Govern what your AI writes. Prove and replay every decision. Keep privileged material in-house.
When your AI drafts a brief or reviews a contract, you sign it and you carry the liability. A hallucinated citation or a privileged passage in the wrong place is your problem, not the model's. You need to catch it before it goes out, prove later exactly what the AI did and why, and keep privileged material off any third-party model.
The risk is what the AI writes
In Mata v. Avianca (2023) a court sanctioned lawyers under Rule 11 for a brief full of cases ChatGPT had invented. The model does not carry your duty of candor; you do. The same exposure runs through any AI-assisted work product, and the only question that matters is whether you catch it before a human relies on it. Swiftward sits between your AI and the work it produces and lets you check the output first.
Catch a bad citation before it goes out
Swiftward checks what the AI writes, the same way it checks what an agent does. You author a rule: every citation in the output has to resolve against your own source of authority, your reporters, your precedent library, your matter files. Anything that does not resolve is held and routed to a lawyer, and the whole exchange lands in a replayable, audited record. Swiftward does not decide whether a case is real or a holding is stated right. You author the check, a lawyer makes the judgment, and Swiftward guarantees the check runs every time and that nothing unverified slips through silently.
Privilege stays in-house
Swiftward runs on your own infrastructure, so privileged documents are processed in your environment and need never reach a third-party model. Where you do call an external model, it redacts or blocks privileged and confidential material before the prompt leaves, the same way it stops source code leaking into ChatGPT or Cursor. You define what counts as privileged for your firm; Swiftward applies that consistently and records that it did. It does not make the legal call of what is privileged. That stays with the lawyer.
Every decision is recorded, and replay means something exact
Every AI-assisted decision is recorded and replayable on the exact policy version that was live. A decision made by a deterministic rule replays exactly: the same input gives the same verdict months later. Where a model was called, Swiftward hands you what was recorded then, the model, the version, the exact input and output, and the lawyer's decision if one was in the loop, rather than pretending to re-derive what the model would say today. So for a specific paragraph in a specific filing you can show the rule that was in force, the output it acted on, and who signed off. The record is append-only and hash-chained; underneath it a second, independent trail logs every change to the system itself.
Test a change before it touches a live matter
Every check is a policy you version, not code buried in an application. Before you change how the AI is governed, you backtest it against last month's real matters and run it in shadow against live work with no effect applied, then roll back in one step if it is wrong. What you get is the ability to trace every AI-assisted decision, test a change before it gates anyone, and keep a record you can stand behind.
Built for the conflicts review and procurement
On-prem deployment, SSO, layered access control, secrets handling, and an append-only audit trail are built in, so the layer running your AI clears the data-handling review a cautious general counsel runs. This is the same engine, applied to legal defensibility and confidentiality, and we are taking a small number of design partners in legal now. Evidence and audit · Security · Enterprise foundation