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
Key provisions include , amongst others, 70-year post-mortem copyright terms, 20-year patent protections, and safeguards against patent infringement with mechanisms for swift disputeresolution. These datasets provide the raw material for machinelearning algorithms, allowing AI systems to learn and improve over time.
Legal teams are no longer just advisors on regulatory compliance or disputeresolution—they are now key players in data governance, risk management, and strategic decision-making. Rather than relying solely on IT or external vendors, GCs should lead the charge in testing and optimizing predictive coding and machinelearning tools.
Australia and Japan are also witnessing increased interest in legal tech solutions, particularly in areas like online disputeresolution and legal analytics. Chinese legal tech companies are leveraging AI and blockchain technologies to address legal challenges and improve access to justice.
This blog examines AI’s impact on the legal field, empowering legal teams to lead. Analyzing past cases and judge behavior allows legal teams to make informed decisions on litigation, settlement, or alternative disputeresolution. The legal sector is no exception to this rule. It also underscores the role of legal tech.
To take just one example from many, the ODR (online disputeresolution) movement has created the need for understanding how these technologies work to aid and even undertake decision-making as an alternative to traditional adjudicatory models. Other law schools are embedding this education in traditional law school courses.
With enforcement by several European DPAs against Clearview AI, businesses with no presence in the EEA should keep in mind the GDPR’s potential extra-territorial reach, especially given the complexities in complying with the GDPR in the AI, algorithmic decision-making and machinelearning contexts. (2)
But we’ve particularly carved out a market leading reputation for our expertise in international asset management, cross border m&a, and also particularly global disputeresolution investigations work. So really a full service firm.
But we’ve particularly carved out a market leading reputation for our expertise in international asset management, cross border m&a, and also particularly global disputeresolution investigations work. So really a full service firm.
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