Launch builds on rapid expansion at Luminance, which posted 127% year-over-year growth in North America, a second straight year of global revenue doubling, and AI powered by analysis of more than 220 million documents.
LONDON, January 27, 2026: Luminance today launched the largest update to its Legal-Grade AI platform in the company’s ten-year history, introducing new architecture that retains negotiation history and legal decision-making across all enterprise contracts, addressing a long-standing gap in contract systems that captured outcomes but lost the context behind decisions.
Working with design partners including Deloitte, Quantinuum, Ingram Micro, Baringa and others, Luminance’s platform now connects the context for contract negotiations, workflows, and analysis across the entire enterprise portfolio.
“Enterprise amnesia is real and it’s costly. Whenever it’s time to renegotiate a contract, executives ask: who agreed to this, and why? Current AI systems are helpful in moments but disconnected over time. Our new platform remembers, reasons, and stays with the work in perpetuity, which distinguishes it from anything else on the market,” said Eleanor Lightbody, CEO of Luminance. Institutional memory transforms legal AI from a legal tool into the central brain for the entire enterprise” Lightbody added.
“For a decade, Luminance has cut contract negotiation time by 70-80%. With this relaunch, that jumps to 90%, not only that – but with institutional knowledge for contracts now available throughout the enterprise legal teams can gain over 30% of their time back.” said Harry Borovick, General Counsel of Luminance.
This historic update comes as Luminance experiences rapid global expansion. Company global revenue doubled in 2025 for the second year, with North America growing 127% YOY, including its first eight- figure enterprise deal. To support this growth, Luminance’s headcount grew by over 40% across the UK, Europe, Australia, and the United States. Over the past 12 months, Luminance analyzed 18M+ contracts across jurisdictions and industries.
New, Institutional Memory
Luminance’s new platform introduces a new generation of Legal-Grade™ AI designed to move beyond fragmented contract tools and support contract work as a continuous system.
- Negotiation AI: Reasons across entire agreements, aligning terms with organizational standards and drawing on prior negotiation history in real time.
- Workflow Orchestration: As deals progress, AI agents understand the state of each contract and how your business operates, then trigger the right actions – notifying the right people, at the right time, with the right context to keep contracts moving.
- Contract Intelligence: Query across complete contracts, contract families, amendments and obligations, asking questions you didn’t anticipate needing to ask.
- Ask Lumi: A conversational AI assistant available throughout the platform, delivering cited answers from first review through portfolio insight.
Institutional knowledge loss is a costly challenge for organizations. When experienced employees leave, critical undocumented institutional knowledge often leaves with them, leading to inefficiencies and time lost searching for information. Deloitte research shows the promise of AI in closing this gap, with 60 % of employees saying it can help transfer skills and expertise from seasoned colleagues across the organization.
Powerful Design Partners
“There have been great strides in AI technology in the last 12 + months. The development in the Luminance platform, including Lumi, that enables contract analysis and drafting using natural language querying and prompting right where professionals are doing their contracting work. It’s exciting to be involved with this new technology which is rapidly changing the ways of working in the Legal Space”, said Peter Lang, Technology Director, Deloitte Legal, Australia.
“Being able to use natural language to surface our contract data from both the repository and matters under negotiation has revolutionised the way we work and the speed at which we can do it”, said Claire Eldridge, Director of Legal and Compliance Operations at Quantinuum. “We no longer have to rely on manual processes across multiple tools or spend time searching through individual documents; the answer is there when we need it in a format appropriate to the circumstances.”
Under the Hood
Underpinning these capabilities is Luminance’s multi-agent architecture. Specialist AI agents operate across every stage of the contract lifecycle – understanding context, applying legal reasoning and taking action on behalf of users. Each agent draws on both short-term memory (outputs from previous reasoning steps) and long-term memory embedded in the platform (negotiation history, related contracts, portfolio-wide precedent). Every answer is grounded in source material with visible citations, reducing hallucination and increasing trust.
The architecture rests on three foundations: Recursive Legal Contextual Understanding, which analyses contracts holistically rather than clause-by-clause; a Panel of Judges approach using diverse foundational, proprietary and fine-tuned models; and a proprietary legal dataset built from over a decade of real-world platform usage by law firms and enterprises worldwide.
Availability
Luminance’s new Legal-Grade AI launches in beta to design partners, with broader availability from February 25.
About Luminance
Developed by AI experts from the University of Cambridge, Luminance’s Legal-Grade™ AI redefines enterprise decision-making, turning contracts from administration burden into strategic intelligence.
Luminance’s multi-agent platform automates entire workflows, from creation and negotiation to risk review and compliance. It understands clauses, evaluates legal and commercial impact, takes action, and learns from every negotiation, becoming increasingly attuned to your business. Trusted by over 1,000 of the world’s largest enterprises across 70+ countries, Luminance helps companies stay ahead of risk, seize opportunity, and outpace competition. Learn more at www.luminance.com
