Platform
Brief encodes your method. Opinion executes it on live matters. Control supervises every output to a named lawyer's signature and an immutable record. The machine drafts; a named lawyer professes; the record proves it. Together they are one governed pipeline; separately, each stands on its own.
The three agents
Build a workflow template for each matter type: questionnaire, document request, research check, drafting step, review gate. Arrange it once. From then on, every matter of that type runs the same way, for every fee earner, every client, every time. Your best lawyer's method becomes the firm's method.
Institutional knowledge that does not leave with anyoneOpinion takes the workflow Brief defined and runs it on a live matter. It reads what the client submitted, identifies the applicable law, runs the checks the workflow specifies, and produces the outputs. Every step logged, every piece of reasoning recorded, anything uncertain flagged before it reaches a client.
From client intake to file ready for reviewBuilt on Countersigned, Control runs AI-generated work through a five-layer supervision process ending in an immutable audit record and a named lawyer's sign-off. It is the supervision discipline of the professed ecosystem, industrialised for the volume at which machines produce work.
No output reaches a client without a signature on recordInside Control
AI errors are supervision failures, not technology failures. Control does not make the AI smarter; it makes the human accountable, provably, in a form a regulator, an insurer or a court can inspect.
What produced this work, from what instructions, on what sources. Every output arrives with its origins attached, so review starts from evidence rather than trust.
Authorities re-checked, citations confirmed against source, facts traced back to the file. The layer built for the age of the hallucinated case.
A qualified lawyer reviews the work with the flags in front of them: what the machine was unsure of, what changed from the template, what needs a human judgement.
A named individual accepts responsibility and signs. Not a team, not a role: a name. The signature has always been the unit of legal accountability, and it still is.
The whole process is sealed into an immutable, timestamped audit record: who supervised the work, how, and when. The reasonable-steps defence, made operational.
The supervision record NativeLaw seals on every matter is the kind of operational evidence an AI management system audit looks for. Firms preparing for ISO/IEC 42001, the international standard for AI governance now being adopted by leading law firms, arrive with the day-to-day evidence already running. NativeLaw does not certify against the standard, and only accredited bodies can; what it does is carry the evidential burden and show you what remains.
In practice
The workflow was designed in Brief once, months ago. This is what runs now, every time, without anyone setting it up again. It is not a demonstration; it is a description of what Lawyery does each day.
The client completes the Brief questionnaire and uploads documents. The matter opens itself.
It reads the submission, identifies the applicable Immigration Rules, and runs every check the workflow specifies.
Application, supporting letters and file notes are produced, each with reasoning recorded and uncertainties flagged.
The five supervision layers run in sequence. The solicitor checks what is flagged and what the record shows.
A named solicitor signs off. An immutable audit record is sealed. Only then does anything reach the client.
How it is built
NativeLaw is built as an agent-native system, not AI bolted onto old software. Brief, Opinion and Control are agents in one governed pipeline, and every step carries its sources, a re-checked citation and a record. Verifiability is in the architecture, not added afterwards.
The agents reason, and they talk to each other. If the workflow does not fit the matter, Opinion refers it back to Brief, which adapts the design rather than force a poor fit; the change is logged and put to a person to approve. If the law might have moved, Opinion asks Control to confirm an authority is still good law while it is drafting, not after. If something is not right, Control hands the work back with its reasons and the matter goes round again. Through all of it the checks hold, and a named lawyer still signs at the end.
And because clients and their own AI assistants increasingly find and use services through agents rather than screens, the platform exposes its capabilities to agents directly. The moment an agent can act, the question becomes who supervised it and who signs. Every agent action, internal or third-party, passes the same checks and ends in a signed, immutable record. That is the half of the agent shift the tool-makers leave unanswered.
What it is worth
Production cost per matter falls hard, because the expensive human hours move from drafting to reviewing. Capacity rises without headcount, which is the difference between turning work away and taking it. Pricing power improves, because fixed fees with machine economics underneath them are margin, while fixed fees with hourly economics underneath them are a slow bleed.
But the figure that matters most is the cost of getting AI wrong. Court sanctions, regulatory findings, negligence claims, the loss of privilege on a client file: these are the reasons most firms are still standing at the edge of the pool. A supervision infrastructure with an immutable audit trail is, in insurance terms, a loss-prevention system; in regulatory terms, a reasonable-steps defence made operational; in client terms, the answer to the due diligence questionnaire every corporate client will be sending its panel firms.
None of this is a guarantee of outcome, and any firm's result depends on its practice mix and execution. The claim is narrower and stronger: the practice that can prove its AI work was supervised holds a structurally better position, against the regulator, the insurer, the client and the opposing party, than the practice that cannot.
Any firm can be AI-native. Every firm must remain professed.
Control runs as a standalone supervision layer from day one, over the AI tools you already use. Brief and Opinion come in matter type by matter type, one workflow at a time.
Coming soon