The productivity of generative AI — for matters, memos, and client files that never leave your building.
DPLYD puts fully managed AI inside your firm's perimeter. Privileged material stays privileged. No third-party API sees your work product.
DPLYD for legal is a managed on-premises AI for law firms: matter search, drafting assistance, and document review run entirely inside the firm's network — the files and the search index never leave it.
Every cloud AI tool asks your firm to ship its most sensitive information — privileged communications, deal documents, client PHI, litigation strategy — to someone else's servers to get an answer back.
For a law firm, that's not a convenience question. It's a duty question. Model Rule 1.6, client outside-counsel guidelines, and the privilege itself all point the same direction: the file shouldn't leave.
You built your security architecture to keep it home. That instinct was right. AI shouldn't be the exception that undoes it.
Most "on-prem-friendly" legal AI keeps the document local — then ships an index of it to the cloud. That distinction is marketing, not security.
An index derived from your file is a second copy of the sensitive part:
Verbatim passages lifted straight out of the document. Not a summary. The text itself.
Encode the meaning, and are reversible enough to reconstruct the source.
Client names, matter numbers, deal codenames, in plaintext.
Authors, dates, case IDs, file paths: a map of everything you hold.
Which parties, entities, and documents connect. Disclosure without a single sentence leaving.
The original file never moved. The privileged information did.
A cloud index of local content is exfiltration the moment it can disclose, infer, search, or reconstruct protected material outside your walls. DPLYD keeps the index on the same side of the boundary as the file. Always.
DPLYD is managed AI that lives on your perimeter. The model runs where your files already are.
Documents never cross your boundary. Full generative capability, zero egress of privileged content.
On a lease, we own the hardware, updates, and lifecycle. Your team operates; we maintain. No servers for your IT to babysit.
Lease the appliance for one flat $5,000/month: every lawyer, paralegal, and staff member works from it, and the price doesn't climb when you add the whole litigation team. Prefer to buy your own hardware? Start at $500/month, then $25 per seat. No per-token metering either way.
DPLYD isn't a narrow legal point-tool. DPLYD runs capable general models — the same drafting, summarizing, and reasoning your team would reach for anywhere — plus legal-specific workflows on top.
One deployment serves the whole firm. Legal work gets legal handling; everything else your people do with AI runs on the same secure box.
Compliance shouldn't be a slide deck you assemble the week before a client security review. DPLYD produces an immutable, exportable record of every AI interaction: what ran, on which documents, under what policy, with what result.
When a client's outside-counsel guidelines demand proof — or when a malpractice question surfaces two years later — the evidence already exists.
| Cloud legal AI | DPLYD | |
|---|---|---|
| Where your data goes | Shipped to a third-party API | Never leaves your perimeter |
| The index | Copied to the cloud | Stays inside your boundary |
| Pricing | Per lawyer, per month | Flat $5,000/month leased, or $500 + $25/seat on your hardware. Never per token |
| Scope | Legal tasks only | General AI + legal workflows, one deployment |
| Infrastructure | Someone else's cloud | Managed hardware on your premises |
| Air-gapped / classified work | Not possible | Supported by design |
| Audit evidence | Contractual assurance | Immutable, exportable record |
The cloud tools are good software. But they solve for legal output while asking you to accept data egress as the cost. DPLYD refuses the trade: the intelligence comes to the data.
Some work simply cannot go to a third-party API: government and defense counsel, matters under protective order, clients whose outside-counsel guidelines forbid third-party AI processing, and any firm that treats privilege as non-negotiable.
If your answer to "where does the data go?" has to be nowhere — DPLYD is the only version of this that works.
ABA Formal Opinion 512 requires lawyers to evaluate confidentiality risks before entering client information into generative AI tools. Public chatbots process prompts on external servers, which is exactly the exposure the opinion warns about. DPLYD removes the question: privileged material never leaves the firm.
No third party ever receives the communication or work product — the model runs on hardware inside the firm's own network — so the disclosure that underpins waiver arguments never occurs.
Yes. DPLYD connects to the systems where your matters already live and builds its index locally. Ask us about your specific DMS/PMS in the demo.
Search across matters, first-draft motions and memos from your own precedent, summarize productions, and issue-spot large document sets — with citations back to the source files.
Leased: one flat $5,000/month for the whole firm, so you never ration access by timekeeper. On your own hardware: $500/month including 1 seat, then $25 per additional seat. No per-token metering either way.
A 30-minute walkthrough of DPLYD, running on your data, inside your boundary.