Presidio
Presidio redacts client names and identifiers before text leaves your office.
Flat fees · No subscriptions · You own it
We set up AI your firm can actually trust.
No per-seat fees that climb every time you hire. You pay once for setup and training, and you own the result, installed inside your own systems, not rented from a vendor.
How it works
AI is great at drafting and bad at checking itself. So we split the work: AI helps your team write, and a separate, non-AI layer checks everything before it leaves your office.
Open-source legal AI workspace
Our open-source legal AI workspace is built on a vetted open-source AI assistant for drafting and knowledge search. Installed in your cloud (MIT licensed), it drafts and analyzes using frontier LLMs on anonymized text.
GhostCite
GhostCite checks every citation against court records. Binary pass/fail. It verifies that citations and quotes are real, while your firm’s existing citator still handles doctrinal validity.
Preflight
Preflight enforces your firm’s policies at the API perimeter and issues cryptographic receipts.
Pick what your firm actually needs.
Track 1
Open-source legal AI workspace – Basic, Safe AI Drafting Cockpit
Available (typically 6–8 week implementation).
Small and mid litigation teams (5 to 40 lawyers).
Outcome: Turnkey deployment of your open-source legal AI workspace with Presidio redaction and GhostCite citation verification in your private cloud, plus a shadow AI inventory, an AI use policy, and training to help your team put that policy into practice. Includes governance playbooks tailored to your firm. Think of it as a semi-custom build, like a semi-custom kitchen: we take time to understand how your team already works, then integrate your current research tools, citator, and AI apps into the workflow instead of forcing a one-size-fits-all stack.
$12,000 to $18,000 flat
One-time, no subscription
These ranges are calibrated for small and mid-size litigation teams (typically up to ~40 attorneys). Larger-firm or multi-office deployments are scoped as custom enterprise projects based on repositories, integrations, and supervision requirements.
- Open-source legal AI drafting workspace built on our open-source legal AI workspace, with frontier LLMs in your cloud
- Presidio redaction before any external API calls
- GhostCite deterministic citation checks
- Shadow AI inventory, AI use policy, training to put that policy into practice, and governance playbooks
- Built from production-ready components (our open-source legal AI workspace, Presidio redaction, GhostCite citation verification, and Preflight governance) tailored to your perimeter instead of forcing you onto a rented SaaS platform.
Implementation: Each open-source legal AI workspace deployment is customized to your firm’s repositories, identity, and guardrails. Typical timeline is 6–8 weeks from signed SOW to first production matters.
Pricing scales with repositories, connectors, and the number of training sessions.
Most Chosen
Track 2
Open-source legal AI workspace – Professional, Cryptographic Fortress
Available (typically 6–8 week implementation).
Firms facing insurer demands, client audits, or bar inquiries.
Outcome: Sovereign open-source legal AI workspace deployment with Preflight policy-as-code enforcement, tamper-evident audit logs, and zero-knowledge compliance receipts, plus a shadow AI inventory, an AI use policy, and training to help your team put that policy into practice. Includes governance playbooks aligned to your firm’s supervision and audit needs. Like Basic, this is a semi-custom build, like a semi-custom kitchen: we map and integrate your firm’s existing research tools, citator, and AI apps into the workflow your team already uses, rather than replacing it.
$24,000 to $32,000 flat
One-time, you own everything
This range reflects typical deployments for small and mid-size firms. Enterprise-scale environments (hundreds or thousands of attorneys, multiple repositories, or carrier-driven audit requirements) are scoped as custom enterprise engagements.
- Everything in Open-source legal AI workspace – Basic
- ICME Preflight policy-as-code enforcement at the API layer
- Tamper-evident local audit logs
- Zero-knowledge compliance receipts for auditors
- Built from production-ready components (our open-source legal AI workspace, Presidio redaction, GhostCite citation verification, and Preflight governance) tailored to your perimeter instead of forcing you onto a rented SaaS platform.
Implementation: Each open-source legal AI workspace deployment is customized to your firm’s repositories, identity, and guardrails. Typical timeline is 6–8 weeks from signed SOW to first production matters.
Or $10,000 to $14,000 as an upgrade from Basic within 12 months. Built with our research partner, ICME Labs.
Track 3
Claude for Legal, Assisted Installation
Early access (phased rollout program).
Best for: Firms that want a fast Claude pilot using frontier models, without committing to sovereign infrastructure yet.
Outcome: Assisted installation of Claude for Legal desktop workspaces, plus a shadow AI inventory, an AI use policy, and training to help your team put that policy into practice. Includes governance playbooks, CourtListener guardrails, and tailored onboarding under firm supervision.
Pricing: Typical investment: $7,500 to $10,000 one-time, flat fee for small and mid-size teams. Larger rollouts across many desktops or offices are scoped as custom enterprise engagements.
One-time, no subscription
How rollout works. Rollout is phased:
- Phase 1: Governance design, workflow mapping, and Claude configuration with conservative guardrails.
- Phase 2: Expanded adoption, training, and audit-ready documentation of supervision policies.
Pricing depends on the number of desktops/workspaces and integrations. Many firms start with a Claude pilot here, then graduate to Open-source legal AI workspace – Basic or Professional once they’re ready.
Security & Implementation
Security & perimeter: We retain an expert cybersecurity firm for perimeter design, hardening, and independent penetration testing. We supervise architecture and vendor management to ensure a legal-grade deployment for each firm.
Every engagement follows a structured sequence: 1) Discovery and AI governance design. 2) Architecture and connector design, including any MCP plugins. 3) Security perimeter implementation with an expert cybersecurity firm and independent testing. 4) Phased rollout and training, with audit-ready evidence of supervision and rules enforcement. Part of discovery is mapping how your lawyers currently draft, research, and run citation checks, then integrating guardrails and GhostCite around that existing workflow rather than forcing a new process.
Compare that to commercial legal AI at $200 to $400 per user, per month, forever. A five-person firm pays that vendor over $18,000 a year, every year, and never owns a thing. All engagements are fixed-fee, not subscriptions: no per-user seat taxes, no hourly billing, and no hidden markups. Your firm capitalizes the build as a permanent business asset.
Governance workshops and fractional AI lead retainers are on the Training page. Run the Compare tool for a vendor-neutral TCO projection.
Enterprise deployments: The flat-fee bands above are tuned for solo, small, and mid-size litigation teams. For larger firms with hundreds or thousands of attorneys, multiple DMS repositories, or intensive carrier audit and supervision requirements, we scope sovereign enterprise deployments as custom projects after an architecture and governance review.
Not sure which fits?
Start with the free tool, or book a workshop and we’ll tell you the smallest setup that solves your actual problem. No pressure, no sales deck.