Jurivo
Jurivo
AI legal assistant
AI & Automation
AI that doesreal work.
We design AI systems that connect to your data, tools and workflows — automating repetitive work and helping teams operate faster.
The situation
You already knowwhere the time goes.
Every company we talk to recognises at least two of these. None of them are technology problems on the surface — they are all workflow problems underneath.
- 01
Your team manually processes documents that arrive in the same shape every week.
- 02
Customer questions come back again and again, and each one still needs a person.
- 03
Information lives across emails, documents, drives and systems that do not talk to each other.
- 04
Employees spend hours copying information between platforms.
- 05
Qualified leads go cold because nobody followed up quickly enough.
What we build
Systems that understand,decide and execute.
An assistant that only answers questions is a demo. A system that reads, decides and acts inside your tools is infrastructure.
AI assistants
Conversational access to the knowledge your company already has — grounded in your documents, not in a general model’s guesswork.
AI agents
Systems that take a goal and carry out multi-step work across your tools, with the checkpoints a business actually needs.
Document intelligence
Extraction, classification and validation for invoices, contracts, reports and forms, with a human in the loop where it matters.
Workflow automation
The handoffs between people and systems, made automatic — from intake through approval to the record that closes it out.
Knowledge systems
Retrieval over your own content, so answers cite a source your team can open and verify.
System integrations
The connective work that makes the rest possible: CRM, ERP, email, storage, internal databases and third-party APIs.
How it fits together
What goes in.What comes out.
The system sits between the tools you already have. It reads what arrives, decides what it is, and acts — inside those same tools.
Inputs
- Documents
- CRM
- Databases
- APIs
DIVEX AI System
- 01Understand
- 02Decide
- 03Execute
Outputs
- Actions
- Responses
- Tasks
- Updates
- Reports
How we work
Four steps.No science project.
- 01
Discover
We map the existing workflow as it really runs — including the parts nobody documented.
- 02
Design
We identify where AI and automation create real leverage, and where they would only add a layer.
- 03
Build
We create the system and connect it to the tools your team already uses.
- 04
Operate
We measure it in production, improve what underperforms and expand what works.
Capabilities
What this covers.
Intelligence
- AI assistants
- AI agents
- RAG and knowledge systems
- Internal copilots
Processing
- Document intelligence
- Data extraction
- Classification and validation
- Email automation
Operations
- Workflow automation
- System integrations
- Lead qualification
- Monitoring and evaluation
More projects
- Balnera
Balnera
CRM & POS for wellness
Questions
Before you ask.
Do we need our data in one place first?
No. Most of the value comes from connecting systems that are already scattered. Consolidation can follow later, once the workflow proves what actually needs to move.
How do you handle confidential information?
We scope data access to what the system genuinely needs, keep processing inside infrastructure you control where that is required, and document what leaves your boundary. Specifics are agreed before anything is built.
What if the model gets something wrong?
We design for that. Systems cite sources, surface confidence, and route to a person where a wrong answer would be expensive. Automation replaces the repetitive part of the work, not the accountability for it.
How long does a first system take?
A focused first workflow is usually a matter of weeks rather than months. We deliberately start with one process that matters, prove it in production, and expand from there.
Let's talk
What could yourcompany automate?
Tell us how you work. We will tell you which parts are worth automating and which are not.