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Paxton is an innovative legal technology firm transforming the legal landscape. Our vision is to equip legal professionals with an AI assistant that supercharges efficiency, enhances quality, and enables extraordinary results.
Developer of an document review platform designed to help law firms automate the reviewing process and find relevant evidence. The company's platform uses artificial intelligence to find evidence to support clients' cases, instantly view events timelines, autogenerate tags, and auto-categorize documents, helping lawyers to unearth critical evidence, and auto-generate comprehensive timelines.
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DocLens.ai is a Software as a Service (SaaS) platform that leverages artificial intelligence (AI) and machine learning (ML) to assist insurance professionals in managing legal risks associated with liability claims and complex document reviews. The platform is designed to process both structured and unstructured data, including various types of documents, to extract critical information and provide actionable insights.
Wexler establishes the facts in any contentious matter, from an internal investigation, to international litigation to an employee grievance. Disputes of any kind rely on a deep understanding of the facts. With Wexler, legal, HR, compliance , forensic accounting and tax teams can quickly understand the facts in any matter, reducing doubt, saving critical time and increasing ROI, through more successful outcomes and fewer written off costs.
DeepJudge is the core AI platform for legal professionals. Powered by world-class enterprise search that serves up immediate access to all of the institutional knowledge in your firm, DeepJudge enables you to build entire AI applications, encapsulate multi-step workflows, and implement LLM agents.
Alexi is the premier AI-powered litigation platform, providing legal teams with high-quality research memos, pinpointing crucial legal issues and arguments, and automating routine litigation tasks.
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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