Why Go or Rust for the backend?

For high-throughput, low-latency services they deliver performance and safety. We use the right language per service, not one everywhere.

What does MLOps include here?

Versioned deployment, A/B rollout, monitoring, drift detection, and retraining pipelines — the full lifecycle, not just a model endpoint.

Is client data kept confidential and secure?

Yes — we build with encryption, access controls, and audit logging appropriate to legal confidentiality requirements.

How fast can we ship and how do you price it?

Scope and price are locked before code at the Blueprint stage, tied to deliverables — outcomes, not hours. Tightly-scoped builds typically ship in a 30–60 day window.

//Specialized Engineering × Cloud-Native Backend & MLOps × Legal & Immigration

Cloud-Native Backend & MLOps for Legal & Immigration

High-performance backends and the MLOps to deploy, monitor, and retrain models in production — for SaaS, AI products, and real-time data platforms. Engineered for legal & immigration teams.

Legal & Immigration teams don't need a generic vendor — they need cloud-native backend & mlops built around how they actually operate. High-performance backends and the MLOps to deploy, monitor, and retrain models in production — for SaaS, AI products, and real-time data platforms. Case management, document portals, and client intake systems that turn days of paperwork into minutes of structured work.

01What's broken without us

Your backend can't keep up, or your models work in a notebook but never make it to production reliably. There's no path from experiment to deployed and monitored. For legal & immigration teams specifically, intake is manual, documents pile up, and deadlines are tracked in spreadsheets. Every case carries compliance risk and your best people spend hours on data entry instead of judgment.

02Our approach — the Forge Method, applied

01Blueprint how legal & immigration teams actually use cloud-native backend & mlops today, and lock scope, price, and the metric before code.
02Prototype the highest-value cloud-native backend & mlops loop against real legal & immigration data — not a generic demo.
03Forge a production-grade build on Go, Rust, Kubernetes, with CI/CD and observability from day one.
04Harden and hand off documented, ready for legal & immigration teams to extend.

//Capabilities

Microservices (Go, Rust, Node.js, .NET)
Serverless & container orchestration (K8s, Nomad)
CI/CD (GitHub Actions, GitLab CI, ArgoCD)
MLOps: deployment, A/B, monitoring, drift
Data engineering (feature stores, ETL)
Infrastructure as Code (Terraform, Pulumi)
Real-time event streaming
Event-driven architecture
Multi-agent intake & document processing
Case management platforms
Secure client document portals
Deadline & compliance tracking
RAG over case law and policy
Client communication automation

//Outcomes

What you can expect

Days → minutes

case intake

Audit trail

on every action

Notebook → prod

real ML pipeline

Monitored

for drift

//FAQ

Questions, answered straight

Case management, document portals, and client intake systems that turn days of paperwork into minutes of structured work. We bring cloud-native backend & mlops depth to those exact systems rather than retrofitting a template.

//Explore further

//Next step

Is the build ready to scope?
Find out in the scorecard, or talk it through on a call.

Take the Build Readiness Scorecard