SYSTERA maps where AI touches client work, identifies governance gaps, and builds the audit trails, human checkpoints, vendor controls, and documentation that make AI use defensible.
The weak question is: “Should we use AI?”
The better question is: “Where is AI already touching client work — and can we defend how it is governed?”
SYSTERA builds the governance layer around AI use in law firms: vendor accountability, human checkpoint architecture, audit logging, policy documentation, and incident-response readiness.
Book Law Firm AI Risk Audit →We do not sell AI tools. We design the governance infrastructure around the tools your firm already uses — so AI-assisted work can be explained, reviewed, logged, and defended.
We identify every AI touchpoint: deliberate tools, passive platform features, individual staff workflows, client-data exposure, and missing documentation.
We evaluate the firm across vendor governance, workflow controls, data protection, and professional obligations — not generic AI maturity.
We define human checkpoints, vendor-accountability requirements, logging fields, disclosure language, escalation paths, and review responsibilities.
Where implementation is needed, we build tool-agnostic governance infrastructure: intake, rules layers, audit logs, dashboards, review workflows, and documentation.
Policies, vendors, case law, and client expectations change. SYSTERA supports ongoing review through governance retainers and periodic re-audits.
Every engagement starts with a Law Firm AI Risk Audit. The audit stands on its own: a written document your firm can use with partners, clients, insurers, or regulators to show that AI exposure was mapped and prioritized before an incident forced the issue.
Quarterly policy updates, vendor stack review, incident monitoring, staff Q&A, and annual re-audit. Designed for firms that need governance to remain current as AI tools, case law, and client expectations change.
Mapped to technological competence, confidentiality, supervision, conflicts, fee disclosure, and professional accountability obligations.
Vendor accountability, safeguards, breach notification, breach recordkeeping, data processing terms, and cross-border data flows.
Ontario and emerging provincial AI guidance — accountability, transparency, human oversight, and fairness — used as persuasive governance benchmarks even where not yet binding.
Recent Ontario and Federal Court decisions are establishing that AI use without verification, audit trails, and documented review is a professional-responsibility risk. The case law is moving; the direction is clear.
Governance controls use ISO 42001 as a structural reference while remaining specific to Ontario legal-practice obligations.
The regulatory environment for AI in legal practice is changing quickly. SYSTERA’s governance methodology is designed to hold up across new case law, new principles, and new instruments — not just to today’s requirements.
Every workflow is designed so inputs, outputs, review steps, approvals, and changes can be reconstructed.
AI assists. Professionals decide. Review points are assigned, documented, and tied to the actual failure modes of the workflow.
SYSTERA does not sell Microsoft, Clio, Harvey, Lexis, or any other AI product. We govern across the stack, not inside one vendor ecosystem.
The deliverable is not a slide deck. It is a written governance record your firm can use internally and externally.
SYSTERA operates under its own AI Governance Framework: approved tools, data classifications, human review, audit logging, and client-data limits.
The current focus is Ontario law firms, where professional responsibility, confidentiality, privacy, and court-facing work make AI governance urgent.
Hi, I’m Viktoriia. I built SYSTERA because I work close enough to legal operations to see where AI risk actually appears.
Not in strategy documents. Not in conference panels. In the everyday workflow.
A document is drafted. A tool suggests language. A staff member checks something. A client file moves through another platform. A meeting is transcribed. A research answer is copied into the next step.
Individually, these moments look small. Together, they create a question most firms cannot answer clearly: Where did AI touch the work, who reviewed it, what client information was involved, and what record exists if someone asks later?
That is the problem SYSTERA was built to solve.
Before SYSTERA, my background was in recruiting and managing service-industry teams — work where systems matter because people are busy, decisions move quickly, and informal processes break under pressure. That experience shaped how I see AI governance.
A policy is not enough. A training session is not enough. A trusted person “checking everything” is not enough. The system has to make the right questions visible before something goes wrong.
SYSTERA’s work is governance-first: map where AI touches client work, identify where controls are missing, and build the audit trails, review checkpoints, vendor-accountability records, and documentation that make AI use explainable.
The same discipline applies internally. SYSTERA operates under its own AI Governance Framework: client-facing work is reviewed before delivery, client information is classified, approved tools are controlled, and end-client personal information is not processed through AI tools.
The standard SYSTERA sells is the standard SYSTERA practices.
SYSTERA was built from inside legal workflows, where AI risk appears in small operational moments.
My background in managing teams shaped how I see governance: rules matter, but systems make them usable.
Audit trails, review checkpoints, vendor records, and documentation are built into the workflow.
SYSTERA operates under its own AI Governance Framework before building governance for clients.
The Law Firm AI Risk Audit gives your firm a defensible starting point: current exposure, governance gaps, vendor risks, human-review controls, and the priority remediation path.
Or email directly: hello@systeraautomation.com