Modular ontologies
Your business has a language. Percidian makes it usable by AI.
A shared business foundation, the domain ontology the work needs — Legal, M&A, Investment, Finance, or Biotech — and your organization’s own vocabulary, in one model every approved AI system draws on, so a filing, a finding, or a safety signal means what it means inside the work.
Use-case extensions
Focused knowledge for a workflow that reuses the foundation and domain model rather than creating another disconnected knowledge base.
Your organization
Matter and client structures, investment frameworks, product taxonomies, process stages, risk categories, roles, internal definitions.
Domain ontologies
Legal, M&A, Investment, Finance, and Biotech — available today.
Business foundation
People, organizations, documents, communications, meetings, events, dates, amounts, decisions, obligations, ownership, evidence, permissions.
Available domain ontologies
Five available domains, each an explicit chain of entities AI can follow.
Legal · 9 entities in the chain
- Client
- Matter
- Party
- Claim
- Filing
- Obligation
- Deadline
- Precedent
- Strategy
What AI can follow. A filing belongs to a matter, a deadline follows from an event, and prior firm work may be relevant — subject to matter and document access.
Generic intelligence, specific work
Generic AI knows the language. Percidian knows what it means inside the work.
A model recognizes the word “matter.” It does not inherently know how that matter connects to a client, responsible partner, opposing party, filing, precedent, deadline, obligation, confidentiality boundary, and prior strategy.
Percidian makes those concepts and relationships explicit, maintains them across the enterprise, and makes the relevant authorized view reusable across every approved AI system.
Composed, not built
An ontology is the foundation, the packs a practice needs, and your own vocabulary.
The ACE Foundation carries what every business shares — people, organizations, documents, communications, decisions, obligations, permissions. Data packs layer the substance of a domain on top of it, and an ontology composes from them: the Legal ontology takes the Legal, Legal tech, and Business packs; M&A takes M&A, Legal, Finance, and Business. Available today: Legal, M&A, Investment, Finance, and Biotech; the foundation is built to support additional validated domains.
The work does not stay inside one category. A transaction can involve corporate entities, agreements, revenue, customers, employees, products, intellectual property, regulatory obligations, diligence findings, and decisions. Every pack extends the same foundation and declares what it depends on, so AI can follow a relationship across domains without crossing into another knowledge base.
Your vocabulary becomes infrastructure
Make the way your organization works consistent across every AI system.
Matter types, transaction stages, product hierarchies, risk categories, committee structures, client classifications, and internal definitions — part of the model, not recreated in every prompt or hard-coded inside every application.
Restated in every prompt
- Definitions repeated per prompt, per user
- Taxonomies hard-coded inside each application
- Meaning drifts between tools and teams
- Every new workflow starts from a blank vocabulary
Defined once in the model
- One definition, in the organization layer
- Shared by every approved assistant, agent, and application
- Consistent, reusable meaning across the enterprise
- New workflows reuse the meaning already defined
Bring your business into every AI decision
Give every approved AI system the context to do its best work.
Connect the knowledge your organization already has. Preserve what it learns. Apply the permissions it already trusts. Make that understanding available wherever people and agents work.