Precision Due Diligence
This is the deep pass: every document is fully processed, every entity mapped and every relationship traced across the whole data room, with a citation behind each one.
Safe. Sovereign. System-bound.
Illustrative demonstration
It is one system with five ways in, and you decide how deep it goes.
This is the deep pass: every document is fully processed, every entity mapped and every relationship traced across the whole data room, with a citation behind each one.
This is the fast sweep: hundreds of documents are read and made searchable in a single sitting, so you know what is in the room before you decide where to spend the hours.
Search every clause your firm has ever negotiated, and ask by concept rather than by keyword, for example "a deadlock provision that favors the minority."
Find the document, not the folder: ask for "that asset purchase agreement from the Kestrel deal," and ZOE knows the one you mean.
Search for a clause and insert it without leaving your document, and use a smarter find and replace. ZOE flags defined terms that are used but never defined, broken cross-references and missing schedules, and every change arrives as a tracked change.
Signature pages are the hardest part of a deal document to get right, so it is the piece we hold to the strictest standard. Here is how ZOE performs against real contract signature blocks — all of it running on the laptop in front of you.
99%+
signature-page accuracy on real contract signature blocks
Internal benchmarks on ZOE's own evaluation set; not an audited result.
The number we care about most is the escape hatch score. When ZOE cannot read a field with confidence, it says so rather than inventing a name — because a confident wrong answer is far more dangerous to a client than a blank one.
Keep your data, and outsource just the most intensive AI “thinking.”
Frontier AI costs will always be sensitive to compute (token) economics, and token counts naturally balloon as AI gets “smarter.” ZOE AI uses your laptop hardware to “preprocess” local data (like a junior associate) so that just the more difficult issues (typically done by a partner) are tackled by the hyperscaler, reducing compute costs by up to 99%.
Sophisticated clients are becoming more cautious about third-party AI vendors and datacenter security. ZOE AI keeps the vast majority of the client's data (including all client PII) local, on your system of choice. A ZOE AI user can calmly tell their client that “your documents never leave my laptop” while they leverage all of the benefits of modern legal tech powered by the world's best hyperscalers.
In today's AI driven world, your templates, preferred clauses, and negotiating playbooks represent the differentiators and competitive “moat” of your firm. When using ZOE AI, these precious assets that your firm has built over decades will stay on your laptop, desktop or server of choice. When you search for a preferred template or legal clause, the search is entirely local; when the hyperscaler (of your choice) helps you draft, the drafting flow sends just the skeleton it needs, about 90% fewer tokens, and sees small snippets of information on a need-to-know basis, when you allow it.
Everything that matters stays here: your clients' documents and the whole data room; your firm's clause library, precedents and templates, which are the work product the firm has built over decades and the competitive moat that sets it apart; and every matter's working files, with every confidential name, number and address ZOE marks in them.
Point ZOE at your precedents, whether ten of them or fifty thousand, and when you ask for a strong environmental rep you get your firm's best one, from the deal it actually closed in.
None of it leaves the laptop.
ZOE is air-gapped by default. Due diligence, the record of who signed and in what capacity, clause and template search, and drafting in Word all keep running with the connection off, which effectively creates an air-gap between your client's documents and the outside world. It works on a plane, in a data room with guest wifi you would never put client documents on, and in a courthouse basement with no signal at all.
Meet the Founder
Founder & Lead Developer
ZOE AI Inc. is an NVIDIA Inception Program member.
William Wei is a Nvidia Certified Agentic AI Professional who began his career at San Francisco-based technology consulting firm Alt-Think, where he primarily worked on projects for Microsoft before attending Northwestern University Pritzker School of Law.
As an attorney, William quarterbacked dozens of public and middle-market business combinations totaling billions of dollars in mergers and acquisitions. He previously worked as part of a legal team that ranked first in the U.S. by volume in de-SPAC mergers and has served as outside general counsel to companies across transactional, tax, employment, and corporate matters, representing clients ranging from large public companies to high-net-worth individuals.
ZOE is built the way it is because William spent those years doing the work by hand — and because he knows precisely which shortcuts an attorney cannot ethically take. Every design decision in the system answers to that: the software surfaces, the lawyer decides.
Advisory Board
Chief Platform Architect
Aaron Van Blarcom is the Chief Platform Architect at ZOE AI, specializing in need-to-know architecture, secure on-premises systems, and high-assurance platform design. He has extensive experience engineering and maintaining environments that demand strict data protection, constant uptime, and clear, auditable security boundaries.
Aaron's background includes building hardened endpoint ecosystems, isolated network architectures, secure mobility solutions, and reliable, fault-tolerant infrastructure for organizations where privacy and operational integrity are essential. He brings a practical, engineering-focused approach to implementing strong security controls that remain usable, scalable, and resilient.
At ZOE AI, Aaron leads the platform architecture behind sovereign, local-first AI systems, ensuring the company's technology is built with the same rigor, reliability, and trustworthiness he has applied throughout his career.
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Last updated: October 21, 2026
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