Analytics Data protection Machine learning 
Lineal Services
AUGUST 11, 2023
Learn how to improve legal outcomes as you tackle the challenges of acquiring electronic evidence and understand the disruptive effects of AI and machine learning on eDiscovery. These include text analytics, predictive coding, data mining, and computer-assisted review.
Legal IT Group
APRIL 2, 2025
Definition of personal data 1.2. Rights of data subjects 1.4. Privacy concepts and roles Technologies, most impacting on privacy and data protection 2.1. Social media advertising, based on personal data 2.2. PRIVACY PROTECTION IN THE MODERN WORLD 1.1. Such an identifier is personal data.
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CloudNine
JANUARY 10, 2024
Automation and advanced analytics, including machine learning, smart filtering, and integration with predictive coding technology will continue to grow. The General Data Protection Regulation (GDPR) is an early example of this. This may be especially true for data that crosses national borders.
MatterSuite
OCTOBER 27, 2023
Here are some of the key technologies shaping the legal industry: Artificial Intelligence (AI) and Machine Learning Legal Research: AI-powered platforms, like ROSS, use natural language processing (NLP) and machine learning. It does the work more quickly and accurately than traditional research methods.
Lawmatics
JANUARY 23, 2024
Contract analysis: AI technologies, including natural language processing (NLP) and machine learning, are used to analyze and review contracts to identify key terms and potential risks and help ensure compliance. Legal analytics: AI-driven legal analytics tools provide insights into trends, precedents, and the behavior of judges.
Lineal Services
JULY 27, 2023
These include data protection laws that dictate how personal data must be kept, rules of civil procedure that control the discovery process, and industry-specific regulations that impose extra data management responsibilities. The service’s search and analytical skills should also be assessed.
Lineal Services
JULY 27, 2023
These include data protection laws that dictate how personal data must be kept, rules of civil procedure that control the discovery process, and industry-specific regulations that impose extra data management responsibilities. The service’s search and analytical skills should also be assessed.
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