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
OpenText™ is proud to be named a Leader and Outperformer in the latest GigaOm Radar Report for E-Discovery. They can deliver a very wide range of features that are purposefully built to address specific key stages of the Electronic Discovery Model (EDRM) yet are ill-equipped to perform other tasks.
Legal teams are no longer just advisors on regulatory compliance or dispute resolution—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.
At its Relativity Fest user conference in Chicago today, the e-discovery company Relativity announced the forthcoming release of Relativity aiR for Review, the first of a planned series of products that will use generative artificial intelligence to help legal professionals in their work.
Risk and compliance checks : It flags missing clauses, unfavorable terms, or non-compliance with legal standards, helping you avoid costly mistakes. Reduce the Risk of Costly Mistakes One missed clause can lead to financial losses, compliance issues, or even lawsuits. Schedule your discovery call today!
A product launched this week claims to be the fastest search and review platform in legal for matters involving large document collections — discovery, investigations and compliance — and the first to seamlessly combine keyword and algorithmic search. Catalyst was acquired by OpenText for $75 million in 2019.
MachineLearningMachinelearning helps AI get smarter and more effective over time by learning from historical data. For instance, machinelearning can predict litigation risks based on similar cases, identify trends that might impact a client, or flag unusual clauses in contracts that might need extra attention.
Whether you need AI-driven redlining, compliance tracking, or collaborative workflows, these platforms help keep deals moving without sacrificing accuracy. One small oversight could lead to compliance issues, financial losses, or messy disputes. High risk of mistakes Its easy to overlook key clauses, risky terms, or compliance issues.
AI legal document analysis uses artificial intelligence to analyze, organize, and pull out important details from a variety of legal documents like contracts, compliance reports and other legal agreements and documents. This ensures accuracy, compliance, and the flexibility to handle even the most complex legal matters. Absolutely.
Relativity , the global e-discovery and compliance technology company, said today that it has acquired Heretik , an AI contract review company whose product was built on the Relativity platform and whose staff is half composed of former Relativity employees. .
Risk management isn't just about reacting to crises; it involves proactive assessments and planning to ensure compliance with legal and regulatory standards. From practice management software to contract lifecycle tools and e-discovery applications, technology streamlines key activities.
Machinelearning : The system improves over time by learning from past reviews. Suggested edits and approvals : Certain tools provide recommendations to help legal teams speed up contract negotiation and ensure compliance. Improves Compliance Keeping up with changing laws is a hassle.
Introduction In today’s digital age, electronic discovery, or eDiscovery, plays a crucial role in the legal process. Communicate new policies to all employees and ensure compliance. These experts possess specialized knowledge and experience, ensuring compliance and leveraging advanced technologies.
At its Relativity Fest user conference in Chicago today, the e-discovery company Relativity announced the forthcoming release of Relativity aiR for Review, the first of a planned series of products that will use generative artificial intelligence to help legal professionals in their work.
Legion AI Associate We are building AI agents that draft discovery and motions for litigation lawyers, allowing lawyers to customize each document in their own voice and generate work product on their own template. Using Large Language Models and Geometric MachineLearning, our platform forecasts litigation outcomes at scale.
E-discovery solutions , a significant part of legal tech, were estimated to be a multi-billion-dollar industry. The global e-discovery market size was projected to reach $17.32 Predictive Analytics: Machinelearning algorithms examine historical case data to predict legal outcomes.
Imagine a world where your in-house legal team can predict litigation outcomes, automate tedious document reviews, and ensure compliance with evolving regulations—all while cutting costs and boosting efficiency. These platforms use AI to analyze contracts, identify risks, and ensure compliance.
Imagine a world where your in-house legal team can predict litigation outcomes, automate tedious document reviews, and ensure compliance with evolving regulations—all while cutting costs and boosting efficiency. These platforms use AI to analyze contracts, identify risks, and ensure compliance.
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. In the case of e-discovery , for example, artificial intelligence is already being leveraged to great effect.
Contract analysis: AI technologies, including natural language processing (NLP) and machinelearning, are used to analyze and review contracts to identify key terms and potential risks and help ensure compliance. AI helps automate and accelerate the e-discovery process by quickly sorting through large datasets.
E-Discovery and Digital Forensics: Electronic discovery (e-discovery) has become a crucial aspect of modern litigation. Advanced e-discovery tools and software help lawyers sift through this data, identifying relevant evidence, and streamlining the discovery process.
By leveraging machinelearning techniques, AI systems can identify patterns and correlations that humans might miss. With advancements in natural language processing, machinelearning, and data analytics, AI technology will enhance various aspects of legal practice.
In today’s digital age, electronic discovery, or eDiscovery, plays a crucial role in the legal process. Communicate new policies to all employees and ensure compliance. Technology-Assisted Review (TAR): TAR, also known as predictive coding or machinelearning, utilizes advanced algorithms to assist in the document review process.
When it comes to changes in the legal environment, eDiscovery remains high and is known as electronically stored information discovery. Association of Certified E-Discovery Specialists (ACEDS) Overview: ACEDS provides the Certified E-Discovery Specialist (CEDS) certification, which is recognized by professionals in the field.
When it comes to changes in the legal environment, eDiscovery remains high and is known as electronically stored information discovery. Association of Certified E-Discovery Specialists (ACEDS) Overview: ACEDS provides the Certified E-Discovery Specialist (CEDS) certification, which is recognized by professionals in the field.
There is a growing importance for the reuse of eDiscovery data in legal and compliance fields, as harnessing these insights is a catalyst for innovation and strategic decision-making within organizations. Data Analysis: Employing statistical methods and machinelearning algorithms to analyze the data and uncover patterns or trends.
Learn more about this company at the LawNext Legal Tech Directory. Docgility Elevator Pitch: AI-powered Contract Acceleration Platform – 80% faster contract execution with improved compliance – supports review, redlining, collaboration, and negotiation of contracts (including third party/counter party contracts).
Improved Risk Management and Compliance: Through streamlined processes, legal departments can effectively identify and mitigate potential risks and ensure compliance with applicable laws and regulations. By leveraging artificial intelligence, machinelearning, and data analytics.
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.
designed to enhance your e-discovery workflows with powerful new features and improvements. Explore these new features today and experience the future of e-discovery! Aviator Review also helps to control the cost of e-discovery projects by providing users with a cost estimate for each selected data set before they run it.
Founded in 2016, NRF Transform seeks to reengineer conventional legal services to make them more efficient and effective, while also investing in "new law" services including legal technology, legal operations, compliance, and RegTech. One could credibly make similar statements about e-Discovery tools, e-billing and time tracking, etc.
This capability is beneficial in the due diligence stage, legal discovery , and compliance reviews, where tons of data require proper and swift analysis. Such goals might be cutting the time spent on document review in half, enhancing the accuracy of the contracts’ analysis, or enhancing the monitoring of compliance.
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. Learn more about the ethics of using AI in our article AI and the Law: What are the Ethical Considerations?
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.
I am a huge fan of experimenting with these techniques in the discovery phase. I am quite sure we are all going to hear a lot more about this topic soon in the legal and compliance industry, especially when UX/UI design will be better recognised as a driving force for successful legal tech products. Part 3: How to Drive Change.
VoiceScript Ai.Law Elevator Pitch: Provides AI-generated litigation documents, from pleadings to discovery. See the demo video on responding to written discovery requests.) Our platform is the only one that learns your story (or your opponent’s) and has the power to efficiently deliver the best possible results.
Traction: We have done a lot of work on customer discovery and gathered a great deal of positive feedback. Launching January 2022, our AI-driven engine will automate litigation processes like lawsuit and motion drafting, discovery preparation, procedural calendaring and much more by turning days of work into 2-3 minute-long activities.
Traction: We have done a lot of work on customer discovery and gathered a great deal of positive feedback. Launching January 2022, our AI-driven engine will automate litigation processes like lawsuit and motion drafting, discovery preparation, procedural calendaring and much more by turning days of work into 2-3 minute-long activities.
VoiceScript Elevator Pitch: Provides AI-generated litigation documents, from pleadings to discovery. See the demo video on responding to written discovery requests.) Our platform is the only one that learns your story (or your opponent’s) and has the power to efficiently deliver the best possible results. Anything else?
E-discovery professionals are on the front lines of detecting deep fakes used as evidence, according to Marathe. Catch Deepfakes If You Can: Can E-Discovery Tools Keep Up With Gen AI? And the deep comes from deep learning, which is a form of machinelearning. Deepfakes Are Coming to Courts.
E-discovery professionals are on the front lines of detecting deep fakes used as evidence, according to Marathe. Catch Deepfakes If You Can: Can E-Discovery Tools Keep Up With Gen AI? And the deep comes from deep learning, which is a form of machinelearning. Deepfakes Are Coming to Courts.
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