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LegalMation leverages the latest artificial intelligence systems including GPT-4 to help corporate legal departments and law firms drive efficiency with straightforward and easily deployed solutions specifically focused on litigation and dispute resolution workflows.
Bench IQ is an AI-powered service that allows attorneys to uncover the reasons behind all of their judges' rulings, not just the 3% that can be found in their judicial opinions. We provide attorneys with unparalleled insight into their judges' thinking, enabling them to argue more successfully.
LegalFly is an AI-powered platform designed to streamline legal operations, offering services such as contract review, drafting, and due diligence. It aims to enhance efficiency and accuracy for legal teams by automating repetitive tasks and allowing professionals to focus on strategic work.
Rhetoric helps litigators know more, persuade more, and win more cases. Identify judge preferences and custom tailor briefs through similarity scoring, sentiment analysis, and more
FirmPilot is the first AI Marketing Platform for Law Firms that intelligently suggests marketing tactics & generates high-quality content 10x faster to get more cases on auto-pilot.
Skribe is a company that offers an AI-powered alternative to traditional court reporting, aiming to streamline the process of capturing and analyzing legal testimony. It was co-founded by Karl Seelbach, a seasoned litigator, and Tom Irby, a former owner of a court reporting firm.
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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