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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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This comprehensive handbook explores the intricate relationship between AI and consumer protection law, analyzing both benefits and challenges of AI systems' expanding influence on consumers. It examines tort law applications to AI-caused harm, consumer use of digital delegates as agents, and innovative ways AI can protect consumer rights.
This treatise examines current AI court cases, relevant terminology, and precedent while charting the path forward for AI litigation. Written by the first appellate attorney to focus on AI litigation, it provides essential guidance for practitioners handling groundbreaking AI legal disputes in federal courts.
This third edition provides essential guidance for legal practitioners confronting AI challenges, featuring entirely new coverage of generative AI and the EU AI Act. Written by a leading AI lawyer, it offers practical insights into causation, IP ownership, data protection, and discrimination issues arising from AI deployment.
This handbook examines how AI technologies are reshaping international relations, diplomacy, and global governance structures. It addresses critical questions about AI's geopolitical impact, security implications, and the need for international cooperation in AI governance frameworks.
This comprehensive book critically examines how AI systems impact Belgian law, containing contributions on consumer protection, contract law, liability, data protection, procedural law, insurance, health, intellectual property, arbitration, lethal autonomous weapons, tax law, employment law and ethics. While focused on Belgian private and public law, it provides valuable insights for understanding AI's legal implications across European jurisdictions.
This comprehensive book examines how AI systems impact Belgian law while providing a general overview of EU regulatory and ethical AI developments. It covers consumer protection, contract law, liability, data protection, procedural law, insurance, health, intellectual property, employment law, and ethics. Essential reading for legal scholars, practitioners, and government officials interested in understanding AI's legal implications across private and public law domains.
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