Briefpoint is a legal tech company that offers AI-powered software to automate and streamline the discovery process for legal professionals. It integrates with legal practice management software like Clio and Smokeball.
Docsum is an AI contract review and negotiation platform. With Docsum, legal, procurement, and sales teams can negotiate and manage contracts 3x faster, to reduce the time to close and win more deals. Docsum works by analyzing and redlining contracts using configurable playbooks owned by lawyers.
Recital is a legal tech company that utilizes AI to streamline contract management for in-house legal teams. It focuses on simplifying and accelerating the contract review process through features like clause extraction and suggestion, as well as automated contract organization and updates. Recital aims to address the challenges of growing workloads and tight deadlines faced by legal departments.
DocDraft is an AI-powered legal platform designed to assist small businesses and individuals with drafting legal documents. It offers features such as AI-powered document drafting, allowing users to generate customized legal documents in minutes, and aims to provide affordable, accessible, and customizable legal support. DocDraft utilizes AI to automate the creation of legal documents, streamlining the process and improving efficiency for legal professionals.
Syntheia automatically turns your contracts into data, and delivers that data where you need it, when you need it. Each of our apps is designed to fit existing workflows - reviewing documents, creating a clause bank, drafting documents and advice, and collaborating on work.
Lexis® Create+ leverages existing internal work products of legal professionals, delivering a powerful, personalized drafting experience in Microsoft 365. It is grounded in your firm’s DMS and authoritative LexisNexis® sources, with generative AI capabilities built right in. Connect the full knowledge of your firm with the unrivaled insights of LexisNexis for everything you need to quickly build exceptional legal documents while preserving firm confidentiality and privacy requirements.
This practical field guide offers attorneys and business professionals essential navigation tools for AI legal compliance across multiple jurisdictions. It provides concise guidance on privacy, intellectual property, liability, and regulatory requirements for AI development and deployment, making complex legal concepts accessible to non-specialists.
This comprehensive 544-page textbook provides essential foundation for understanding ethical challenges in AI development and deployment. Written by a leading expert in AI ethics who has held positions at Oxford, Bristol, and Cardiff Universities, it offers practical frameworks for addressing algorithmic bias, transparency, and accountability in AI systems.
This pioneering book brings together forty international authors to examine AI's emerging legal framework across multiple jurisdictions including Canada, France, Belgium, the US, Brazil, Mexico, and Senegal. It addresses sectoral rules, risk-based norms, data governance, IP law, and liability systems while analyzing cultural differences in AI regulation approaches.
This book presents readers with a comprehensive understanding of AI ethics, examining ethical questions across different AI applications through case studies and theoretical frameworks from multiple academic disciplines including legal policy, environmental sciences, and philosophy of technology.
This open access book examines how generative AI will transform society when 90% of digital content becomes AI-generated, making reality indistinguishable from synthetic content. It analyzes humanoid robots, deepfakes, augmented reality, and virtual reality, exploring their unprecedented impact on democracy, judicial systems, press freedom, and personal relationships.
This comprehensive international guide helps legal professionals understand and resolve emerging AI legal issues across multiple jurisdictions. It provides practical frameworks for addressing complex AI challenges in contract law, liability, privacy, and regulatory compliance across different legal systems.