Best on desktop.
The interactive deck is designed for a larger screen. For the smoothest experience, please revisit on desktop, or download the PDF below.
Download PDF
Matrix gives the legal AI stack a live, permissioned matter-state layer. Firms keep the AI interfaces lawyers already use — Harvey, Legora, OpenAI, Claude and internal agents — while Matrix becomes the authoritative graph those tools call before they reason, draft, compare, escalate or act.
The Omnigraph resolves known facts deterministically, with source, permission, version and decision lineage attached. Only the remainder routes to the probabilistic model layer, bounded by current matter context instead of loose documents. MCP makes the connector lightweight; the product depth lives in deterministic state, permissioned retrieval and reusable matter context.
Scan to see the Omnigraph animation in your browser — best on desktop.
Two BAME, female, socially mobile lawyers. One bedroom startup founded 7 years ago that became the multi-award-winning social mobility charity, STRIVE Talent. Now building the intelligence layer that transactional lawyers have needed for decades. Between them: the transactional legal experience and the technical vision to build what nobody else has thought to build in quite this way.
Six years in practice at top fund practices in the City; formation of funds with AUM in the billions is her bread and butter. She has done, manually, everything Matrix is built to replace. Sana does not have a theory about how transactional lawyers work: she is one. She has sat in every closing, negotiated every side letter, and managed every MFN process that Matrix handles. When she says the current workflow is broken, she means she lived it — just last Thursday. She is the domain expert on call who shapes design and schema decisions, tightening the feedback loop from months to minutes.
Chancery-trained barrister. Silver-circle trained solicitor. 42-trained software engineer with systems/architecture depth and product/design instinct. She has acted for Deutsche Bank, Goldman Sachs and Barclays on transactions up to £350M, then as Chief of Staff at a fast-scaling professional services firm drove 40% revenue growth while digitising its entire client base. Her capability as a high-resolution translator between Sana's domain expertise and her varied skills stack means we can execute at breakneck velocity, with crystal clarity of vision, and stay leaner for longer.
Isolation enforced at the architecture layer — not just the UI — with role-based access and EU / UK / US data residency. Here is an example diagram of how InfoSec would look for fund formation, but the same principles apply across Finance and M&A.
Each investor's side-letter terms, negotiation history and concessions are stored in discrete, permissioned nodes. No investor can query, view, or infer another's position. Confidentiality is enforced at the architecture layer, not just the UI.
Every user operates within a defined permission tier — Fund Counsel (full fund view), Fund Ops (operational data only), Investor Counterparty (own data only). Queries requiring graph traversals beyond each user's permissions will be denied. Access is logged, timestamped and auditable.
Matrix's cloud infrastructure is deployable with EU-based data centres (AWS Frankfurt / Dublin or Azure Netherlands / Ireland) for GDPR-bound funds, UK regions for post-Brexit clients, and US-East / US-West for US clients. Region selection is configured at onboarding and documented in the Data Processing Agreement.
