e-discovery e-records Machine learning 
LawSites
FEBRUARY 25, 2022
A product launched this week claims to be the fastest search and review platform in legal for matters involving large document collections — discovery, investigations and compliance — and the first to seamlessly combine keyword and algorithmic search. While these claims might seem audacious, they come from a team with a proven track record.
Percipient
FEBRUARY 5, 2025
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. More specifically, AI helps by: Processing data faster: AI tackles even the largest datasets in record time so teams stay on track for tight deadlines. 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. Keep Up Effortlessly Nobody could keep up with all of the tech out there on their own, but AI can be helpful.
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.
CaseFox
JUNE 5, 2023
Introduction In today’s digital age, electronic discovery, or eDiscovery, plays a crucial role in the legal process. Technology-Assisted Review (TAR): TAR, also known as predictive coding or machine learning, utilizes advanced algorithms to assist in the document review process.
Legal Tech Blog
DECEMBER 8, 2022
From privacy and compliance to data inventory and discovery operations to cost analysis, legal departments have more to deal with today than ever before. In the case of e-discovery , for example, artificial intelligence is already being leveraged to great effect. These strains are not expected to ease soon – rather the opposite.
LawSites
JANUARY 23, 2023
This helps avoid mistakes and delays in the deposition and by speeding up the process, effectively gives lawyers more time on the record to ask questions. What’s unique is that we treat certain information differently – so we capture contacts as contact records (so we can sync them on to other tools).
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