Bilbs AI

One line. From $99 per lawyer.

You’re not paying for GPUs or models, but for the platform and AI layer: software, deployment, training, updates and support.

Ship-or-refund guarantee

If the pilot group doesn’t hit the acceptance criteria we agreed on in the first week, the firm gets a 100% refund, no meetings, no lawyers, no awkward email. We carry the risk.

A typical invoice
Line 01
Bilbs, everything to run private AI for the firm
Audit, deployment, indexing, on-site training, updates, model refresh, retraining when you add new files, security patches, monitoring, backups, support within 4 hours, 24/7 emergency line, the audit log. Goes up only if the firm adds optional services (below). Cancellable on 30 days’ notice.
from $99 Transparent, one line
/ lawyer / month
Hardware
The server itself, yours, or we source it
After the audit, the firm chooses: deploy onto a GPU-capable server you already own, or have us source and install one (separate, transparent quote at OEM cost, with the OEM’s 3-year warranty). Either way, the per-lawyer line stays the same. We don’t mark up the GPU.
Audit-first
your call after

How the math works: Everything Bilbs does for the firm, audit, deploy, train, update, support, sits in one per-lawyer line. The hardware is the firm’s asset, not a vendor-locked rental: it’s either already in your server room, or we’ll quote you the OEM list price for it. Our margin lives in the per-lawyer line, and the hardware stays your asset, on your own server.

Day one
Audit

No upfront fee. We audit the firm, propose the deployment plan, and tell you which hardware path fits. You sign only when you’ve seen the spec.

Every month · 60-lawyer firm
$1,740 / mo

60 lawyers × $99. One line on the invoice. Infrastructure billed separately, yours if you have a server, OEM-cost quote if we source it.

If you add services
À la carte

Fine-tuning on a niche practice area, high-volume transcription, multi-office sync, storage expansion, only added when the firm asks. Each one on its own line.

[ Optional · if and when you want them ]
Storage expansion

When the corpus outgrows the chassis.

Drop-in NVMe expansion or an additional storage shelf. Priced at hardware cost plus install. The firm’s indexed memory keeps growing without touching the tier.

Additional office

Per-office node, central sync.

For multi-office firms: a node per location with encrypted cross-office synchronization over private network. The Toronto office queries the Montréal precedents, without either dataset leaving Canada.

AI fine-tuning

Premium tier · custom model behaviour.

For firms that want the model to write in a very specific house style, or that operate in a niche practice area. We fine-tune on the firm’s corpus, weight critical document classes, and re-evaluate every quarter.

Transcription credits

High-volume meeting capture.

The base tier handles regular meeting load. For litigation firms running 80+ depositions a month, additional Whisper capacity is billed as usage-based credits, still entirely on-premise, no cloud transcription ever.

None of these are required. The base subscription, from $99 / lawyer / month, covers what most firms need for years. Expansion lines exist so the firm doesn’t outgrow the platform on the corpus side or the workload side. Each one shows on its own invoice line, never folded into the base.

[ The alternatives ]

How we compare to Harvey.

Your lawyers already use AI. The real question is where it runs, what it knows, and what you can prove to a client.

Cloud legal AI Harvey
With Bilbs On your hardware, or your AWS account
Purpose-built for legal work ✓ Yes
Purpose-built for legal work ✓ Yes
Citations on every answer ✓ Yes
Citations on every answer ✓ Yes
Where the AI runs Cloud-hosted service.
Where the AI runs Your hardware, or your AWS account.
Runs fully offline (air-gapped) Needs an internet connection.
Runs fully offline (air-gapped) ✓ Yes, cable unplugged.
Where your data is processed In the vendor’s cloud.
Where your data is processed Inside your own walls.
Pricing Enterprise, on request.
Pricing From $99 / lawyer / month.

Harvey is an excellent cloud legal-AI platform. The difference is sovereignty: it runs as a hosted service, while Bilbs installs on the firm’s own hardware (or your own AWS account), so privileged data never leaves your walls and stays under the firm’s control. The comparison reflects each product’s delivery model; cloud feature availability varies by plan, so confirm details with the vendor. Harvey™ is a trademark of its respective owner, used here for identification only. Bilbs is not affiliated with or endorsed by it.

[ 06 - Competitive positioning ]

Compared to everything else on the table.

vs. general-purpose AI

No client data leaves the firm.

No exposure to third-party model-training pipelines. Citations are mandatory. General-purpose assistants like ChatGPT are good all-round tools, Bilbs is the confidential layer the firm puts around them so privileged work stops leaking into someone else’s data centre.

vs. Traditional legal ERPs

The AI actively understands the corpus.

A practice management system is a database. Bilbs is a system that reads the database, and the documents, and the emails, and the meeting transcripts, and answers in natural language with citations. It’s not a passive store; it’s a queryable memory.

vs. Cloud-based legal AI tools

Fully offline architecture.

Aligned with Loi 25 by design, not by promise. The cloud-legal-AI category answers data-residency questions with contracts and trust-centre pages. Bilbs answers them with a server sitting in your office.

vs. In-house IT building it themselves

Productized, supported, financed.

A one-off internal project ships, then drifts. Bilbs is continuously improved, model refreshes, security patches, runbook updates, under a support SLA. Your IT director gets to focus on the firm, not on babysitting a custom AI stack.

[ 08 - What the partnership will ask ]

The real questions.

“This sounds expensive.” +

The firm is not paying for GPUs or models, it is paying for confidentiality, governance, operational leverage, and risk reduction. The price the firm sees on the invoice is one line: from $99 / lawyer / month. That covers the audit, the deployment, on-site training, updates, support, the audit log, the 24/7 pager, everything that makes the AI run for the firm. It goes up only if the firm chooses additional services. Infrastructure is billed separately: if you already have a GPU-capable server, we use it; if you don’t, we quote you the OEM cost on a separate page, no markup. For a 60-lawyer firm: 60 × $99 = $1,740 / month, transparent and on one line. One day of avoided billable-time leakage pays for a quarter of subscription. A single Loi 25 incident carries a maximum fine of $10M or 2% of worldwide revenue, that’s the real frame on the cost question.

“We already have an AI policy.” +

A policy describes what people should do. A system decides what people can do. Survey after survey shows most lawyers use AI in spite of the firm’s policy, because the policy says no, but the tool that’s in front of them at 9 pm says yes. The Box flips that around: it gives lawyers an AI they actually prefer (because it knows the firm’s own precedents and writes in the firm’s voice). The policy becomes something the system can enforce, not just a paragraph in an email.

“How is this different from Harvey or other cloud legal AI?” +

Harvey and the other cloud legal-AI tools are strong products. The difference is architectural: they run as hosted cloud services, while Bilbs installs on the firm’s own hardware (or your own AWS account). That means privileged data never leaves your walls, the model is fine-tuned on your precedents and yours to keep, you get an on-prem audit log of every question, and it can run fully offline. Firms choose Bilbs when data residency, Loi 25, or a client’s AI questionnaire requires the AI to live inside the firm rather than in a vendor’s cloud. Side-by-side analysis in the compliance audit.

“What if it gives wrong answers?” +

Every answer is grounded in and cited to the firm’s own files. If it can’t ground an answer in the firm’s own indexed material, it says so rather than inventing one, which dramatically reduces the hallucinated-paragraph problem that gets lawyers in trouble with ChatGPT. Because grounding isn’t a guarantee, the lawyer always clicks through and reads the cited source before anything goes out, the same review a senior partner does on a junior’s draft today, just on a draft that’s minutes old instead of hours old. The Box is a first drafter, never a decider. Human oversight remains mandatory on every legal work product, that statement sits in the application, the onboarding kit, and the terms of service.

“What happens if Bilbs goes out of business?” +

Your deployment runs on your own infrastructure, your hardware on-premise or your AWS Bedrock account. The software is licensed to your firm and lives in your IT’s repository; on local deployments the trained model is yours to keep. A 30 to 50 page runbook lives on the shared drive. If we close shop tomorrow, everything your firm uses today keeps working.

“Our associates won’t adopt it.” +

Your associates are already using AI, they’re just doing it in browser tabs the firm can’t see. The real question is: will they prefer the firm’s AI to the public one? Yes, because the firm’s AI knows your precedents and your matters. It can answer “how did we handle the Smith file in 2022”, ChatGPT can’t. In our design-partner deployments, early adoption is strong. Training is included: two sessions per practice group, on-site.

“Too disruptive to deploy.” +

Typically nine weeks from the signed plan to the day the AI goes live for the firm. Day one looks identical to the day before, lawyers open a tab in the browser, just like they open Outlook. Billing, time entry, and the document system don’t change. One practice group tries it first; the rest of the firm rolls in when that group signs off. Your IT director’s weekend isn’t on the hook, we install, we stay on call, we own the runbook.

“We’re going to wait and see what happens with AI.” +

Waiting is itself a decision, and it costs something. Every month, your associates keep typing client matters into ChatGPT. Every month, another firm on Bay Street or Côte-des-Neiges deploys this and starts answering client AI questionnaires with a better answer than yours. The free 45-minute call is the lowest-commitment way to find out where your firm actually stands, you walk away with a written assessment whether you proceed or not.

“Paperwork, IP, warranty?” +

Mutual NDA signed within 24 hours of your first call. The MSA and the privacy agreement are bilingual (French + English) and already Loi 25-aligned. The firm owns the trained AI outright at the end of the lease, full IP transfer on final payment. The hardware carries the manufacturer’s 3-year warranty; we handle the paperwork if anything breaks. Based in Montréal, Eastern time. Response under 4 hours, emergencies same-day.