Law Firms
AI that gives hours back to the billable day.
Intake captured once, conflicts screened in minutes. Precedent retrieval over your own work product. First drafts that start at 80% instead of zero. Admin that stops billing you in opportunity cost.
We do not have a roster of firm logos to show you. What we have is a model: start with one workflow, project the time savings at your billable rates before we build anything, deliver in a fixed sprint, and stay accountable after launch.
Based in Canada? Government programs may be able to offset the cost โ see Grant-Backed AI โ
Privilege & compliance
Law firms have obligations most businesses do not: solicitor-client privilege and confidentiality duties that survive any vendor relationship, plus PIPEDA obligations on personal information. Every ReadyIQ engagement starts from that constraint. No client files or privileged material leave environments the firm approves, no third-party AI service touches matter data without a documented data-handling agreement reviewed by the firm, and a lawyer reviews every output before it reaches a client or a court. We build workflow and retrieval systems โ we do not give legal advice, and our tools do not either. Engagements are structured for Ontario professional corporations and firms across Canada.
Where we focus
The work eating hours nobody can bill
Each of these is a documented, solvable problem. The question is which one to address first.
Precedent research starts from zero every time
The firm has solved this problem before โ the work product is in closed matters nobody can find. We build retrieval over your own precedent bank so lawyers start from the firm's best prior work, with sources cited for review. Research support, never legal advice.
Intake and conflict checks are slow and manual
New-matter details get collected by email, re-keyed into the practice management system, then conflict-checked by someone searching names by hand. We build intake that captures the matter once, runs structured conflict screening against your matter and contact history, and routes the result for lawyer sign-off.
Document drafting and review consume associate hours
First drafts of routine documents โ engagement letters, standard agreements, demand letters โ are assembled by hand from old files. We build drafting workflows that generate the first pass from your firm's templates and flag clause deviations for review. A lawyer reviews everything; nothing goes out unread.
Unbillable admin carries a $300โ800/hr opportunity cost
Every hour a lawyer spends on status updates, time-entry narratives, and file chasing is an hour not billed at your rate. We automate the administrative layer โ draft narratives, client status notes, outstanding-items tracking โ so the billable day gets longer without the workday getting longer.
What we build first
Three workflows most firms start with
Concrete builds, not a platform pitch. Each comes with a savings estimate scoped to your firm before the sprint begins.
Intake + conflict screening
One structured intake captures the matter, screens names against your existing matter and contact data, and routes a conflict summary to the responsible lawyer for sign-off.
Expected return: Mapping at small firms typically surfaces 2โ4 admin hours per new matter. Your number is estimated and documented before we build.
Firm precedent bank + research support
Retrieval over your own closed-matter work product. Lawyers query in plain language and get the firm's prior drafting and memos back, with sources, as a reviewed starting point.
Expected return: Where associates spend 4โ8 hours a week locating prior work product, a structured precedent bank usually cuts a meaningful share of it. We measure your baseline first.
First-draft document assembly
Routine documents generated from firm templates and matter data, with deviations from your standard clauses flagged for review. Drafts queue for a lawyer โ nothing is auto-sent.
Expected return: First passes in minutes instead of the better part of an hour. The per-document estimate is built from your actual volume during mapping.
Illustrative scenario
What this looks like for a small firm
A representative scenario, not a specific client. It shows how the engagement model applies to a common pain point.
Illustrative ยท Representative, not a specific client
A four-lawyer Ontario firm opens a handful of new matters a week. Each one means an intake email thread, manual re-keying into the practice management system, and a conflict check that depends on someone searching name variants by hand. The clerks spend hours on it; the lawyers spend billable time supervising it.
We start with intake and conflicts. Map the current path from first call to opened file. Identify where the same data is entered more than once and where the conflict search misses name variations. Estimate the hours โ clerk time at clerk rates, lawyer time at lawyer rates. If the math holds, we build: one structured intake, automated conflict screening against the firm's own data, and a sign-off queue for the responsible lawyer.
The engagement runs 6 weeks at a fixed price, with data-handling boundaries documented and reviewed by the firm first. After launch, matters open in hours instead of days, and the conflict record is consistent on every file.
Firm workflow
The workflow we automate for you
From first contact to filed work product โ the four stages we map and automate, with lawyer review built in.
How we work
The ReadyIQ model for law firms
Four commitments that apply to every engagement. Operational, not aspirational.
One workflow first
We start with the process costing your firm the most unbillable time โ usually intake or precedent retrieval. Map it, estimate the savings, get your sign-off before we build anything.
ROI before you pay
Before the sprint begins, you see a documented estimate: lawyer and clerk hours per month, valued at your rates. If the numbers do not add up, we say so.
Fixed sprint, known cost
The engagement runs 4โ8 weeks at a fixed price. No open-ended retainers. You know the cost before we start.
Post-build monitoring
After launch, we monitor for drift and exceptions. Automations break when source systems change. We stay on it so your team does not have to.
Deliverables
What every engagement includes
Fixed scope means a defined list. Here is what you receive.
- Process map with time-per-step and automation opportunity scoring
- Built and tested automations deployed to your environment
- Exception-handling logic and alerting for edge cases
- Data-handling boundaries documented and reviewed with the firm before any build (PIPEDA and privilege-aware)
- Runbook: what each automation does, how to monitor it, what to do when it flags
- Training session for lawyers, clerks, and admin staff
- 30-day post-launch monitoring window
Canadian grant angle
Federal, provincial, and regional programs may offset part of the cost of an engagement like this for a Canadian firm. Eligibility, amounts, and timing are determined by the program administrator โ not by us, and we will never promise an approval. What we do: scope the work first, and if a program plausibly fits, structure the deliverables so the paperwork is clean.
See how Grant-Backed AI worksStart here
See what AI is worth to your firm
The free scorecard takes 5 minutes. It identifies which workflows in your firm have the highest automation potential โ and gives you a concrete starting point.
No commitment. The discovery call is 30 minutes. If the ROI math does not work, we will say so.