Your precedent becomes their product
General platforms reserve the right to learn from what you submit. Your motion practice sharpens a model opposing counsel can rent next month.
Models tune on your precedent alone, inside your walls.
Intelligence
you own.
Privilege you keep.
Sovrant builds AI systems that run entirely inside your firm’s firewall — hardened open-source models, private retrieval across your precedent, and deterministic agents for litigation work. Your casework trains no one.
Deployed inside your firewall
Zero training egress
No per-seat licensing
Running on firm-owned infrastructure
MODELS · INDEX · AGENTS — ALL LOCAL
Built with
Bar-accredited training
NVIDIA-accelerated inference
Managed by Automates
SOC 2–aligned
Why sovereign
Stop renting what you should own.
Every generic AI subscription moves your firm’s thinking into someone else’s custody. The industry calls that convenience. We read the terms of service and call it something else.
Every prompt is work product in transit
Text crossing a vendor API sits in their custody, on their retention schedule, subject to their subpoena response — not yours.
Custody never transfers, so privilege never has to be argued.
Confident answers, no work shown
Rented AI cites cases that don’t exist, and the sanctions motion lands on your desk rather than the vendor’s.
Verification gates; every citation traceable to source.
Per-seat pricing taxes your growth
Seat licenses scale with headcount, and switching costs compound every year you stay on someone else’s platform.
Buy the infrastructure once and own it like your library.
Architecture
Where your intelligence lives is the whole question.
Same four components. The only difference is which side of your boundary they run on — and that difference is the entire product.
Data flow comparison
Sovrant: nothing crosses. Models, index, and agents run entirely inside your perimeter, so there is no outbound path to revoke.
Platform
Case management that thinks. Research that cites.
AI-native systems built around the way your firm actually litigates — intake through discovery through trial — integrated with the stack you already run.
Deployed on hardware you control
On-premise, or private cloud your firm holds the keys to. Installed, hardened, and maintained with a standing patch cadence.
Hardened models
Open-source models, security-patched and tuned on your precedent — never on a shared corpus, never on anyone else’s matters.
- Security patching
- Firm-specific tuning
Private retrieval
A retrieval index over your own work product, so answers come from your firm’s memory instead of the open internet.
- Firm work product
- Nothing pooled
- Nothing shared
Containerized agents
Deterministic workflows for discovery, review, and drafting — each with defined boundaries and verifiable output.
- Discovery
- Review
- Drafting
Specification
- Deployment
- On-prem / private cloud
- Retrieval
- Private index
- Verification
- Source-traceable
- Compliance
- SOC 2–aligned
- Licensing
- Owned, not rented
Process
How a deployment happens.
Three phases, in strict order. Nothing begins before the previous one is signed off.
Discovery
We map how matters actually move through your practice, audit the data estate, and design the sovereign hosting plan — what runs where, and why.
- Workflow mapping
- Data estate audit
- Hosting design
Architecture
Custom architecture around your practice areas: the retrieval pipeline, model selection and hardening, agent boundaries, and verification gates.
- Retrieval pipeline
- Model hardening
- Verification gates
Deployment
Secure installation inside your perimeter, SOC 2–aligned controls, and hands-on onboarding for the attorneys and staff who run it daily.
- Secure install
- SOC 2 alignment
- Team onboarding
Training
Practical AI, on the record.
A California Bar–accredited MCLE program that turns attorneys and staff into competent, skeptical operators of modern language models — before those models touch client matters.
Team
Built by a litigator. Engineered for firms.
Joshua Smith
Founder & Chief Executive
J.D., Regent University School of Law. Litigated medical malpractice before building AI infrastructure — and wrote the Bar-accredited course himself.
Liam Tietjens
Lead AI Architect
Agentic systems and deterministic pipelines. Designs the containerized workflows — and the verification gates that keep them honest.
Tommy Thornton
Strategic Scale Partner
CEO of Automates. Runs the managed-infrastructure channel that keeps firm deployments patched, monitored, and secure.
Put it in front of your partners.
Tell us about your firm and the matters you’d point this at. You’ll hear back from a person, not a sequence.
- A walkthrough of the architecture on your own stack
- Held under NDA on request
- Bring your IT lead — we like hard questions