GoDo reads your email, calendar, and matter records locally, flags new matters and potential conflicts, and builds an evidence packet for every recommendation. No cloud AI. No black-box decisions. Every action becomes part of the matter record.
Model Rules of Professional Conduct 1.6 requires reasonable measures to prevent unauthorized disclosure of client information. Running client matter data through OpenAI, Anthropic, or Google — even in "enterprise" mode — is a risk assessment your malpractice carrier is starting to ask about.
Every time a staff member uses an AI tool to draft a client update, search a matter file, or summarize a deposition, that content is processed on a third-party server. "We don't train on it" is a contractual promise, not a technical guarantee.
Conflict checks in spreadsheets. Status updates by email. Billing write-off approvals in Slack. None of these produce a defensible record. An audit, a malpractice claim, or a bar inquiry reveals them immediately.
Practice management software handles billing and docketing well. It doesn't handle the workflows that fall outside its templates. Every firm has five to fifteen processes that live in someone's inbox and would cost $200k to build custom.
Universal-cart and AP2-style payment-and-action rails — rolling out in 2026 — let a third-party cloud agent read and transact across the web on your behalf. For a firm bound by Rule 1.6, routing privileged matter data through a cloud agent is precisely the kind of disclosure your malpractice carrier is starting to ask about.
GoDo is the antidote. Its inference never leaves your building. There is no cloud agent reading your matters — privilege is enforced by where the computation runs, not by a vendor's terms of service. This is a structural fact about on-premises versus cloud computation; it is not a claim that any specific competitor is non-compliant.
Gemma4 reads your inbox and calendar locally, extracts people, companies, opposing parties, and matter-like facts, then compares them against your existing matter database. The result is a verified operations packet — not a summary, not a guess. Every flag comes with its evidence.
GoDo never says "this is a conflict." It says "potential conflict flag — partner review required." The system flags and routes. The lawyer decides. That distinction is not a disclaimer. It is the architecture.
gpt-oss:120b is the primary reasoning engine — 116B open-weight parameters, running on your hardware via Ollama. It handles the conversation that turns your workflow description into an application blueprint, refines it, and arbitrates final decisions.
gemma4:31b is the adversarial reviewer — 31B parameters, completely different architecture and training lineage. It challenges the initial blueprint, finds gaps, bad assumptions, and missed edge cases. Because it was trained differently than gpt-oss, it has different blind spots. That architectural diversity is the point — it catches what gpt-oss misses.
Once an application is built, the runtime has zero AI. Workflows run entirely on deterministic code — no model inference, no API calls, no per-query cost. Rules fire, steps advance, audit trails write. All local, all free at runtime. Your staff never triggers an AI call just by using the platform.
Tell us the process. We'll map it out live in your first session. Each one includes a permanent, timestamped audit trail by default.
Email arrives. Gemma4 extracts every named party locally. GoDo cross-references your matter database — exact name, alias, fuzzy match, former client, related corporate entity. Every potential conflict is flagged with its evidence and routed to the responsible partner for review. Decision captured with timestamp and rationale before the first meeting.
Scheduled status updates go out automatically. Court deadlines tracked with escalating alerts. Every client communication logged with delivery confirmation. Nothing falls through when someone is out.
Attorney submits write-off with reason. Workflow routes to supervising partner based on amount threshold. Approval or denial captured with justification. Client communication sent and logged. Every decision permanent.
Requests go to opposing counsel, experts, and clients through structured intake. Missing items flagged automatically before deadlines. Every request, response, and follow-up logged with timestamps and actor attribution.
Settlement authority granted and logged. Offer and counter sequences tracked with dates and amounts. Client authorization captured for each step. Final approval recorded with full history — defensible if the settlement is ever challenged.
Monthly reconciliation workflow ensures trust account balances are verified against client ledgers. Discrepancies flagged immediately. Reconciliation sign-off captured by the responsible attorney. State bar audit-ready by default.
The GoDo audit trail isn't a log file someone can edit. It's written in the same database transaction as the workflow change — they commit together or not at all. A Postgres trigger physically prevents modification after the fact.
Audit entry and workflow change write in the same transaction. It's impossible to have one without the other.
A Postgres-level trigger rejects any UPDATE or DELETE on audit rows — including from admin accounts.
Every entry captures who acted, what changed, when, and from which request context. Not just a user ID — a complete record.
In sovereign mode, the audit trail lives in your local Postgres. You can export it, back it up, and present it to any auditor or regulator — on your terms.
We map your intake process, identify your highest-risk workflows, and define a fixed-scope implementation — before any build begins. That audit is the engagement.
A cloud AI gives you a fluent guess. GoDo gives you a verified answer with an evidence packet for every recommendation — and your privileged data never leaves the building, because the inference runs locally on hardware you own.
Confidentiality is enforced by where the computation runs, not by a vendor's terms of service. GoDo's AI runs on-premises, so privileged matter data is never routed to a third-party cloud. We position GoDo as the cleanest path to ABA Opinion 512.
In your server room, on a Mac Studio you own. The full stack — workflow engine, AI inference, and audit trail — runs on hardware you own. Every question, decision, and output is recorded so you can defend the file. Zero cloud, zero runtime AI calls offsite.
Every engagement starts with a paid discovery audit, then a pilot or full build, with predictable monthly maintenance. Sovereign deployments run on hardware you own. See the pricing section above for current tiers.
No. AI proposes; lawyers decide. GoDo's local model extracts and flags; the system verifies, routes, and requires human approval before anything becomes part of the matter record.
That is exactly the 2026 exposure. Universal-cart / AP2-style agents now read and transact through the cloud. For a firm bound by Rule 1.6, routing privileged matter data through a third-party cloud agent is the risk, not a convenience. GoDo's inference never leaves your building, so there is no cloud agent reading your matters.
Walk us through how your firm handles conflict checks today. We'll map it live, show you what Morning Counsel mode would flag from a real inbox, and spec a pilot — with sovereign deployment configured for your hardware from day one.
Book a Working Session →Engagements start with a paid discovery audit ($15–25k). No account required before then. If it doesn't fit, we'll tell you.