Data protection Legal technology Machine learning 
Martindale-Avvo
MARCH 19, 2024
Artificial intelligence (AI) is the replication of human intelligence by machines to perform work commonly done by people. AI systems use a combination of large amounts of data and a set of sophisticated algorithms that classify, analyze, and take desired actions.
Martindale-Avvo
MARCH 19, 2024
Artificial intelligence (AI) is the replication of human intelligence by machines to perform work commonly done by people. AI systems use a combination of large amounts of data and a set of sophisticated algorithms that classify, analyze, and take desired actions.
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CloudNine
JANUARY 10, 2024
By Rick Clark and Jacob Hesse 2023 was an eventful year in the world of legal technology, with new technology emerging to address both traditional and new challenges legal teams face when collecting, processing, and reviewing data for litigation, investigations, or public access requests.
MatterSuite
OCTOBER 27, 2023
These technological advancements are not only changing the way legal professionals operate but are also enhancing accessibility to legal services. This analyzes vast legal databases and provides attorneys with relevant case law, statutes, and legal precedents.
Lawmatics
JANUARY 23, 2024
AI is increasingly being used in the legal industry to streamline processes, enhance efficiency, and provide valuable insights. Advanced algorithms can quickly analyze vast legal information databases, statutes, and case law to provide relevant and up-to-date information.
Lineal Services
JULY 27, 2023
Legal teams must traverse a complex web of laws and norms, which can significantly affect how eDiscovery is carried out. Does it include analytical features like machine learning, predictive coding, and technology-assisted review (TAR)? Consider the regulatory context in which you work.
Lineal Services
JULY 27, 2023
Legal teams must traverse a complex web of laws and norms, which can significantly affect how eDiscovery is carried out. Does it include analytical features like machine learning, predictive coding, and technology-assisted review (TAR)? Consider the regulatory context in which you work.
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