This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
ICO targets the data broking industry : On 27 October, the ICO demanded that Experian make sweeping changes to dataprotection practices within its direct marketing business within three months or face further enforcement action. We will continue to report on developments as Experian’s appeal progresses.
Learn how to improve legal outcomes as you tackle the challenges of acquiring electronic evidence and understand the disruptive effects of AI and machinelearning on eDiscovery. Predictive Coding: Based on a collection of training data, this approach uses machinelearning algorithms to forecast the relevance of texts.
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.
Here are some of the key technologies shaping the legal industry: Artificial Intelligence (AI) and MachineLearning Legal Research: AI-powered platforms, like ROSS, use natural language processing (NLP) and machinelearning. These insights assist attorneys in making data-driven decisions.
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.
These include dataprotection 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.
These include dataprotection 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.
While these are necessary to help reduce complacency towards internal dataprotection 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.
While much discussion of law firm innovation focuses on technology, such as AI and machinelearning, innovation also encompasses mindsets that encourage openness to ideas, collaboration, and addressing client needs. When evaluating solutions, focus first on robust security measures and dataprotection.
E-Discovery and Digital Forensics: Electronic discovery (e-discovery) has become a crucial aspect of modern litigation. With the exponential growth of digital data, legal proceedings often involve vast amounts of electronically stored information (ESI).
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.
Given its similarity to Illinois’s (BIPA), if the New York BPA is enacted, it would likely make New York home to a flurry of class action litigation. For example, tight version control could be exercised over all forms of notice and consent, with copies stored in a fashion that will be readily accessible to litigation defense counsel.
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content