Run your IP practice AI‑native.

An AI-assisted practice uses AI as a tool: an attorney opens a chat window, asks for a draft, pastes the result somewhere useful. An AI-native practice runs on an operating layer where agents do that work on their own — intake arrives assessed, follow-ups are drafted from consult notes, the CRM updates itself, filings get confirmation letters — and the attorney's job shifts from producing routine work to approving it. The distinction is structural, not cosmetic. In an assisted practice, AI saves minutes inside tasks the firm still has to run. In a native practice, the routine runs itself and every client-facing decision stops at an attorney. Lectual is built around that second model: agents handle the machine work of trademark, copyright, and patent practice, and the approval queue keeps the judgment — and the responsibility — exactly where it belongs, with you.

Three steps, and we walk each one with you. First, connect context: your CRM, your consult notes, your email, your firm's voice and engagement norms — agents are only as useful as what they know about your practice. Second, hand agents the routine: intake briefs, follow-up drafts, engagement letters, CRM hygiene, filing confirmations. The work that is real but not judgment. Third, keep approval with the attorney: everything client-facing stages in the queue, and nothing moves until you say so. Onboarding is white-glove — we import your data, tune the drafting voice against your past letters, and run the first weeks alongside you. Most firms start with one workflow, watch the queue for a while, then hand over more as the drafts prove themselves.

A chat window is a blank page: it knows nothing about your matters, forgets everything between sessions, and puts the burden of prompting, pasting, and checking on you. Lectual is a system of action, not a system of suggestions. Agents work inside your live matter context — the client, the mark, the stage, the deadline, the last email — so drafts arrive specific, not generic. Nothing needs to be prompted, because the work is triggered by the practice itself: a consult ends, a filing posts, a client replies. And where chat output disappears into a copy-paste, Lectual's output lands in a queue with an audit trail, staged against the matter it belongs to. The difference shows up on a Tuesday: chat saves you a paragraph; an operating system gives you the afternoon.

They are constrained on purpose. Each agent works through a fixed set of tools against your firm's own systems — read the matter, draft the letter, update the stage — and nothing else. Agents cannot send email, file anything, or contact a client. Everything client-facing is staged as a draft in the approval queue, where an attorney approves, edits, or rejects it; approval is the send, and rejecting costs one click. Every action, agent or human, is written to an audit log with who, what, and when. Trust here is not a promise about model behavior — it is an architecture where the model does not have the keys. The worst case of a bad draft is a rejected draft.

No. Lectual is a dashboard and a queue, not a chat window. Work arrives already drafted — by email, by text, and in your queue — and you approve, edit, or reject it. You will never write a prompt. Model usage is included in the flat monthly fee, so there is no per-token metering, no separate AI vendor to contract with, and no bill that grows because the agents were busy. This is deliberate: the firms doing the best IP work are not the firms with prompt-engineering hobbies, and adoption should not depend on one attorney becoming the office AI person. If your firm can review an email, it can run Lectual.

Every firm runs in a tenant-isolated workspace. Isolation is enforced in the database itself with row-level security, and we test that a cross-tenant read or write is impossible on every change we ship. Your matters, notes, and client communications are never used to train models — ours or anyone else's — and never sold or shared. Access is role-based and allowlisted by your firm; there is no public surface. When you leave, delete means delete: your data is removed, not archived into someone's training set. And because every agent action lands in the audit log, you can always answer who saw what, and when.

Founders take Lectual's IP readiness assessment — a structured intake that scores where they stand on trademark, copyright, and patent protection. The ones who arrive through your white-label funnel come to you assessed and briefed: a scored profile, flagged risks, and a drafted proposal waiting in your queue. Your clients stay yours — exclusively, permanently, never re-routed to another firm. And the business model is deliberately boring: one flat monthly SaaS fee. We never charge per referral, never take a percentage, never share fees — that line is a compliance wall, not a pricing choice. Lectual is software; the practice of law, and the client relationship, belong to the firm.