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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.
The General DataProtection Regulation prescribes a time limit to keep certain data us regs require that to be kept for for a different period of time, certain standards regarding customer data, employee data, so they can be quite conflicting. When that happens, the level of dataprotection exponentially recedes.
Through machinelearning algorithms, AI can detect patterns and correlations in substantial datasets that may elude human analysis, offering critical insights. This ground-breaking fusion of natural language processing and machinelearning aids firms with contract analysis, due diligence, and regulatory compliance.
The General DataProtection Regulation prescribes a time limit to keep certain data us regs require that to be kept for for a different period of time, certain standards regarding customer data, employee data, so they can be quite conflicting. When that happens, the level of dataprotection exponentially recedes.
He’s an expert in AI, machinelearning, and software development. Ask personas to provide insights or examples from historical or real-world events that mirror the current situation. In addition to his teaching roles, he regularly delivers keynote speeches at prestigious events. Historical Lens. Future Forecasting.
He’s an expert in AI, machinelearning, and software development. Ask personas to provide insights or examples from historical or real-world events that mirror the current situation. In addition to his teaching roles, he regularly delivers keynote speeches at prestigious events. Historical Lens. Future Forecasting.
This is a live blog post; I publish as the event finishes. We did not anticipate the coming of the web or machinelearning. That has moved from programmed systems to ones that learn from massive data volumes and huge computing power. How can law firms square privacy and dataprotection with more data analytics?
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