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.
Texas's proposed Responsible AI Governance Act represents the next wave of comprehensive state AI legislation following Colorado and Utah's pioneering laws, with healthcare-specific provisions requiring transparency and risk management. The analysis reveals a regulatory landscape in flux as Trump's administration reverses Biden's AI oversight policies, leaving states to fill federal gaps with varying approaches from California's strict safety measures to Texas's innovation-friendly frameworks. Healthcare AI companies must develop agile compliance systems as the regulatory patchwork intensifies, particularly given potential federal preemption challenges that could reshape the entire state-level AI governance landscape.
Stanford Law School's comprehensive analysis reveals that while legal tech has attracted $700 million in AI startup funding since early 2023, structural barriers persist in law firm adoption. The report identifies technical solutions like retrieval augmentation and guardrails addressing accuracy and privacy concerns, but highlights fundamental challenges including billable hour models and incumbent dominance. For legal tech entrepreneurs, the key insight is positioning as partners rather than competitors to established players, particularly in specialized domains like IP and compliance where opportunities remain most promising.
The FTC launches 'Operation AI Comply,' targeting companies using AI to deceive consumers, including fake review generators and fraudulent 'AI lawyer' services. This landmark enforcement sweep demonstrates that existing consumer protection laws apply fully to AI technologies, with penalties reaching $193,000 for DoNotPay's false claims about replacing human lawyers. The action establishes critical precedent for AI accountability and signals intensified federal oversight of AI marketing claims, making compliance frameworks essential for AI companies.
MultiState's comprehensive state law tracking reveals that 14 states have enacted nonconsensual sexual deepfake laws while 10 states regulate political campaign deepfakes, with Tennessee's ELVIS Act becoming the first to protect musical artists from AI voice mimicry. The analysis details how generative AI tools have democratized deepfake creation, making realistic impersonations accessible to anyone while examining industry-specific protections for Hollywood actors and fashion models. This specialized policy analysis demonstrates the expanding scope of state deepfake legislation beyond traditional categories, emphasizing the need for comprehensive tracking as lawmakers respond to AI-induced job displacement and protection of individual likeness rights across entertainment and other sectors.
WEF's analysis reveals how the FTC is drafting new laws to criminalize harmful deepfake production and distribution in response to rising AI-enabled fraud and the 2024 election cycle, including a Biden voice deepfake targeting New Hampshire voters. The assessment connects deepfakes to broader democratic threats including misinformation ranked as the top global risk for 2024, while highlighting how these technologies can erode public trust in government, media, and institutions. This global policy perspective emphasizes the Forum's Digital Trust Initiative and Global Coalition for Digital Safety efforts to combat disinformation through whole-of-society approaches building media literacy and technological safeguards.
Reuters Practical Law's comprehensive regulatory analysis tracks federal legislation including the NO FAKES Act and No AI FRAUD Act while examining state-level deepfake regulation covering defamation, privacy breaches, and election interference. The assessment details how generative adversarial networks create increasingly sophisticated synthetic media through competing generator and discriminator systems, while highlighting artist advocacy like FKA twigs' Congressional testimony on identity control. This authoritative legal practice guide emphasizes that while no comprehensive federal deepfake legislation exists, the IOGAN Act requires NSF research support for detection standards as Congress considers broader regulatory frameworks addressing creation, disclosure, and dissemination of digital forgeries.