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
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. This involves more than just skimming through compliance dashboards; it requires diving into how data is collected, processed, and stored.
Next, we plan to expand the product’s scope to cover more aspects of the litigation process, to improve the machinelearning summarization model, and to develop visualizations of evidence based on the data present in the chronology. Finally, we plan to build integrations with e-discovery and practice management products.
Canotera Canotera provides AI-powered predictive analytics for legal disputes, bringing transparency and efficiency to the legal industry. Using Large Language Models and Geometric MachineLearning, our platform forecasts litigation outcomes at scale. Our mission: to predict legal dispute outcomes in a clear and impactful way.
With emerging new technologies like artificial intelligence (AI) and machinelearning, many people have started considering what legal software might mean for the legal profession’s future. 5 Generative AI Generative AI is a tool that is still in its infancy, and consequently, the more we learn, the more there is to understand.
Analyzing past cases and judge behavior allows legal teams to make informed decisions on litigation, settlement, or alternative disputeresolution. AI-powered document review platforms use advanced machinelearning algorithms to categorize, tag, and prioritize documents based on relevance and context.
How we’re unique: Starting from basic marketplace, Amazon+Uber for lawyers, approach, AppearMe is implementing machinelearning to automate routine legal work, minimize errors and missed deadlines by targeting the $65B litigation support market and offering free case management tools (a $1.1B Founded: 11/11/2019.
Automated decision-making: Businesses that utilise automated decision-making processes, including on the basis of AI, should be aware of the additional GDPR compliance and transparency requirements surrounding the use of these tools. Following the EDPB’s binding disputeresolution decision, the DPC fined Meta €1.2
It is based on advanced machinelearning models that learn patterns from vast amounts of data and can produce novel outputs based on that learning. Can AI assist lawyers in maintaining records and ensuring compliance with record-keeping regulations? How can AI affect alternative disputeresolution processes?
Disputec Peace Machine Elevator Pitch: Disputec LTD is an Israeli company implementing the Binary Resolution Model (BRM) in online apps and websites. The BRM process will help you to resolve any kind of conflict: decision making, disputeresolution, building a real-time “Collective-Will” for communities.
It is based on advanced machinelearning models that learn patterns from vast amounts of data and can produce novel outputs based on that learning. Can AI assist lawyers in maintaining records and ensuring compliance with record-keeping regulations? How can AI affect alternative disputeresolution processes?
How we’re unique: Starting from basic marketplace, Amazon+Uber for lawyers, approach, AppearMe is implementing machinelearning to automate routine legal work, minimize errors and missed deadlines by targeting the $65B litigation support market and offering free case management tools (a $1.1B Founded: 11/11/2019.
Next, we plan to expand the product’s scope to cover more aspects of the litigation process, to improve the machinelearning summarization model, and to develop visualizations of evidence based on the data present in the chronology. Finally, we plan to build integrations with e-discovery and practice management products.
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