Legal, insurance, finance, public sector — wherever a request comes in and a decision must come out, Briefcase runs it. One bright, AI-native platform, built on two decades of real casework, that scales from ten cases to ten million.
These are public-sector numbers because they're published — but the pattern is universal. Insurers, banks, regulators and councils all run the same machinery: a queue, a form, a clock and a letter, on systems that can't keep up. The case isn't slow. The system is.
Different sectors. Different rules. The same tired machinery underneath.
The big CRMs are brilliant at what they were designed for — pipelines, deals, products. Bend one into a case system and you inherit twenty years of assumptions that were never about eligibility, harm or fairness. Legacy case systems are worse: monolithic, on-premise, and architecturally allergic to AI.
We didn't study CRMs. We studied two decades of real casework across justice, insurance, finance and government — and rebuilt it for the AI era.
A complaint, a claim, an appeal, an application — strip away the jargon and they all move through the same nine stages. Briefcase is that spine, configurable per domain, with AI woven into each step. Click a stage.
At the core is a workflow engine that AI designs and continuously tunes. Around it, independent modules — document AI, payments, bundling, identity, scheduling and more — snap on per case type. Add, remove or replace any module without touching the rest.
AI is the canopy over the whole stack — reading what comes in, driving the engine, powering the modules, and learning from one unified case-data model.
Every capability here is drawn from real casework — including a pattern already proven in production: AI reading an uploaded document, extracting the parties, and opening the case automatically.
The breakthrough isn't just AI in the workflow — it's an AI that extends the platform itself. Clerk is the built-in builder agent. Your team describes a new field, form, rule, report or whole mini-workflow in plain English, and Clerk creates it, previews it and deploys it — safely, with full audit. No vendor. No release cycle. No invoice.
"Add a vulnerability flag that pauses the clock and alerts a manager." Done in minutes.
Every change is sandboxed, previewed, version-controlled and reversible — with a full audit trail.
The caseworkers who feel the friction are the ones who fix it. The platform compounds, daily.
Briefcase runs cloud-native on Kubernetes. Each module is an independent service that scales on its own — so when volume spikes (a deadline, a disaster, a new caseload), the platform adds capacity automatically and releases it when the wave passes. No migration projects. No re-platforming. The same system grows with you.
Briefcase deploys into your environment, not ours — and bends to your AI strategy, not the other way round. Casework is sensitive; the platform is built so your data and your decisions never leave your control.
Deploy into your Azure, AWS, GCP or private cloud — single-tenant and isolated, inside your security boundary and compliance regime.
Plug in the models you trust — commercial, open-weight or on-prem. Swap them per task or per case type. No lock-in to a single provider, ever.
A single unified case-data model inside your tenant, with end-to-end audit, retention and access control. Built for OFFICIAL, regulated and privacy-first workloads.
The same universal core, configured per domain. Wherever a request comes in and a decision must come out, Briefcase fits.
Briefcase isn't a startup's first guess at how cases work. It's built by people who spent twenty years designing and running real systems across justice, insurance, finance and the public sector — and who finally got to rebuild them the way they should have been built.
Bring your hardest case type. We'll show you Briefcase running it end to end — in your cloud, with your AI.
No spam. A real conversation about your caseload.