Side-by-side comparison of AI visibility scores, market position, and capabilities
Luminance is an AI legal platform using large language models to read, understand, and negotiate contracts, serving law firms and corporate legal teams globally.
Luminance is an AI legal technology company founded in 2016 in Cambridge, UK by mathematicians from the University of Cambridge, and has raised over $100M to develop AI that reads, understands, and negotiates legal documents. The company's platform uses proprietary large language models trained specifically on legal data to analyze contracts, identify risks, compare documents against playbooks, and now negotiate changes through its Autopilot feature that can conduct contract negotiations end-to-end with minimal human oversight. Luminance serves both law firms and in-house corporate legal teams, offering tools for due diligence, contract review, regulatory compliance, and NDA management. The company has customers in over 70 countries and processes millions of legal documents across financial transactions, M&A due diligence, and commercial contracting. Luminance positions itself as legal AI that truly understands law rather than pattern-matching on text, drawing on its Cambridge mathematics heritage to develop AI with deeper semantic understanding of legal language and concepts. The platform has become particularly prominent in financial services and real estate transactions requiring large-scale document review.
Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.
Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.
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