AI powered legal research platform. It enables users to develop LLM according to the legal workflows. The platform provides frameworks to evaluate AI tools across practice areas.
Josef is a no-code platform designed for legal professionals to automate legal tasks, build and launch their own legal chatbots or services. It empowers lawyers, corporate counsel, and legal operations professionals to create digital legal tools.
Clearbrief is a tool designed for lawyers to evaluate legal writing in real-time, including their own work and that of opposing counsel. It aims to help lawyers prepare arguments more efficiently and communicate more effectively with judges, potentially enhancing their reputation with clients and courts. Clearbrief also offers features such as citation analysis and the ability to turn an opponent's writing into a draft response.
Trusli is an automation platform that leverages the power of large language models to automate contract reviews for in-house legal teams at enterprise organizations. We provide private AI that enhances efficiency and reduces costs, while ensuring legal teams maintain control and compliance. Trusli was acquired by Gruve AI in June 2024. We will continue to operate and serve our customers with the same commitment and excellence.
DraftWise is an AI-powered contract drafting and negotiation platform designed for transactional lawyers. It leverages a firm's existing knowledge base and past deals to improve the efficiency and accuracy of contract creation and review. DraftWise integrates with tools like Microsoft Word and document management systems to provide a unified view of a firm's collective knowledge.
FirstRead is an AI legal assistant designed for small and midsize law firms. It provides support by drafting legal documents, analyzing contracts, and managing legal tasks. It aims to increase efficiency and bandwidth for law firms without the traditional costs associated with hiring additional staff.
Using AI tools like Midjourney or DALL·E to create business content doesn’t guarantee ownership. IP laws hinge on tool terms, not just creation. Risks include licensing disputes, takedowns, and infringement claims. Companies must check terms of service, avoid style mimicry, and prove rights to use content. Using AI prompts for legal review is helpful, but always confirm with counsel. Treat AI content as real IP to safeguard your brand as it scales.
AI agents that mimic real people—digital replicas—raise major legal issues, including rights of publicity, copyright, and consent. U.S. laws vary by state, and consent alone isn’t enough to avoid risk. EU and global regulations are emerging, adding complexity. Brands must secure clear licenses, define usage, manage outputs, and ensure transparency. Legal strategy isn’t optional—it's essential to protect trust, reputation, and avoid costly liabilities in this fast-evolving space.
AI is transforming how businesses use data, raising new legal and licensing challenges. Traditional licenses often lack clarity on machine use, exposing risks. Companies must assess their data flows, clarify rights for machine learning, and implement use-based frameworks addressing AI training, output rights, ethics, and traceability. Updating data licenses is essential for responsible, scalable innovation in the AI era.
Explore how AI is reshaping innovation incentives and challenging traditional IP frameworks. WIPO's Economic Research Working Paper No. 77 offers an economic perspective on AI's impact on intellectual property. Essential reading for AI entrepreneurs and IP professionals.
Examines the increasing concern over deepfakes and the legislative efforts at both federal and state levels to address the challenges they pose. It discusses various proposed and enacted regulations aimed at mitigating the risks associated with deepfake technology which of course includes AI.
Offers an in-depth examination of how artificial intelligence is evolving and its implications for the legal profession. It addresses questions about legal accountability when machines make autonomous decisions with financial consequences and explores how laws are adapting to these new realities. This guide is essential for understanding the intersection of AI and law.