The technology stack, methodology and governance framework behind every Trovix AI integration. Built for regulated environments where explainability, auditability and data sovereignty are requirements.
THE TROVIX PLATFORM

We don’t give your people a new tool.
We put AI inside the tools they already use.

The fundamental difference between Trovix and every legal AI product on the market. No new interface. No change management programme. No per-seat licence. AI that appears inside the systems your staff open every morning.

AI products (Harvey, Legora, Luminance)
✗Staff must adopt a new interface
✗Data processed on third-party infrastructure
✗Legal workflows only
✗Per-seat licensing at scale
✗Change management required for adoption
✗General model trained on industry-wide data
✗Audit trail lives in the vendor's platform
Trovix AI integration
✓AI appears inside systems staff already use
✓All processing inside your own environment
✓Legal, insurance, financial services, accountancy
✓Fixed-scope engagement, not per-seat cost
✓No new behaviour required from end users
✓Model trained on your data, your history
✓Governance logs in your systems, in your format

Why this distinction matters

The most common reason AI deployments fail in professional services firms is not the technology. It is adoption. A managing partner can purchase a legal AI platform licence. Getting 80 fee-earners to consistently open a new interface, copy their work in, review the output and copy it back into the DMS is a change management challenge that most firms underestimate.

Trovix builds the AI into the interface your people already use. The partner opens iManage as usual. The AI has already reviewed the incoming contract, extracted the key fields and flagged the non-standard clauses. It is waiting in the document, not in another application. This is not a marginal improvement in user experience. It is the difference between AI that gets used and AI that does not.

When to choose a product. When to choose Trovix.

Choose a product (Harvey, Legora) if…
You need a polished interface for a large group of fee-earners doing standard legal tasks (contract review, legal research, document Q&A), you are comfortable with third-party cloud processing, and your primary use case is legal work only.
Choose Trovix if…
You need AI inside your existing systems rather than alongside them. You operate across multiple regulated sectors (legal, insurance, financial services, accountancy). You have data sovereignty requirements that prevent third-party SaaS processing. Your AI opportunity is in operational workflows (claims, reconciliation, underwriting, audit) not just document drafting. Or you have already evaluated AI products and found that fee-earner adoption is the obstacle.

Technology stack

Foundation models

Anthropic Claude, OpenAI GPT-4 class, and open-source models including Llama and Mistral. Model selection driven by your data sovereignty requirements and the specific task.

Custom ML on your data

Models trained on your documents, your history, your risk book. A fraud detection model trained on your transaction data will outperform a general model trained on industry-wide data. This is how supervised learning works.

RAG and document intelligence

Retrieval-augmented generation pipelines over your own document library. Legal research, contract review and knowledge management that understands your firm's standards and precedents, not generic ones.

Agentic systems

Multi-step workflows that plan, execute and deliver across your systems. Built with mandatory human oversight points and deterministic guardrails for regulated environments.

Cloud and on-premise

AWS, Azure, GCP or on-premise. Every deployment configured to ensure no client data leaves your environment. Data residency compliance confirmed before build begins.

MLOps and monitoring

Continuous model monitoring, automated retraining, version control and rollback. Model performance dashboards your team can inspect.

Governance by default

Every Trovix integration ships with a governance layer as standard. In regulated environments, AI governance is not an optional add-on — it is a compliance requirement. And the governance log must live in your systems, in a format your regulator can inspect, not in a third-party vendor’s platform.

Decision audit trail
Every AI-assisted decision logged with timestamp, inputs, outputs, confidence score and model version. In your systems. Satisfying FCA, SRA, FRC and PRA documentation requirements.
Explainability
SHAP feature attribution for ML decisions. Source citations for RAG outputs. The explanation is in the document, not in a vendor portal your regulator cannot access.
Human oversight and override
Mandatory review checkpoints at every high-stakes step. Override capability logged with rationale alongside the original AI decision.
Data sovereignty
All processing inside your environment. No client data transmitted externally unless explicitly approved. Architecture reviewed against your regulatory data residency requirements before build begins.

Six weeks to production

01
Discovery
Weeks 1-2. Map systems, data and workflows. Define success metrics.
02
Build
Weeks 3-5. Model development, integration, governance layer, testing.
03
Deploy
Week 6. Production deployment, training, documentation.
04
Improve
Ongoing. Monitoring, retraining, expansion.

Talk to our engineers

A technical conversation about your systems and where AI can deliver measurable value. We will tell you honestly if a product like Legora or Harvey is a better fit for your use case.

Book a Conversation