AI THAT GETS WORK DONE. ON YOUR PREMISES.

AI assistants for legal, analytics, intake, finance, sales, and more. Where you are.

Prepare documents. Update records. Carry out the steps in your tools.
We build workflows that run on site, with permissions and approvals you control.
Local data. Auditable actions. No per-token fees for local inference.

MAC STUDIOM5 Ultra · 512GB unified memory
Your premises. Your data.
Built on Apple security
Behind your existing firewall
A DIFFERENT KIND OF AI COMPANY

From a request.
To work done.

Give your AI an outcome: prepare the monthly report, process a batch of invoices, or assemble a client file. We connect local models to approved tools and build the steps that carry the task through. You receive the deliverable, a record of the actions taken, and any exceptions to review.

Give it a task.

Define the finished work, the source material, and the systems it can access. Start it with a request, a schedule, or a configured event.

Let it do the steps.

Read the inputs, use approved tools, and create the deliverable. Each workflow has defined permissions, checks, and stopping points.

Review the result.

Get the completed file or proposed update with an activity record. Sensitive actions wait for approval; exceptions go to your team.

REAL TASKS. TANGIBLE DELIVERABLES.

Built for the work
on your desk.

Documents prepared. Records updated.
Workflows carried through to completion.

01

Sales & marketing

Research an account, prepare a tailored proposal, and update the CRM. Queue outreach for your team’s approval.

02

Your domain. Your expertise.

Turn case files, intake forms, or policy documents into completed work products, with source references for review.

03

Computer use

Work through approved applications: enter data, move files, and complete multi-step tasks using scoped computer access.

04

Data analytics

Clean a spreadsheet, run the analysis, and produce a report. Deliver the working file alongside the findings.

05

Back-office work

Read incoming documents, extract the fields, reconcile records, and route exceptions to the right person.

06

Everyday automation

Run a configured workflow when a document arrives or a schedule triggers. Record what happened and escalate anything that needs judgment.

Built for human review. High-stakes decisions and external actions stay under your team’s control.

BUILT AROUND YOUR PRACTICE

Different work.
The same control.

Start with a workflow your team knows.
Build confidence on your own documents.

Your AI paralegal.

More time for the case.

Turn matter files into useful first drafts and cited research, within the permissions your firm sets.

  • Build a chronology from discovery documents
  • Compare clauses against your preferred language
  • Draft a client update from case notes
Build your local AI workflow
EXAMPLE CONFIGURED WORKFLOWLOCAL + HUMAN REVIEW

Discovery files → reviewed case chronology

Discovery files → reviewed case chronologyRead inputs, process documents, and validate. If checks fail, a human resolves the exception and retries processing. If checks pass, prepare a draft, obtain human approval, then save or import the deliverable. Rejected drafts return for revision.TRIGGER → LOCAL PROCESSING → VALIDATIONFiles arriveApproved matter folderRead & organizeExtract dates and source pagesSources complete?Check dates and citationsPASSFAILResolve missing evidenceAttorney supplies or corrects sourcesRETRYDELIVERABLE ← HUMAN APPROVAL ← DRAFTBuild chronologyCreate a cited document draftAttorney approvalVerify events and source referencesSave case deliverableWrite approved file to matter folderYESCHANGES REQUESTED → REVISE
YOUR WALLS. YOUR RULES.

Keep your intelligence
close to home.

Your documents, prompts, and answers can stay inside your network. We design the full workflow around that promise—not just the model.

  • Local models, retrieval, logs, and backups
  • Access aligned with your existing permissions
  • Explicit control over updates and support access
Explore the security approach
YOUR EXISTING FIREWALL
Your knowledge
Private AI
Your people
Designed to stay on your network
THE DEPLOYMENT MAKES THE DIFFERENCE

Your infrastructure.
Your terms.

Choose where intelligence runs, who can use it, and how you pay for it.

Explore performance & costs
Typical cloud API deployment compared with a Looski local deployment
What mattersCloud model APIsWith Looski on site
Data boundaryRequests sent to a providerLocal inference within your network
Compute costsTypically metered by usageOwned hardware + agreed support
Model choiceProvider’s available modelsCompatible open-weight models
Change controlProvider manages the serviceYou approve model and system updates
ComplianceReview provider and data-flow controlsValidate controls in your environment

Local capacity is finite. Hardware, energy, maintenance, and support still have costs. Compliance obligations remain with your organization.

SMALL FOOTPRINT. SERIOUS POSSIBILITY.

Remarkable silicon.
Practical by nature.

512GB

Unified memory

1.2TB/s

Memory bandwidth

M5 Ultra specifications, reported by Apple ↗

Security starts in the silicon.

Secure boot, the Secure Enclave, and encrypted storage form a strong base for your deployment.

More room for intelligence.

A large shared memory pool makes room for capable open-weight models. We validate fit, speed, and quality on your work.

An office. Not a data center.

A compact enclosure and standard AC power. No server rack required; capacity and cooling are assessed on site.

Useful today. Useful tomorrow.

A capable workstation alongside inference, with resource planning. Redeploy or resell the hardware when your needs change.

WHITE-GLOVE. HUMAN-FIRST.

A powerful machine.
An even stronger team.

Access to AI is the beginning. Knowing what to do with it is the advantage. We work alongside your people to turn possibility into everyday practice.

Meet your implementation partner
01

Understand your work

We map the recurring tasks, sensitive data, and opportunities with your team.

02

Build it around you

We configure the hardware, evaluate models, and connect a first useful workflow.

03

Make your team fluent

Hands-on training, practical playbooks, and internal tools your people can own.

04

Keep getting better

Measure outcomes, refine the system, and expand what works.

THE WHOLE PICTURE

Intelligence you can own.
Economics you can understand.

Compare the total cost of a local deployment with the cloud tools your team would otherwise use. Hardware, implementation, support, and usage—all in the conversation.

Your private AI deployment

A scope built around your team and workloads.

  • Mac Studio with M5 Ultra and 512GB memory
  • Model selection and workflow implementation
  • Security configuration and deployment review
  • Hands-on team training and ongoing support
Build your deployment plan

Compare outcomes.
Not just token prices.

Cloud subscriptions, API usage, concurrency, and local operating costs tell different stories. Our comparison framework makes the assumptions visible.

Explore the comparison
THINKING OUT LOUD

A little more clarity.

All insights

A few good questions.

Can the AI take actions in our systems?

Yes, within workflows we configure and validate with your team. Those can use integrations or scoped computer access to prepare files, enter information, and update records. You decide which actions can run automatically, which require approval, and when the workflow must stop for a human. Available actions depend on your tools and deployment scope.

Does our data leave the office?

The customer deployment is designed to keep inference, retrieval, documents, and operational data on site. We verify that boundary with your team. Optional external tools require explicit approval. This public website and its sales channels use separate services.

Can we use our existing tools?

We start with your workflows and evaluate local integrations. Computer-use permissions, external services, and automated actions are scoped with your team before activation.

Does on-premises mean we are automatically compliant?

No. Local hosting supports control over sensitive information, but it does not replace your organization’s legal obligations, risk assessment, or compliance program.

How fast can we get started?

We begin with a discovery conversation and a representative workflow. Hardware availability, integration scope, and your security review determine the implementation timeline.

YOUR NEXT CHAPTER

What would you take off your desk?

Bring us one recurring task. We’ll map the steps, tools, and approvals.

Build your local AI workflow