34%
of professional-services workers report using unsanctioned AI tools
Thomson Reuters Institute · 2026Private AI for law firms
Private AI for law firms: privilege stays inside your firm.
Your matter files, drafts, and client emails never reach a public AI provider. Installed in your building, adopted in 90 days, guaranteed.
For professional-firm In-Building installations of 10 to 75 professionals. The written 90-day time-recovery target and participation requirements govern the guarantee. Data location alone does not establish privilege or satisfy professional duties.
30 minutes · No preparation · No client data
Private AI inside your walls2:04
Captions are included in the video.
The problem
Client work needs an approved boundary.
33%
name data privacy and security the top barrier, up from 23%
Bluevine 2026 Business Owner Success Survey23%
have had a security or privacy issue since adopting generative AI
Xero Future Focus AI researchYour work
Three workflows your attorneys can review.
Document drafting from approved templates
Draft engagement letters, standard motions, and correspondence from your firm’s approved templates. The attorney reviews the draft before it is used.
Designed outcomeLess time on the first draft
Summarizing long records
Turn discovery, depositions, and contracts into review notes and open items. Your team checks the summary against the source record.
Designed outcomeLess re-reading before review
Client communications
Prepare status updates and explanations in your firm’s voice. The attorney reviews every word before anything leaves your firm.
Designed outcomeLess inbox drag
Why private AI
Private AI, not public AI. Six reasons.
Your data stays yours
Nothing your team types, uploads, or asks ever reaches a public AI provider. It lives on your machine, in the United States.
Trained on your business
USA-sourced open-weight models, trained on your documents, your process, and your voice, so the answers are yours, not generic.
Nobody else's model, nobody else's prompts
Your AI runs for your company alone. No shared model, no one else's data in it, no one else's questions on it.
No per-seat meter
One private AI for the whole team. Add people, not subscriptions.
Terms that cannot change on you
No policy update from a provider can change where your data lives or what it can be used for.
Built and managed for you
We set it up, train it on your business, host it, secure it, and keep it current. You use it.
How it works
From first conversation to everyday use.
01
Fit call
30 minutes. No preparation. No slides. No client data.
02
Assessment
Two weeks, remote, with a written report.
03
Implementation or installation
The assessment scopes Cloud implementation or In-Building installation.
04
Managed for you
Updates, security, support, and new use cases. Quoted in your assessment.
How we handle wrong answers
What happens when your AI is wrong.
It will be, sometimes. Here is how it is built so that being wrong is cheap to catch and never reaches a client.
Every answer shows its source
The passage comes from your document. Your retrieval system pulls it from the actual file. Your model does not write the source passage.
It says 'I don't know'
When your documents do not contain the answer, your AI says so instead of guessing.
A person approves anything that leaves
Nothing goes to a client without approval from your named reviewer.
You get your own number
The first ninety days record how often drafts are accepted without correction, workflow by workflow. You decide where to rely on your AI.
Your people can talk to it. Only administrators can change it. Every question, answer, and change is logged.
Your AI can only see what you can already open. Permissions come from your systems, not from the AI.
It learns how your firm writes. It looks up what your firm knows, one question at a time, only from documents the person asking is allowed to open.
The 90-day Absorption Method
A written target. Measured in hours returned.
For CPA, law, insurance, and wealth management firms of 10 to 75 professionals on the In-Building track. We agree to a written 90-day time-recovery target. If the target is not met and participation requirements were satisfied, we keep working at no additional charge. Cloud has no guarantee.
Baseline
Measure three workflows and agree to the time-recovery target in writing.
Adopt
Train champions, redesign the approved workflows, and address friction each week.
Review
Use the dashboard to compare hours returned with the baseline. Your professionals review the work.
Participation requirements and the target are written into the engagement. The professional-firm program explains the framework.
Your professional duties still apply.
ABA Model Rule 1.6 addresses confidentiality of information. ABA Formal Opinion 512 (July 29, 2024) addresses generative AI tools. A lawyer’s duties of competence, confidentiality, and supervision apply to AI use. An on-premises architecture reduces external data flows. It does not by itself satisfy those duties.
NVIDIA and Apple hardware hosted in the United States. USA-sourced open-weight models, trained on your documents, your process, and your voice.
Integration with your firm’s document management system is scoped in the assessment.
PrivateStride provides technical and implementation support, not legal advice or a certification of compliance.
The first step
Start with an assessment. In writing.
AI Assessment
In-Building Private AI Assessment: $9,500
Two weeks · Done remotely · Written report
For companies and firms that want the equipment inside their walls. NVIDIA and Apple hardware hosted in the United States.
The report quotes installation and Managed AI by quarter. It also covers site and network review, equipment placement and power, the installation plan, and training after installation.
Credited in full toward installation within 90 days.
Book a fit callBoth assessments are done remotely, by video and phone. Nobody travels.
Firms that prefer not to house equipment can start with the Cloud-Hosted Private AI Assessment, $4,500. Cloud has no guarantee. Both assessments are done remotely, by video and phone. Nobody travels.
Most private AI implementations cost less than a third of the fully loaded cost of your next hire.
This is for
- Law firms of 10 to 75 attorneys and staff considering the In-Building firm program.
- Partners ready to back a better workflow with real leadership.
- Firms willing to assign champions and measure hours returned.
This is not for
- Not an unsupervised legal-research or advice system
- Not consumer AI with a policy memo around it
- Not for leaders unwilling to assign champions
Your questions, answered.
Can our attorneys use ChatGPT with client matters?
Use AI with client matters only for a defined workflow and data class your firm and advisers have approved. Review where matter information is processed, who can access it, and the applicable terms before entering client data. The attorney retains responsibility for confidentiality, supervision, and the work.
Does private AI satisfy Rule 1.6?
No architecture satisfies a lawyer’s professional duties by itself. Keeping processing in your building reduces external data flows. Your firm still needs to evaluate confidentiality, access, supervision, and the specific workflow under the rules that apply to its lawyers.
What about work product and privilege logs?
Your attorneys determine how work product and privilege logs are handled. System query logs belong to your firm, with retention set by your firm. A query log is not a legal determination of privilege.
Do associates and staff see everything?
Access is assigned by role. Associates and staff receive the permissions their work requires. Matter access, roles, and permissions are scoped with your firm in the assessment.
What happens if the internet goes down?
Core local inference keeps working. Features that depend on an external integration, identity provider, updates, or remote support may need a connection. The assessment documents the dependencies for your deployment.
What does the first 90 days look like?
The In-Building firm program uses the full 90-day Absorption Method. We baseline three workflows, agree to a written time-recovery target, train champions, and review adoption and hours returned on the dashboard. If the target is not met and participation requirements were satisfied, we keep working at no additional charge. The guarantee applies only to professional firms of 10 to 75 professionals on the In-Building track. Cloud has no guarantee. No AI system is delivered until implementation is paid.
Who stands behind the work
DJLRC, Inc.
An Arizona corporation, d/b/a PrivateStride.
6751 N Sunset Blvd, Suite 320Glendale, AZ 85305
+1 (212) 960-8293
partners@privatestride.com
David Le Rouse (DJ)
Leads fit and assessment. BS Accountancy and MBA, Arizona State. Thirty years across technology, accounting, and strategy consulting.
Alex
Leads the technical review.
Book a fit call
Thirty minutes. No preparation. We never need your data to have the conversation.
Tell us about your company. We will discuss Cloud-hosted or in-building and the assessment that fits.
Book a fit call 30 minutes · No preparation · No client data