Private AI for Professional Services

Client confidentiality is enforced at the architecture level, not just through access controls. The system implements cryptographic isolation between engagement workspaces, meaning data from one client engagement is physically inaccessible to team members working on another engagement. Ethical wall configurations mirror your existing conflict management system and are automatically enforced when personnel are assigned to new engagements. When the AI searches for precedents or methodologies, it only surfaces de-identified examples from engagements where the querying user has clearance. Full audit logs track every query and response for professional conduct compliance.

Yes. We provide native connectors for the document management systems most commonly used in Australian professional services, including iManage Work, SharePoint, Confluence, and NetDocuments. The integration is bidirectional — the AI indexes content from your DMS in real time and can file generated content back into the correct matter or engagement workspace. For firms using custom-built knowledge management systems, our integration team builds API connectors during the onboarding phase, typically within two to three weeks. All document access respects your existing DMS permissions.

M&A engagements require the highest level of information control due to insider trading regulations and competition law requirements. The system supports deal-specific virtual data rooms within the AI environment, with access restricted to named deal team members. No M&A-related content is ever surfaced in general knowledge searches, even in de-identified form. Deal codenames are enforced throughout, and the system can be configured to restrict queries about specific companies, industries, or transaction types during live deal periods. These controls satisfy ASIC and ACCC confidentiality requirements for transaction advisory work.

Professional services knowledge has a shelf life — methodologies evolve, regulatory frameworks change, and client-specific insights expire. The system supports automated knowledge retirement based on configurable rules including document age, regulatory change triggers, and engagement closure dates. Retired knowledge is archived rather than deleted, remaining available for historical analysis but excluded from active search results. Your knowledge management team can set retirement policies at the practice level, ensuring that tax advice reflects current legislation and audit methodologies align with current standards.

Multi-office deployment uses a federated architecture where each office or practice group maintains local knowledge layered on top of the firm-wide knowledge base. Australian offices access sovereign infrastructure, while international offices can access the same knowledge base through secure, encrypted connections subject to your data sovereignty policies. Practice-specific knowledge — such as tax advisory methodologies versus management consulting frameworks — is organised by practice group rather than geography, so a tax consultant in Perth accesses the same tax knowledge as their colleague in Sydney. Cross-practice search is available for senior partners and business development teams.

Integration with conflict checking systems is a core feature for professional services deployments. When a user queries the knowledge base, the system cross-references against your conflict register to ensure no information is surfaced that would create a conflict of interest or breach ethical wall requirements. For new business enquiries, the AI can assist with preliminary conflict screening by searching historical engagement records for related parties, counterparties, and connected entities. This does not replace your formal conflict clearance process but accelerates the initial screening, reducing partner time spent on conflict reviews by an average of 65%.