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.
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.