Industry
AI for law firms.
Law firms run on documents, deadlines, and billable hours. Three things AI is unusually good at supporting. We ship workflows that recover hours and shorten cycle times without ever touching client confidentiality.
Where the money is leaking
Three places law firm businesses lose money every week.
Unbilled hours
Most firms lose 4 to 7% of billable time to reconstruction, missing narratives, and stale timers. On a 20-attorney firm that is roughly $600K a year walking out the door quietly.
Slow intake-to-engagement
Average cycle sits at 3 to 5 business days. Roughly one in eight qualified leads signs with a competitor inside that window. The follow-up you didn't send is the case you didn't win.
Over-lawyered first drafts
Associates and paralegals spend 40%+ of their week on assembly work that could start from a firm-trained draft. That is capacity you are paying for and not billing at senior rates.
Highest-payback workflows
What AI does inside a law firm business.
- 01
Intake, conflicts, and engagement letters
The problem: Intake sits in email, conflicts checks wait on a free partner, and the engagement letter goes out days after the first call.
What we build: An intake agent that runs inside Clio, captures structured data on first contact, runs conflicts against Clio and NetDocuments, and drafts the engagement letter from matter type.
Typical payback: End-to-end cycle drops from 4.7 days to under 24 hours. Typical lead-conversion lift of 8 to 12%.
- 02
Document drafting and precedent retrieval
The problem: Precedent is organized by matter, not by clause. Two attorneys drafting the same agreement start from different templates and produce different terms.
What we build: A precedent-aware drafting layer over NetDocuments with clause-level retrieval. Built on Harvey or Spellbook plus a firm-trained retrieval layer.
Typical payback: First-draft time down 55 to 65%. Precedent consistency measurably higher within one quarter.
- 03
Discovery and e-discovery review
The problem: The litigation group burns hundreds of hours per matter on first-pass review, most of it on documents that turn out to be non-responsive.
What we build: A two-stage triage on Everlaw, DISCO, or Relativity aiR: responsive, likely-not-responsive, and privileged-candidate. Attorney review only on the first and third.
Typical payback: Review hours cut 50 to 60% per matter. Outside review vendor spend down materially in the first year.
- 04
Passive time capture and billing narratives
The problem: Attorneys reconstruct time weekly. Narratives fail the firm's own billing guidelines and realization slips by several points.
What we build: Passive capture across Outlook, Word, Teams, and NetDocuments, drafted narratives checked against firm billing standards, daily approval instead of Friday scramble.
Typical payback: Recaptured hours: 5 to 8%. Realization lift of 3 to 5 points inside two billing cycles.
- 05
Role-specific AI fluency for attorneys and staff
The problem: Attorneys have played with ChatGPT and drawn wrong conclusions. Paralegals and intake are still doing everything manually because nobody trained them on the tools they actually use.
What we build: A role-by-role curriculum tied to the workflows each role owns: partners on oversight, associates on drafting and research, paralegals on assembly, intake on triage.
Typical payback: Firm-wide fluency in 6 to 8 weeks. Adoption of every subsequent implementation is 2 to 3× faster.
Why now
The window matters more in law firm than most people realize.
Two or three regional peers in every market are already investing in this. Firms that move now compound the margin advantage across every matter for the next five years; firms that wait spend those same five years catching up on infrastructure their competitors already own. The specific risk for law firms is that AI-native newcomers price transactional work aggressively while established firms are still billing hourly on it. The audit exists to show you which two workflows to move on this quarter so the gap starts closing immediately.
How we work with law firm businesses
Three steps, no long consulting engagement.
01
AI Profitability Audit
A 30-minute discovery call, a written audit specific to your firm, and a Zoom session with an AI engineer. You leave with a prioritized roadmap and a confidential handling plan.
02
First workflow live in 4 to 6 weeks
We ship one high-payback workflow to production, usually intake or billing capture. Owned by you, integrated with your existing stack, no new platform to buy.
03
Firm-wide rollout on your timeline
Additional workflows and role-specific training are sequenced by payback. You never sign a long consulting engagement, and you can stop after any milestone.
Common questions
What law firm owners ask before booking.
- How do you handle client confidentiality and privilege?
- Every system runs on tooling appropriate for privileged data, with isolated inference, no training on your content, and credentials owned by the firm. We put written safeguards in place before any privileged matter data goes near a workflow. Firms in regulated states or with healthcare or finance clients get additional controls.
- Will AI hallucinate on legal work?
- Generic consumer chatbots do. The systems we build are grounded in your matter data, your precedent, and cited sources. Draft output ties back to the specific clause or authority it came from, so the reviewing attorney can verify in one click. AI does not replace attorney judgment. It removes the 3 hours of assembly work that surround 20 minutes of it.
- Do we need to switch practice management systems?
- No. We build on top of Clio, NetDocuments, iManage, Aderant, and Elite 3E. If it exposes an API or a webhook, we use it. If it does not, we usually still find a way. Switching systems is not a prerequisite for capturing the ROI.
- What about the ethics rules on AI use?
- We draft the firm-wide AI use policy as part of the first engagement, including client disclosure language and a documented audit trail for AI-assisted work product. This is table stakes for defensibility and it is included in the audit output.
Book your law firm AI Profitability Audit.
An assessment call, a written audit tailored to your law firm business, and a Zoom session with one of our AI revenue engineers. $97, one time. Refunded in full if we can't find $97 of savings, efficiency, or new revenue inside your business.