Artificial Intelligence
AI and machine learning in legal practice
AI Training Data Limits and Copyright Challenges in Third Circuit Case
A Third Circuit case explores AI training data limits and copyright risks, impacting how AI is trained in the legal industry.
AI-Powered Legal Aid Chatbots Revolutionize Justice in Underserved Communities
AI chatbots are transforming legal aid by providing accessible solutions in underserved communities, enhancing access to justice.
Harvey AI Achieves $190 Million Annual Revenue, Serves 100,000 Attorneys Across 1,000 Legal Teams
Harvey AI reaches $190 million in annual revenue, serving 100,000 attorneys across 1,000 legal teams, marking significant growth in legal technology adoption.
AI-Powered Deepfakes Challenge Legal Proceedings and Evidence Authentication
Deepfakes, powered by AI, are creating significant challenges for legal proceedings and the authentication of evidence.
Filevine Secures $400 Million to Enhance AI-Driven Legal Platform
Filevine raises $400 million to expand its AI-powered legal operating intelligence system, aiming to transform legal workflows and enhance efficiency for legal professionals.
Thomson Reuters CoCounsel AI Legal Assistant Reaches 1 Million Users
Thomson Reuters' CoCounsel, an AI legal assistant, has surpassed 1 million users, revolutionizing legal practices across industries.
EU AI Act Enforcement Phase Commences: Legal Sector Faces Imminent Compliance Deadlines
The EU AI Act enters its enforcement phase, imposing stringent compliance deadlines on the legal sector, particularly for high-risk AI systems, with significant penalties for non-compliance.
Legal Industry Reaches AI Tipping Point: Majority of Lawyers Now Using Gen AI Despite Persistent Reliability Concerns
A majority of lawyers now use generative AI, yet concerns about its reliability persist, highlighting the need for robust governance in the legal industry.
AI Maturity: Strategic Considerations for Legal Leaders in 2026
Explore strategic considerations for AI maturity in legal practices for 2026. Discover why operational alignment and ethical considerations are crucial.
Navigating the Road to AI Maturity in Legal Practice
AI in the legal field is evolving rapidly. Key considerations for leaders in achieving AI maturity include data management, ethical compliance, and operational changes.
Paraguay's CONACOM Joins Stanford's Computational Antitrust Project
Paraguay's competition authority, CONACOM, partners with Stanford's Computational Antitrust Project to enhance antitrust enforcement through advanced computational tools.
AI in Legal Practice: Comparing Notetaking Technologies
Examining AI-powered notetaking tools in legal settings, highlighting differences in effectiveness and accuracy between general and specialized legal AI solutions.
AI and Legal Conversational Intelligence: A Comparative Analysis
Explore the differences between general AI notetakers and legal conversational intelligence, highlighting implications for the legal profession.
Smokeball and Thomson Reuters Integrate AI with Practice Management
Smokeball and Thomson Reuters partner to integrate AI capabilities, merging legal research and practice management.
Smokeball and Thomson Reuters Join Forces to Enhance Legal AI Integration
Smokeball partners with Thomson Reuters to integrate CoCounsel AI with practice management, merging legal research and management innovation.
Balancing AI Innovation and Responsibility in Legal Practice
Law firms are integrating AI to enhance efficiency, but must balance innovation with ethical responsibilities to maintain trust and compliance.
Balancing AI Innovation and Responsibility in Legal Practice
Law firms are integrating AI to enhance efficiency, but must balance innovation with ethical responsibility to maintain trust and compliance.