LISA is purpose-built AI infrastructure for law firms — deployed inside your environment, trained on your matters, owned by your firm permanently. Not a product. Not a subscription. Infrastructure.
Individual adoption raced ahead of institutional strategy. The gap is where exposure lives — and where sophisticated firms are moving first.
The legal technology conversation has shifted from adoption to ownership. These are the questions sophisticated firms are asking before signing another subscription.
Every query your attorneys run against a third-party AI platform transits that vendor's infrastructure. Zero-retention clauses protect stored data — they do not eliminate transit. Under ABA Rule 1.6, reasonable efforts cover data in motion, not only data at rest.
LISA deploys inside your environment. Privileged matter information does not leave your control at any point in the processing chain. The compliance question becomes verifiable rather than contractual.
When a vendor builds workflows, trains embedded engineers on your processes, and captures years of usage patterns — that institutional knowledge lives in their relationship with you, not your internal capability. The day the relationship ends, the compounded value goes with it.
LISA builds the system and trains your people. When our engagement concludes, the capability, the architecture, and the institutional knowledge remain with your firm. Permanently.
Subscription spending creates no accretive firm value. After a decade of SaaS renewals, the firm holds raw documents. The vendor holds the trained platform, the workflows, and the compounded intelligence those documents produced.
A LISA engagement is a one-time investment in infrastructure your firm owns. One permanent asset replaces a decade of perpetual subscriptions — and compounds in value as more of your firm's work flows through it.
Every LISA deployment follows the same disciplined methodology — refined across international law firm and enterprise engagements.
Two paths to legal AI. Two fundamentally different asset classes.
The original LegalMind architecture was deployed with Baker McKenzie's regulatory practice — producing measurable operational outcomes while maintaining complete data sovereignty across every jurisdiction served.
The engagement established the methodology that became LISA: diagnose, redesign, build, own. Each subsequent deployment has been a refinement of that same core approach.
Every LISA engagement is bound by strict confidentiality obligations to the firms and enterprises we serve. Detailed case documentation — including workflows, outcomes, and architectural decisions — is provided under NDA to qualified firms evaluating a partnership.
Select the practice area most relevant to your firm, and we will send the matched case material directly.
LISA emerged from a decade of custom AI engineering work across regulated industries — legal, pharmaceutical, financial services, infrastructure — where data sovereignty is not a feature but a precondition.
The methodology was first deployed under the LegalMind brand with Baker McKenzie, where it demonstrated that custom, firm-owned AI infrastructure could meaningfully outperform generic platforms on the dimensions lawyers actually care about: precision, confidentiality, and institutional continuity.
LISA is the US-market expression of that work — rebuilt for American law firms, American regulatory frameworks, and the specific ethics obligations under the ABA Model Rules and state bar guidance. We work with a small number of firms at a time because the engagement model demands it. Every deployment is purpose-built, from the operational audit to the final transfer of intellectual property.
Led by Jon Ventoso, founder, in partnership with Fabio Lorenzon — Founder & CEO of SolutioAI, former Amazon, mentor at the Harvard AI Research Center, and a sought-after speaker on AI strategy across European forums.