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. Predictive Coding: Based on a collection of training data, this approach uses machine learning algorithms to forecast the relevance of texts.

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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.

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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. These insights assist attorneys in making data-driven decisions.

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LawSites

AUGUST 15, 2022

for advanced client data solutions?at As an example, Nichols told me about a mass tort litigation client who was facing multiple claims being filed by a handful of plaintiffs’ firms, with 75-80 complaints being filed a week and each some 200 pages long. at Hogan Lovells.

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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. Investigating the service’s history of data security and privacy is also important.

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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. Investigating the service’s history of data security and privacy is also important.

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Machine learning Analytics Electronic discovery Data protection 52

Legal Tech Blog

DECEMBER 8, 2022

While these are necessary to help reduce complacency towards internal data protection compliance and ensure organisations actively work to reduce their exposure, it isn’t always easy for companies to align. Data quality is fundamental to this.

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