We provide hands-on AI engineering for organizations, teams, and practices of any size. From custom system instructions, skills, and plugins to dedicated single-tenant cloud environments with customer-controlled encryption keys, you work directly with an AI engineer who designs, builds, and maintains your systems.
Select any stage to inspect encryption, network, and audit controls.
Authorized staff upload records in the browser or route documents from configured corporate repositories and legal systems such as iManage, NetDocuments, and Clio over TLS 1.3 encrypted transport. Automated in-flight PII redaction masks names, Social Security numbers, and account identifiers before external model dispatch.
Storage volumes, vector indexes, and backups are encrypted with AES-256 keys held in your organization's own key management account on a 90-day automated rotation schedule. Every key access event is recorded in customer-inspected access logs, and your administrator can revoke key access at any time.
Workloads run inside a dedicated single-tenant network boundary (10.0.1.0/24 private subnet) with no public virtual machine IP addresses and no shared multi-tenant databases. Retrieval indexes, team and matter access walls, and customer-inspected access logs stay isolated inside your organization's Private Enclave.
Sanitized prompts cross an outbound-only private gateway to a contractually configured Zero Data Retention inference endpoint. Upstream model providers disable prompt logging, retain zero customer payloads after response delivery, and never train foundation models on your inputs.
We start by analyzing your daily operational bottlenecks and mapping strict confidentiality requirements. We identify the legal workflows where AI provides the most immediate time savings, establishing clear technical and privacy guardrails from day one.
Before committing to a broad rollout, we configure a private, isolated pilot environment to test targeted workflows directly with you. This allows you to measure tangible time savings, verify accuracy, and gather feedback on test or redacted files before any live matter goes in.
We provision your production-ready, private cloud environment with end-to-end encryption and contractual zero data retention commitments. Patrick Ryan handles ongoing system maintenance, model updates, and workflow configuration so you simply log in and work.
2-WEEK DIAGNOSTIC
A structured evaluation for firm leadership or individual practitioners seeking an objective view of where AI can safely add value. Includes a confidentiality and technical readiness audit, prioritized workflow matrix, risk mitigation plan, and an actionable roadmap.
Best for: Firms evaluating AI for the first time, or practice leaders seeking an objective readiness audit before committing to any investment.
4-WEEK RAPID VALIDATION
Prove AI's value on a specific priority workflow before broader investment. We deploy a working pilot inside an isolated environment, test directly with you, measure real efficiency gains, and provide a comprehensive rollout proposal.
Best for: Practices ready to validate AI on a specific, high-priority workflow before broader deployment.
CUSTOM SINGLE-TENANT DEPLOYMENT
End-to-end engineering and deployment of a dedicated, single-tenant AI environment in your own cloud account. Includes customer-managed encryption keys, zero data retention, custom web interfaces, and workflows built around your team.
Best for: Organizations and practices ready for a permanent, single-tenant AI environment.
DEDICATED RETAINER
Retain continuous access to Patrick Ryan, Esq. for security maintenance, model upgrades, custom system instructions, skills, plugins, and workflow refinements, without hiring full-time staff.
MODULAR SESSIONS
Practical, jargon-free training built around your firm's policies and daily work. Attorneys learn what language models do well, where they fail, and how to verify every citation and factual claim. Sessions include hands-on exercises using real practice scenarios.
MONTHLY PROGRAM + QUARTERLY REVIEWS
A rolling program combining direct founder advisory hours, periodic training refreshers, small-scale proof-of-concept sprints for new workflows, and quarterly progress reviews for a predictable monthly fee.
We work with companies, corporate teams, law firms, boutique practices, and solo practitioners that want custom AI engineering, from system instructions, skills, and plugins to private cloud deployments, without a six-figure enterprise contract or a full-time engineering hire.
Operations, engineering, and security leaders at companies and regulated business units need custom AI workflows, spend visibility, and agent boundaries without routing proprietary records through shared public tools. From a 2-week Practice Assessment to a single-tenant Private Enclave with customer-managed encryption keys, we build systems inside your own cloud account.
Legal departments need to streamline contract reviews, internal advisory tasks, and matter management while keeping sensitive corporate data within company-controlled cloud boundaries. We build isolated environments that satisfy strict corporate IT and compliance requirements.
Solo practitioners, 15-attorney boutiques, and mid-sized firms need modern AI without exposing client files to public tools or signing six-figure enterprise contracts. We build single-tenant workspaces sized to your caseload and budget.
When centralized IT is backlogged or hasn't approved firm-wide tools, individual practice groups still have deadlines to meet. We deploy isolated, matter-scoped workspaces for specific litigation, transactional, or regulatory teams.
| Operational Area | Public Consumer AI Tools | Private Enclave |
|---|---|---|
| Data Custody | Shared Vendor Infrastructure Data processed and cached across multi-tenant servers |
✓ Isolated Single-Tenant Environment Dedicated cloud environment with Customer-Managed Keys (CMEK) |
| Confidentiality & Privilege | Third-Party Disclosure Risk Potential waiver of attorney-client privilege |
✓ Cryptographic Isolation Access is limited to your firm and named administrators, and every access is logged. |
| Data Retention | Variable Vendor Policies Terms of service subject to unilateral changes |
✓ Zero Data Retention (ZDR) Your data is never stored by the AI provider after processing |
| PII & Sensitive Data | No Built-In Safeguards No protection against PII leakage in prompts |
✓ Automated PII Detection & Redaction Sensitive information is identified and scrubbed before inference |
| Model Training | Subject to Vendor Terms Opt-outs governed by changing policies |
✓ Zero Model Training Commitment Contractually excluded from model training. |
| Interface & Usability | Generic Prompt Window Requires you to engineer complex prompts |
✓ Purpose-Built Legal Interfaces Clean, task-oriented web tools ready for immediate use |
| Support | Generic Self-Service Help No assistance for workflow integration or audits |
✓ Direct Founder Oversight Direct access to Patrick Ryan, Esq. managing your environment |
Architectural & Supervisory Notice: Technical architecture and contractual controls support confidentiality duties under ABA Model Rule 1.6(c), but architecture does not determine evidentiary privilege outcomes. Law firms retain supervisory duties over nonlawyer service providers and AI workflows under ABA Model Rule 5.3.
Practical analyses from a governance-minded AI practitioner on what your AI is doing, what it's worth, and what it's exposing you to across companies, corporate teams, law firms, boutique practices, and solo practitioners.
A plain-English guide to who holds the encryption keys, why "no training" is not the same as "no retention," and seven questions to ask any AI vendor before client data goes in.
An ethical and evidentiary analysis of ABA Formal Opinion 512, Model Rule 1.6(c), third-party subpoena exposure under 18 U.S.C. § 2703, and single-tenant cloud controls.
What enterprise AI contracts leave out: 30-day prompt retention windows, encryption key custody, third-party preservation orders, and protective-order requirements for law firms.
Rising AI spend and uneven output usually share four causes: the wrong model for routine workflow steps, uncurated context, no written definition of usable work, and spend nobody can attribute. How to tell which one is costing you.
Founder • Independent AI Engineering Practice
Companies, corporate teams, boutique practices, solo practitioners, and law firms need an AI engineer at the table accountable for what their AI is doing, what it's worth, and what it's exposing them to. Most rollouts split that work: builders ship prompts without checking vendor contracts or supervisory duties, while legal and security reviews flag prompt retention without fixing unverified outputs, stalled seat adoption, or wasted token spend. I started Enclave Systems as an independent AI engineering practice to design, build, and maintain custom instructions, skills, and retrieval workflows so your organization can run a Private Enclave in its own cloud account, hold the encryption keys, and inspect the access logs directly.
Speak directly with Patrick J. Ryan, Esq. to review your AI workflows, spend visibility, governance controls, or single-tenant Private Enclave options across your organization or practice.
