Your firm's number, in two minutes.
This free billable hour diagnostic is built for mid-market law firms. Two minutes, your numbers on screen, no sales call unless you ask. The billable hour diagnostic surfaces where workflow leakage in your operation is costing dollars or hours, so the diagnosis-call conversation that follows is concrete. Custom builds for this vertical are one fixed fee from $10,000 (our published price), quoted after the $499 AI-Ready Audit, prototype before payment. ColabContent LLC publishes this page: a boutique AI consulting house in Boston that builds custom systems for law firms of 10 to 150 attorneys.
The $499 AI-Ready Audit comes first; after it, the system that matters most is proven as a working prototype on your own data before any build fee. Production builds are one fixed fee from $10,000, one time, with the code owned by the firm at handoff and no per-seat licence. The $499 AI-Ready Audit is ordered at colabcontent.com/ai-ready-audit/.
Answer 12 questions using honest back-of-envelope numbers. No exact figures needed, we're estimating, not auditing. Your inputs never leave this browser.
This is recoverable revenue, not projected savings.
The total this billable-hour diagnostic calculates is money your firm already earned but couldn't bill, or money that walked because intake was slow. It's already happened, and it's happening again this quarter.
The number isn't automatic, it doesn't close itself. But it is systematically recoverable: most of it is partner-hour misallocation and time-capture gaps that a commissioned system closes in weeks, not years.
The $499 audit turns this into a written diagnosis the same day, then a 20-minute call at no added fee, NDA signed before, memo after either way. Start with the $499 AI-Ready Audit.
What a commission looks like for law firms.
The sections below work through what a commission for a law firm actually involves: the buyer profile, where the dollars and hours leak, the stack a build sits inside, how a commission compares to the alternatives, common misconceptions, compliance notes for the vertical, what engagement weeks look like, and pricing.
The buyer profile, in one paragraph.
Mid-market law firms in the 20 to 150 attorneys band sit in the buying gap that defeats both off-the-shelf SaaS (software you rent by subscription) and Big Four consulting. The managing partner, firm administrator, or director of innovation has the budget to commission a custom system but not the in-house engineering bench to build one. The seat count is wrong for per-seat SaaS economics. The workflow is custom enough that horizontal AI products lose a meaningful share of their value to misfit. This is the band ColabContent commissions builds in: fixed fee, working prototype on the operator's real data inside seven to ten days, code owned by the operator at handoff.
Where the dollars and hours leak.
For law firms the leakage concentrates in intake to matter routing, conflict checks, document automation, matter-to-template matching, timesheet reconciliation, partner reporting. The pain points worth quantifying on an audit call are unbilled partner time, intake misrouting, PDF data extraction at scale, conflict check turnaround. None of these are abstract. Each one shows up as a measurable number on the operator's monthly P&L or capacity plan once we look for it.
Inside these builds, associates who used to spend real drafting time by hand on an engagement letter now do it in minutes, and partners get through meaningfully more of their review queue in the same block of time. These are not roll-up (a group of businesses bought and combined by one owner) case-study numbers. They are post-handoff patterns observed in production systems, in the operator's own environment, on the operator's own data, months after the system went live.
The stack the build sits inside.
Law firms typically run on some combination of iManage, NetDocuments, Clio Manage, Litify, Salesforce. The commissioned system is built to integrate with the operator's actual stack, not to replace it. ColabContent does not sell a platform; we commission a custom layer that sits on, beside, or inside the existing systems and addresses the specific constraint the audit identified.
Integration depth varies by engagement. A read-only data layer that pulls structured records out of the existing system and writes nowhere is the lightest touch and the fastest to ship. A bidirectional integration that drafts records back into the system after human approval is the most common pattern. A fully autonomous workflow that closes the loop end-to-end without human-in-the-loop review is the heaviest touch and is reserved for tasks where the failure cost is bounded and the audit trail is structured.
How a commission compares to the alternatives.
The law firms market has four real alternatives to a custom commission. Each has a buying pattern that fits a particular operator profile.
Off-the-shelf AI products (Harvey, Legora, Spellbook, Gavel, Clio Duo, MyCase AI are the most-cited names). Strong fit for operators whose workflow matches the product's calibration target, which is the larger end of the category. Per-seat or per-user pricing scales aggressively. The operator does not own the code or models. Strong on horizontal features (drafting, review, lookup); weak on operator-specific workflow.
Internal AI hires. Right answer for operators with a large multi-year AI investment runway (an internal budget line, not a ColabContent estimate) and a willingness to spend twelve months building infrastructure before shipping the first production workflow. The internal hire owns adoption, governance, and the next twelve months of evolution. A commission and an internal hire are not substitutes; the commission ships the first system, on schedule, while the internal hire builds the second.
Big Four consulting engagements. Right answer for large enterprises well above the mid-market band, where stakeholder counts justify strategy and build engagements priced far above ours (a general industry range, not a ColabContent quote). Wrong economic structure for the mid-market band.
Boutique commissioning houses (we are one). Right answer for the established mid-market operator with a known constraint, a senior owner-operator decision-maker, and a posture of running the system inside the operator's own cloud tenant (a private cloud account) under NDA. Fixed-fee, prototype before payment, owned code at handoff.
Common misconceptions buyers walk in with.
AI replaces associates. This is the most common misread. Across every engagement to date the pattern has held: operators reclaim senior capacity, then choose to grow into the recaptured capacity rather than reduce headcount. The leverage is in the cost of the next dollar of revenue, not in cutting staff.
Document automation is a solved category. The off-the-shelf products are excellent at one specific slice. The operator-specific workflow that bridges that slice to the rest of the operation is what the commission addresses. The right comparison is not "product versus product"; it is "product as one layer in a larger custom system."
AmLaw playbooks port to mid-market. The largest operators in the category run on stacks, workflows, and budgets that do not port down. Their case studies are interesting; they are not predictive of a mid-market outcome. The right reference engagements are operators in the established mid-market band, in the same vertical, with the same stack family.
Generative AI is too risky for legal work. Risk and confidentiality are addressed by where the system runs, what data crosses the boundary, and what model selection is allowed. The build runs inside the operator's own cloud tenant under NDA. Client data does not leave that environment. Model selection (open-weight, closed-weight, mix) is part of the diagnosis and constrained by the operator's confidentiality posture.
Regulatory and compliance notes for this vertical.
The commission accounts for the regulatory environment of law firms from the audit onward. State bar advertising and unauthorized practice rules; client confidentiality under Model Rule 1.6; ABA Formal Opinion 512 on generative AI use. We do not commission systems that put the operator on the wrong side of a regulator or a state board. Where the right move is no AI, we say so and the engagement does not proceed.
What the engagement looks like, week by week.
Week 0. The $499 AI-Ready Audit. Both sides leave with the constraint written down in a sentence. Either party can stop here at no cost.
Week 1. NDA signed, representative data slice provided. Prototype begins on the operator's real data, not synthetic. The principal is hands-on.
Day 7-10. Working prototype ships. The operator sees the system actually perform the constraint task on real data before any payment changes hands. If the prototype does not perform to the target written down after the audit, the operator owes nothing and keeps the work product.
Weeks 2 through 7. Production build runs. Standard cycle 5 to 7 weeks. The principal continues to lead. There are no account managers, no junior staff running the build, no offshore hand-offs.
Handoff week. Code, prompts, models, datasets, runbook (a step-by-step operating guide for the system), and integration documentation transfer to the operator. The system is owned by the operator at handoff. Optional care after handoff is $997 a month and cancels on 30 days notice.
Pricing for this vertical.
Fixed-fee commissions start from $10,000, scoped against the constraint identified in the $499 AI-Ready Audit and the integration depth required. There is no per-seat pricing, no proprietary runtime to license, no annual renewal. The fee is paid in two installments: one at production-build start (after the prototype works), one at handoff.
Operators considering the work typically compare it against the all-in cost of one of the four alternatives above. The math that wins is not "lower than" but "owned at the end." A SaaS subscription compounds. A custom commission is paid once.
Further reading inside the site.
- Best AI consultants for mid-market law firms
- ColabContent vs Harvey AI
- Legora vs Harvey for mid-market
- Spellbook vs custom AI for law firms
- iManage AI integration playbook
- NetDocuments AI workflow playbook
- Clio AI integration playbook
- Salesforce Litify AI playbook
- Billable-hour recovery diagnostic for law firms
- AI for law firms hub
Before you book the audit call.
These are the questions firms ask most before ordering the $499 AI-Ready Audit: what the diagnostic worksheet checks, how ColabContent's references hold up, what happens if the prototype or the finished system does not perform as expected, and what the firm is asked to provide along the way.
How much should the partner decide alone?
Enough to order the $499 audit and join the call afterward.
How do we check ColabContent's references?
Jim Glaser Law took 3,787 calls; another platform we built runs 13,296 matters.
How is overage risk scoped?
By the four leak categories above and integration depth chosen, priced in before the prototype starts.
What happens a year after handoff?
Nothing: the firm owns the code. Optional care after is $997 a month, cancel on 30 days notice.
When is a commission the wrong call?
When the numbers are small or confidentiality rules out the models needed. The audit says so and we stop.
What does this worksheet check?
Twelve known numbers: partners, associates, rates, admin hours, unbilled percent, intake speed, matter volume.
What should a firm bring to the audit call?
The firm's stack and rough matter volume; the $499 audit turns that into a diagnosis in 3 days.
What if the prototype doesn't fit?
It ships on real data first. Missing the target means the firm owes nothing and keeps the work.
What if the system stops working properly after handoff?
The firm owns the code and can maintain it in house at no added cost, or add optional care at $997 a month, cancel on 30 days notice, to have us keep it running.
What's expected of the firm?
A signed NDA, a real data slice, and someone to answer intake questions; no project team needed.
Does this replace paralegals or associates?
Not in the pattern we've seen; firms reclaim admin hours and grow into that capacity instead.
The 20-minute call after your $499 audit.
On Zoom, under NDA. The $499 audit comes first; this call, at no added fee, is where you describe your firm and we sketch the system. You leave with a memo and a plan either way.