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


TYSONS, Virginia, June 16, 2021 / PRNewswire / – Case point, a leader in cloud-based legal technology solutions, today announced that its AI and advanced analytics technology, called CaseAssist, has been significantly enhanced to give users more information and control over the scanning process with enhanced visualization capabilities and configuration templates. The enhancements to CaseAssist come at a pivotal time for analysis in the legal profession. A recent LexisNexis to study finds that 70% of law firms now use analytics for both legal practice and legal matters, 98% report legal analytics has improved their firm’s performance, and 92% plan to increase their use of analytics over the next 12 months.

Predictions generated by Casepoint’s CaseAssist technology in eDiscovery, surveys and other document intensive review projects eliminate the need for users to review documents that are almost certainly irrelevant, saving thousands of dollars in review time. With CaseAssist Active Learning (CAL), users can choose to train one or more models without any sample set requirement and CaseAssist will ensure that relevant documents are prioritized for review. Whether your use case involves sowing an algorithm with known relevant examples or from a complete blank slate, CaseAssist will quickly separate the wheat from the chaff.

Casepoint’s Dynamic Batch Review workflow integrates seamlessly with CaseAssist to easily transition from prioritization to linear review. by Casepoint patented AI technology provides users with faster relevance predictions with extremely high levels of accuracy and quickly identifies connections between people, documents, dates, and terms. Casepoint speeds up the preview up to 83%. For example, a complainant company used advanced analytics to collect data in a case involving a group of commercial airlines.

“At Casepoint, we don’t think of AI as ‘nice to have’ – rather it’s an essential part of our technology,” said Vishal Rajpara, co-founder and CTO at Casepoint. “Increasingly, law firms and legal departments recognize that the use of analytics can increase competitiveness, efficiency and knowledge in a wide range of activities, including case strategy, early case assessment, litigation or settlement decisions, and more. Human-centered design approach being developed with the goal of making advanced eDiscovery solutions accessible to users of all technological abilities. It’s part of our commitment to continuous innovation so that we can respond quickly to the business needs and rapidly evolving use cases of our customers. “

by Casepoint advanced analysis provide powerful data visualizations, communication analysis, charts, concept search, topic grouping, email discussion thread, and near-similarity / nearly fooled detection. In addition to guiding the user through the often complex workflow of advanced analysis, Casepoint’s CaseAssist Active Learning uses active learning based on user input to continuously predict and categorize unrevised documents. CaseAssist Active Learning supports full verification, accuracy, recall, and F measurement 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, survey analysis, exam 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 is constantly learning from the decisions and behavior of its users, translating that insight into actionable insights and recommendations. Casepoint’s patented AI technology helps litigators improve how they perform critical tasks such as:

  • Better understand the data involved in legal matters 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.
  • Enable 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 it: 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 sarti, Head of Litigation Support at Robbins Russell. “While timeline analysis and sender / recipient analysis are probably the most popular features for our teams, we also use Casepoint analyzes to do things like spot gaps by date or file type in the file. content loaded, determine data volumes by individual custodian, identify odd file types, and identify sender and receiver domains to bulk identify documents that are unlikely to be relevant for initial or early review. Because CaseAssist is so easy to learn, more of our lawyers are using it themselves. Additionally, the use cases are virtually limitless, which is why adoption continues to increase across the enterprise. “

For more information visit Casepoint AI and advanced analytics

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

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SOURCE Casepoint, LLC

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