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Ontra is the global leader in AI legal tech for private markets. Powered by industry-leading AI, data from 1M+ contracts, and a global network of legal professionals, Ontra's private markets technology platform streamlines and optimizes critical legal and compliance workflows across the full fund lifecycle. Ontra’s purpose-built solutions automate contracts, streamline obligation management, digitize entity management, and surface insights.
SpeedLegal is an AI contract negotiator that helps startups save $1k/contract ~$140k+/year when reviewing contracts using AI. Business people using SpeedLegal easily spot contract risks, negotiate better terms, save 75% of their time & boost deal closures 3X.
Definely is a leading provider of LegalTech solutions for drafting, reviewing, and understanding legal documents.
Luminance is the pioneer in Legal-Grade™ AI, wherever computer meets contract. Using a Mixture of Experts approach - known as the “Panel of Judges” - Luminance brings specialist AI to every touchpoint a business has with its contracts, from generation to negotiation and post-execution analysis. Developed by AI experts from the University of Cambridge, Luminance's technology is trusted by 700+ customers in 70+ countries, from AMD and the LG Group to Hitachi, BBC Studios and Staples.
Spellbook is an AI-powered contract drafting and review tool designed for legal professionals. Integrated directly into Microsoft Word, it leverages advanced language models, such as OpenAI's GPT-4, to assist lawyers in drafting, reviewing, and managing contracts more efficiently. Key features include generating new clauses based on context, detecting aggressive terms, and suggesting missing clauses to enhance contract quality.
Built on App Orchid's state of the art AI platform, ContractAI is an AI-powered SaaS-based Advanced CLM solution that automates and streamlines the analysis, creation and negotiation of contracts. ContractAI utilizes AI to automatically ingest and analyze historical contracts to author templates based on terms that were proven win-win. ContractAI eliminates the painful redlining process by giving suppliers vetted clause options.
AI Law Articles, Reports & Other Publications
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Plaintiffs Dow Jones & Company, Inc., NYP Holdings, Inc., and corporate parent News Corporation have renewed their intellectual property (IP) complaint against artificial intelligence (AI)-powered “answer engine” Perplexity AI in the District Court for the Southern District of New York.
The court in Thomson Reuters v. Ross Intelligence granted Ross’s request for interlocutory appeal on whether Westlaw’s headnotes are original and if Ross’s limited use (0.076%) qualifies as fair use. The court acknowledged differing legal opinions on these core issues, which could reshape the trial and have major implications for AI and copyright law.
In its most recent effort to keep pace with advancing technology, the US Food and Drug Administration (FDA) recently issued two draft guidances on the use of artificial intelligence (AI) in the context of drugs, biologics, and medical devices.
As artificial intelligence (AI) continues to develop at a rapid pace, even the most sophisticated general counsel (GC) and in-house legal teams will be hard pressed to keep up with the evolving legal landscape.
In the last year, state activism in healthcare consumer protection has surged, with new laws that heighten oversight of for-profit investors’ engagement with healthcare marketplaces and scrutinize pharmaceutical pricing practices. As part of this activism, several state legislatures have enacted laws regulating use of artificial intelligence (AI) in healthcare delivery.
The CNIL issued draft guidelines to align AI training datasets with GDPR. Key principles include purpose limitation (clear, specific goals), data minimization, storage limits, and the need for a legal basis (e.g. consent or legitimate interest). Vague goals like “AI development” aren’t valid. The CNIL recommends ethics committees and traceable governance. Reuse of data requires compatibility with original purpose. This aims to balance innovation with data protection.
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