Industry · Professional Services
AI for law firms (LPP-aware), accounting (CA / CPA obligations), and consulting (IP retention) — including the document-workflow and client-data realities specific to each.
Law firms, accounting practices and management consultancies have a specific AI problem: the work product is high-value, the client-data sensitivity is non-negotiable, and the ethical / professional-conduct constraints are real. We design AI engagements for the professional-services context — Legal Professional Privilege (LPP)-aware for legal, ethically-compliant for accounting, IP-protective for consulting. Practical, not just theoretical.
Regulatory context
Every AI engagement we run in Professional Services produces documentation that explicitly maps the work to the obligations below. The risk register, the control framework, the board pack — they reference these by name, so internal audit and compliance teams can adopt the artefacts directly without translation.
Key challenges
Legal practice can't leak client data through an LLM API. The architecture decisions (which model, where deployed, what data flows where) are LPP-determining, not just performance-determining. Most law firm AI work requires VPC deployment or on-prem.
Accountants using AI for client work still have professional-conduct obligations under CA ANZ and CPA Australia rules. AI-generated advice isn't a get-out-of-responsibility card; the engagement design accounts for the supervision and review obligations.
Consultancies have IP and methodology to protect — both from leakage to LLM providers and from being absorbed into shared corpora. The architecture choices around model selection and prompt engineering matter here as much as for legal practice.
AI that makes a 10-hour task into a 2-hour task is a real commercial question for time-billed practices: how does the value capture change? We help work through the engagement design around fee structures explicitly, not pretend it isn't a tension.
Use cases
AI-assisted contract review, due-diligence document analysis, discovery support. Reviewer-in-the-loop, with audit trails and confidence scoring.
AI-assisted workpaper generation, sample selection, exception summarisation. Designed to support, not replace, the audit judgement that the practitioner is professionally responsible for.
Internal RAG over firm methodology, prior engagement archives, public research. The pattern that's genuinely transformative for consulting research efficiency.
Draft letters, briefing notes, client updates. Always-reviewed, audit-trailed, and accountability explicitly retained by the professional.
Services most relevant here
RAG, agents, evaluations and observability designed for the realities of running LLMs in production — cost, latency, accuracy and drift, all measured.
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Practical AI governance for Australian businesses — policy, risk registers, board reporting, and the audit trail that satisfies both your CISO and your CEO.
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From "we should do something with AI" to a prioritised, costed roadmap your team can actually deliver — with the people who would run it sitting in the workshop.
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FAQ
Yes — architecture decisions (VPC-deployed models, on-prem inference where appropriate, prompt-data flow controls) are designed around the LPP context from the architecture stage. Generic API-based LLM use is rarely suitable for legal-practice-sensitive matters; we work to the architecture that fits.
Different engagement shape. Big 4 work tends to be larger-scope, longer-cycle, with significant internal governance involvement. Boutique firm work tends to be tighter-scoped and faster-moving. The methodology adapts to either; we don't default to the Big 4 cadence for a 50-person firm.
Every engagement in the professional-services sector includes explicit treatment of the professional-conduct obligations the AI use intersects with — LPP for legal, CA ANZ / CPA Australia rules for accounting, equivalent obligations for consulting practitioners. The engagement documentation reflects them.
Next step
We’ll come ready with questions specific to your industry and your regulator environment. 30 minutes, conversational, no commitment.