Central governance
Policy lives in the platform, not in prompts. One enforcement layer across every agent, every surface, every channel—updated once, respected everywhere.
Now in deployment with early-access firms
Perspectis AI is the platform law firms deploy before they deploy AI agents. Secure by design. Governed from the centre. Built so every agent—ours or anyone else's—operates within your firm's policies, walls, and professional obligations.
Not a chatbot · Not a copilot · Infrastructure
Every firm is racing to adopt AI. Very few are asking the harder question: where does the policy live, who enforces it, and what happens when an agent—running at machine speed—makes a decision nobody can defend?
Most AI vendors hand you the assistant. Nobody builds you the operating platform the assistant needs to run in. That's what Perspectis AI is.
Four pillars. One enforcement surface. Designed for the reality of a regulated, client-trusted, partner-owned business—not retrofitted from a consumer chatbot.
Policy lives in the platform, not in prompts. One enforcement layer across every agent, every surface, every channel—updated once, respected everywhere.
Information barriers are platform constraints, not model instructions. They hold whether a lawyer is typing or an agent is running.
Approvals aren't a confirm dialog. They're workflow-native gates with durable records—for billing, compliance, and sensitive actions.
Not "we log everything." Structured decision records, tool execution traces, and access logs. Evidence that holds up under scrutiny.
Models and agents consume this layer.
They don't own it.
Each agent is a purpose-built application of the platform—governed, auditable, and connected to your firm's data from day one. As the platform grows, so does the agent library.
More agents are in development. The platform is the constant.
Perspectis AI sits at the intersection of technology, finance, knowledge, and growth—the functions that have to defend the firm’s position when AI leaves a mark.
CIO / COO
One governance model, one audit trail, one enforcement layer—regardless of how many AI tools the firm runs.
CFO / Finance Director
Billing integrity, pricing accuracy, and outside counsel guideline compliance enforced before the invoice goes out—not investigated after the dispute arrives.
CKO / Knowledge Director
Institutional memory captured in real time from live matters—not from manual knowledge management exercises.
BD / Marketing Director
Experience data that is current, searchable, and assembled into pitches—because it is captured from live matters, not retrospectively curated.
The point of view that shapes the platform—published so clients, partners, and the wider profession can hold us to it.
Uma perspectiva da Perspectis AI em linguagem simples: conhecimento tácito como memória sólida — “porquê” estruturado, enriquecimento direcionado, jornadas conectadas e o Representante de Atendimento Pessoal — sem transformar profissionAIs em digitadores de dados em tempo integral.
Read article →AI · 10 min readPor que construímos a IA da perspectiva de forma diferente — e por que ela permanece assim.Uma comparação em linguagem simples do Perspectis AI com os principAIs fornecedores de IA: governança empresarial, gestão de sistemas, interação humana e fluxos de trabalho profissionAIs — e não apenas bate-papo.
Read article →AI · 8 min readO que a responsabilidade séria em IA realmente exige — e o que o marketing frequentemente ignoraUma perspectiva da Perspectis AI em linguagem simples para líderes e responsáveis pela gestão de riscos: auditabilidade como evidência em camadas em decisões, ferramentas, sinAIs de segurança e acesso a dados sensíveis — com limites honestos para alegações de retenção, imutabilidade e evidência de adulteração.
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Warrick McDowellCo-Founder & CEOLinkedIn ->
Alejandro PaiukCo-Founder & CFOLinkedIn ->
Paul CliffordCo-Founder & CPOLinkedIn ->
Andrew HutchinsonAdvisor | SalesLinkedIn ->
Brooke PaliziAdvisor | MarketingLinkedIn ->
Mark RodighieroAdvisor | SystemsLinkedIn ->
Angus ThompsonAdvisor | EngineeringLinkedIn ->