OpenText

NOVEMBER 15, 2024

Faster, smarter decisions in litigation and investigations. OpenText™ is proud to be named a Leader and Outperformer in the latest GigaOm Radar Report for E-Discovery. Legal teams are under increasing pressure to deliver timely and defensible responses to litigation and regulatory demands. The result?

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e-discovery Machine learning e-filing Electronic discovery 64

Clio

JUNE 13, 2024

In today’s digital age, the role of the e-discovery lawyer is increasingly important. Attorneys who specialize in e-discovery ensure information relevant to legal matters is carefully preserved, reviewed, and produced in compliance with regulations. What is e-discovery in law?

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Attorney at Work

JANUARY 31, 2022

For example, cross-border litigation is now widespread as global commerce increases. Consequently, as more corporations operate in more countries, the potential of litigation over patent infringements, copyright violations, and product liability rises. Multilingual E-Discovery . What data is relevant to a case?

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Percipient

MARCH 10, 2022

” While ECA is often associated with electronic discovery and the early analysis of electronically stored information (ESI), its scope should not be so limited. One of the main purposes of assessing and evaluating e-discovery aspects of a legal matter early is to gauge the time, money, and resources it will involve.

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CaseFox

JULY 25, 2023

Legal Research and Data Analytics: Gone are the days of poring over endless law books and case files in dusty libraries. Cloud-based storage solutions offer secure and scalable platforms for storing sensitive client data, case files, and legal documents. This enables attorneys to work together in real-time on documents and case files.

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Lawmatics

DECEMBER 27, 2023

2 eDiscovery Electronic discovery (eDiscovery) tools continue to evolve, enabling legal professionals to manage large volumes of electronic data more efficiently during investigations and the discovery phase of litigation.

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Legal technology Legal technology Dispute resolution Machine learning 52