Contract review time reduced from hours to minutes · Same-day legal research delivery · Client data never leaves your infrastructure · Air-gapped deployment available
Built on the same security architecture that protects criminal justice records for US law enforcement agencies. HIPAA compliant and operating under CJIS security standards since 2008. Zero reported data breaches or confidentiality violations across all deployments to date.
Your client data stays in your infrastructure. Always. We configure AI within your own environment — no data sent to external APIs.
NDA available upon request.
Law firms face a paradox: AI can recover 40–60% of non-billable time, but most legal AI tools introduce confidentiality risks that make adoption impossible for regulated practices.
Most legal AI tools process data through cloud APIs. Every document you upload potentially touches infrastructure outside your control. For matters involving privileged or regulated information, this may create professional responsibility exposure. We deploy AI within your own infrastructure — data never leaves.
General-purpose AI produces legally imprecise output. Contract clauses, case law citation standards, and jurisdictional nuances require models fine-tuned on legal corpora. We configure models specifically for legal work — not generic text generation.
Document review, contract redlining, research memos, and due diligence checklists are high-volume, low-judgment tasks. When associates do these manually, you're billing clients $300/hour for work that could be done in minutes. That's a leverage problem and a competitive problem.
Unvetted AI output creates liability. We build review and approval workflows into every system — AI drafts, associates review, partners approve. The AI handles volume, humans handle judgment. No blind trust.
Legal AI that can't connect to your document management system (iManage, NetDocuments, SharePoint) requires manual uploads and downloads that erase the time savings. We integrate with your existing DMS and practice management stack.
40-60%
Of associate time on automatable tasks
At $250–$500/hour billing rate, that's recoverable revenue or competitive pricing capacity.
8+ hours
Average contract review time (manual)
AI-assisted review: 45 minutes. Same accuracy. Documented audit trail.
$9.48M
Average cost of a professional services data breach
(IBM Security Cost of a Data Breach Report)
Cloud-based legal AI tools create exposure most firms haven't priced.
2-3x
Associate leverage with AI assistance
Same headcount handles 2–3x matter volume. Or same volume with fewer associates.
Not because of our AI models. Because of how we handle confidentiality.
We don't ask you to trust our data handling policies. We configure AI models to run within your own servers or private cloud. There is no API call to an external service. There is nothing to breach. This is how regulated law firms adopt AI without professional responsibility exposure.
Contract review isn't document scanning — it's identifying risk allocation, missing representations, and non-standard carve-outs. Research isn't search — it's synthesizing precedent across jurisdictions. We build AI for how legal work is actually done, not how IT thinks it works.
Every law firm has informal review workflows that don't match the org chart. We map actual approval patterns before designing any system. Our implementations achieve adoption because they work with existing behavior, not against it.
iManage, NetDocuments, SharePoint, Clio, MyCase, and most practice management platforms. We don't require you to change how you store documents or manage matters. AI capabilities are added on top of what you already use.
We've secured criminal justice records for US law enforcement agencies under CJIS compliance since 2008 — the most regulated data environment outside of intelligence agencies. That discipline now protects attorney-client privileged communications and matter files.
These are not theoretical capabilities. These are workflows we've automated in production legal environments.
For full implementation details, deployment options, and engagement structure →See Our AI & Machine Learning Service Page
Zero reported data breaches or confidentiality violations across all legal and regulated industry deployments to date.
Most legal AI vendors will tell you your data is "secure." We can show you that it never moves. We can demonstrate this architecture before any contract is signed. Air-gapped deployment means the AI model lives in your environment — not ours, not OpenAI's, not anyone else's. For practices with professional responsibility obligations, this is the only acceptable architecture.
Client identities withheld due to confidentiality agreements.
[PLACEHOLDER — Managing Partner quote about contract review time reduction and confidence in data security]
[Confidential — Identity Withheld]
Managing Partner, Law Firm
(Identity Withheld)
[PLACEHOLDER — General Counsel quote about due diligence efficiency and AI adoption without IT resistance]
[Confidential — Identity Withheld]
General Counsel, Corporate Legal Department
(Identity Withheld)
[PLACEHOLDER — CTO or IT Director quote about air-gapped deployment and professional responsibility standards confidence]
[Confidential — Identity Withheld]
Chief Information Officer, Law Firm
(Identity Withheld)
We'll walk you through the air-gapped deployment architecture, discuss your specific workflows, and assess what's automatable in your practice — before any implementation discussion.
Book a Confidential Legal AI AssessmentSee Our AI & Machine Learning Capabilities →
No obligation. Strict confidentiality maintained. NDA available upon request. Response within 8 hours.
