Court e-discovery Machine learning 
Percipient
JANUARY 20, 2025
Machine Learning Machine learning helps AI get smarter and more effective over time by learning from historical data. For instance, machine learning can predict litigation risks based on similar cases, identify trends that might impact a client, or flag unusual clauses in contracts that might need extra attention.
Percipient
FEBRUARY 5, 2025
While its often used in litigation, its just as useful for managing contracts and handling other legal tasks outside of court cases. TAR uses machine learning and software to categorize and prioritize documents, and the goal is to help law firms sift through large volumes of data more efficiently. Absolutely.
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Legal Talk Network
AUGUST 15, 2023
Cut Down on Discovery Time Sifting through discovery is a big undertaking, with most cases taking at least several months to complete. The need to respond quickly to discovery requests promptly adds even more pressure. How you carry yourself in court and appeal to the jury’s emotions is something only a human can do.
MatterSuite
OCTOBER 27, 2023
E-discovery solutions , a significant part of legal tech, were estimated to be a multi-billion-dollar industry. The global e-discovery market size was projected to reach $17.32 Predictive Analytics: Machine learning algorithms examine historical case data to predict legal outcomes.
Law Technology Today
APRIL 13, 2023
Public access to court data through automated collection of online court records is a fundamental First Amendment right and it is critical to meaningful access to the United States legal system. The recent ruling in South Carolina State Conference of the NAACP v.
CaseFox
JULY 25, 2023
E-Discovery and Digital Forensics: Electronic discovery (e-discovery) has become a crucial aspect of modern litigation. Advanced e-discovery tools and software help lawyers sift through this data, identifying relevant evidence, and streamlining the discovery process.
Bigfork Tech
APRIL 19, 2023
Lawyers perform a range of duties that require human judgement, such as advising clients, negotiating agreements, and appearing in court. For example, e-discovery software, which uses AI to identify relevant documents in large data sets, is now widely used in litigation. How is AI being used in legal currently?
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