What does Aakar Tech do?

Aakar Tech is a senior engineering and private AI studio in Abbotsford, BC. We engineer private, on-premise document search for legal, CPA, and medical practices, 24/7 conversational voice AI receptionists (GreetQ), and high-converting bespoke digital platforms for Fraser Valley industry.

Do you only work with Abbotsford businesses?

Abbotsford is home base, but we regularly work with shops across Chilliwack, Langley, Surrey, Mission, Maple Ridge, and the wider Fraser Valley. Remote kickoffs are fine — most of the work is digital.

How much does a website cost?

Every project gets a flat written price before work starts. Scope depends on pages, content, booking or quote forms, and whether you also want AI phone or SEO. Book a free check-up and you’ll get a clear number — not a vague range.

What is the free check-up?

A short review of your missed calls, website, and Google listing. You’ll hear what’s leaking jobs and what to fix first. If things look solid, we’ll say so — no pressure pitch.

Can you set up AI phone answering for my business?

Yes. We configure AI reception so after-hours and missed calls still get answered, job details are captured, and your team gets a text when the call ends. Built on the same stack as GreetQ, our own AI phone product.

I tried an AI tool before and it didn't stick. Why is this different?

Usually the tool was fine and the setup never happened — configuring it became another job for the busiest person in the building. We build the workflow for you, run it on your real customers first, and only automate work that is rule-shaped enough to run without you checking it. Judgement calls stay with you on purpose.

What can you actually automate in my business?

The repeating admin that eats evenings: generating and chasing invoices, routing new enquiries so nothing is lost, day-3 and day-7 quote follow-ups, instant alerts when a high-value request comes in, and new-customer welcome, booking and reminder flows. We map your week first, then automate the one costing you the most hours.

Harman — the founder who designs and builds the work. No junior handoffs and no account-manager chain.

Can you set up private AI for law firms and clinics in BC?

Yes, and it starts with a paid assessment rather than a quote. We put your compliance obligation in writing, then decide with you whether the build runs on hardware you control or as a single-tenant deployment in a Canadian data centre — contracts, tax files, and patient records go to neither a shared cloud model nor a training pool. Then a pilot on your real documents, then full rollout. Built around PIPEDA, privilege, and clinic record-keeping requirements.

How much does private document AI cost?

Discovery runs $2k–$3.5k. A pilot on a limited document set is usually $6k–$12k. Full production installs for SMB firms typically land between $5k and $15k total depending on document volume, access rules, and hardware. Every phase gets a flat written price before work starts.

Is this different from ChatGPT or Copilot?

Completely. Public AI tools send your prompts — and anything you paste — to their servers on terms you did not negotiate. A private build indexes only the files you authorize and answers with citations from your own documents, and it runs where your assessment says it may: on hardware you control, or in a single-tenant Canadian deployment. That boundary is written down and agreed before anything is built.

Are review asks and outreach CASL-compliant?

Yes. We only message people with a real relationship to your business — finished jobs, existing customers, opted-in leads. Every flow includes opt-out, and we do not buy cold lists or run spam blasts.

Private Document AI for BC Law Firms & Accountants: The PIPEDA Compliance Guide

Why Public AI is a Compliance Hazard for BC Professional Practices

When lawyers, CPAs, or clinic directors paste matter documents, client tax filings, or patient records into consumer AI tools like ChatGPT or generic cloud copilot systems, they are often unaware of the contractual and statutory consequences under Canadian law:

PIPEDA Violations: Personal Information Protection and Electronic Documents Act (PIPEDA) mandates strict safeguarding, data custody, and accountability for personal information. Storing or routing Canadian personal identifiers through multi-tenant foreign cloud endpoints violates consent parameters.
Breach of Solicitor-Client Privilege: Transmitting confidential discovery documents or legal memoranda to third-party public AI providers risks waiving privilege under BC Law Society standards.
Training Data Contamination: Most cloud SaaS agreements reserve rights to store, analyze, or train future model iterations on input prompts unless enterprise carve-outs are negotiated at prohibitive expense.

To solve this, modern Canadian firms are shifting to Private Document AI architectures designed specifically for localized, compliance-first operations.

The Three Deployment Architectures for Canadian Professional Firms

At Aakar Tech, we architect document intelligence across three distinct infrastructure tiers depending on your regulatory posture:

1. Air-Gapped On-Premise Hardware (Zero Data Leaves Your Office)

For firms with sensitive litigation files, merger agreements, or confidential criminal defence matters, the entire model and vector indexing engine runs on a dedicated, secured machine within your physical office network.

Data Flow: Local documents -> Local embedding model -> Local vector database -> Local LLM inference.
External Exposure: Absolutely zero internet egress. Files never leave your local ethernet.

2. Single-Tenant Canadian Data Centre (Canadian Cloud Sovereignty)

For multi-office firms across Vancouver, Surrey, and Abbotsford requiring remote practitioner access, models run in dedicated, isolated instances hosted strictly within Canadian borders (e.g., Montreal or Toronto AWS/Azure/GCP sovereign zones).

Compliance: data stays resident in Canada. No shared tenancies, no shared memory pools.

3. Role-Based Vault Retrieval (Matter-Level Security)

Not every partner or associate should see every file. A private document AI must respect folder permissions and ethical walls:

Practice areas (Family Law, Corporate, Real Estate) are indexed into segregated, encrypted namespaces.
Access audits log every query with timestamps, user identities, and citation references.

How Private Document AI Retrieves Precedents with Verifiable Citations

Unlike generic chatbots that guess or hallucinate answers, an enterprise retrieval system uses Retrieval-Augmented Generation (RAG) grounded strictly in your firm's verified archive:

OCR & Multi-Format Parsing: Your PDFs, Word documents, scanned exhibits, and historical case filings are scanned and converted into searchable semantic embeddings.
Semantic Search: When an attorney asks: "What indemnification language did we use in the 2024 commercial lease for the South Fraser development?", the engine scans thousands of pages in milliseconds.
Exact Page Citations: The AI presents the exact contractual clause alongside clickable references to the original PDF page number.

Starting with an AI Assessment Before You Build

We believe no professional firm should buy AI software off-the-shelf without a technical roadmap. That is why every deployment at Aakar Tech begins with a 2-Week AI Readiness & Compliance Assessment:

We review your current document repositories (Clio, Caseware, Windows File Shares, Google Drive).
We map data sensitivity levels and privilege obligations into a written compliance blueprint.
We establish a flat, transparent deployment budget ($5,000 to $15,000 total) with 100% of the assessment fee credited directly to the build.

Learn more about our Private Document AI Solutions, review our Executive Engagement Pricing, or book your firm's technical review on our Client Intake Portal.