at a pivotal time for analytics in the legal profession. A recent study by LexisNexis reveals that 70% of law firms now use analytics for legal practice and legal business, 98% say legal analytics has improved their firm’s performance, and 92% plan to improve their practice. increasing their use of analytics over the years. the next 12 months.

Predictions generated by Casepoint’s CaseAssist technology in eDiscovery, investigations and other high-volume document review projects eliminate the need for users to review documents that are almost certain not to be irrelevant, saving thousands of dollars in review time. With CaseAssist Active Learning (CAL), users can choose to train one or more models with no sample set requirement and CaseAssist will ensure relevant documents are prioritized for review. Whether your use case involves seeding an algorithm with known relevant examples or starting from a complete clean slate, CaseAssist will quickly separate the wheat from the chaff.

Casepoint’s dynamic batch review workflow seamlessly integrates with CaseAssist to ease the transition from tiered to linear review. Casepoint’s patented artificial intelligence technology provides users with faster relevance predictions with extremely high levels of accuracy and quickly identifies connections between people, documents, dates and terms. Casepoint accelerates time to insight by up to 83%. For example, a corporate complainant used advanced analytics to extract data from a case involving a group of commercial airlines.

“At Casepoint, we don’t view AI as ‘nice to have’ – rather, it’s a core part of our technology,” said Vishal Rajparaco-founder and chief technology officer at Casepoint. “Increasingly, law firms and legal departments are recognizing that using analytics can increase competitiveness, efficiency and insight across a wide range of activities, including case strategy, early case assessment, litigation or settlement decisions, and more. We take a human-centered design approach to development with the intention of making advanced eDiscovery solutions accessible to users of all technological abilities. It’s all part of our commitment to continuous innovation so that we can respond quickly to the ever-changing business needs and use cases of our customers.

Casepoint’s advanced analytics provide powerful data visualizations, communication analytics, charts, concept searches, topic groupings, email threads, and near-similarity/near-dupe detection. In addition to guiding the user through the often complex workflow of advanced analytics, Casepoint’s CaseAssist Active Learning uses active learning based on user input to continuously predict and classify unreviewed documents. CaseAssist Active Learning supports full verification, accuracy, recall, and F-measure reports. With CaseAssist’s multi-classifier classification feature, users can train the system to identify multiple tags in the same training set . CaseAssist is commonly used in intelligence mining, early data analysis, investigative analysis, review prioritization, and coding validation. CaseAssist also includes chat-guided workflows with natural language interaction and allows users to quickly find key documents by answering simple questions.

CaseAssist constantly learns from the decisions and behavior of its users, translating this information into actionable insights and recommendations. Casepoint’s patented AI technology helps litigants improve how they perform critical tasks such as:

  • Better understand the data involved in legal cases and use that information to drive a smarter eDiscovery process from the start.
  • Improve the document review management process and help legal teams make the most of review resources.
  • Empower stakeholders to make quick strategic decisions on legal matters, save money and achieve better business results.

“CaseAssist has been widely adopted in our firm, and there are good reasons for that: it’s fast, it’s easy, and lawyers know it’s there, so they don’t hesitate to ask or to use it themselves,” said Dana Wesley SartiHead of Litigation Support at Robbins Russell. “While DIY timeline analysis and DIY sender/receiver analysis are probably the most popular features for our teams, we also use Casepoint analysis to do things like spot gaps by date or by file type in uploaded content, determine data volumes by individual custodian, identify odd file types, and identify sender and recipient domains to bulk identify documents that are not susceptible to be relevant for a first or early review. Because CaseAssist is so easy to learn, more of our attorneys are using it themselves. Plus, the use cases are virtually limitless, which is why the Adoption continues to grow across the company.

For more information, visit Casepoint AI and Advanced Analytics

About Casepoint
Trusted by large corporations, government agencies, law firms and legal service providers, Casepoint enables organizations to maximize efficiency and reduce risk through its innovative legal discovery platform. Casepoint’s robust, highly scalable and secure cloud-based legal discovery platform was designed to easily handle increasingly complex litigation, investigations and compliance needs, including cloud collections, processing data, advanced analytics, artificial intelligence, review and production – all in one easy-to-use web interface. The Casepoint platform represents the next generation of legal technology that will enable your organization to increase productivity, efficiency and business results. For more information, visit


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