AI automation for the law firm admin that eats your billable hours

Where firms leak hours: intake, documents, and matter admin

The first leak is intake. A prospective client fills in a web form, sends an email, or leaves a voicemail, and then waits, often for a day or more, while the enquiry sits in an inbox. By the time someone responds, qualifies the matter, checks for conflicts, and opens a file, the client has already called another firm. Slow, manual intake loses good matters and wastes lawyer time on ones that were never a fit. It is high volume, it follows clear rules, and it is done by hand: the textbook shape of work a machine should own.

The second leak is everything around the documents and the matter file. Renaming and filing incoming documents, extracting key dates into a calendar, assembling a bundle, pulling the same clauses into a first draft from a template, chasing signatures, logging time, and keeping the matter management system current. None of this is legal reasoning. It is the connective admin that surrounds legal work, and in most firms it is done by expensive people between the parts of their job that actually require expertise. Automating it hands those hours back.

What we automate, and how the machine actually works

On intake, we build a pipeline that captures every enquiry from your forms, email, and phone, responds within minutes to acknowledge and gather the basics, runs an initial conflict check against your existing matters, and routes qualified enquiries to the right lawyer with a clean summary already attached. Nothing is turned away or accepted automatically; the machine gathers and organises so a person decides faster and with better context. The same instant-response discipline that keeps enquiries from going cold sits behind it.

On documents and matter admin, an LLM does the reading and sorting a paralegal used to do by hand. Incoming documents are classified, named to your convention, and filed to the right matter; key dates and parties are extracted and written to the matter file and calendar; and first drafts are assembled from your own approved templates for a lawyer to review and finalise. The plumbing follows the job: simple app-to-app moves run on Make or Zapier, anything with branching or real document handling runs on n8n, which we self-host so privileged material never leaves an environment you control. Where your practice-management system (Clio, Actionstep, or similar) exposes an API, we integrate directly.

• Client intake capture from forms, email, and phone, with an instant acknowledgement and basics gathered automatically
• Automated conflict-check screening against existing matters, surfaced for a lawyer to confirm
• Document classification, naming, and filing to the correct matter, to your convention
• Key-date and party extraction written to the matter file and calendar, with the source kept for audit
• First-draft assembly from your own approved templates for a lawyer to review, edit, and sign off

Document review support, with a lawyer always in the loop

For high-volume document work, disclosure sets, due-diligence data rooms, lease portfolios, an LLM can accelerate the first pass dramatically. It can tag documents by type, surface the clauses and dates that matter, flag anomalies and missing items, and produce a structured summary so a lawyer starts from an organised map instead of a raw pile. On a review that used to take days of associate time, that first pass can be a matter of hours, with the lawyer's attention spent on judgement rather than triage.

The line we never cross: the AI proposes, a qualified lawyer disposes. We do not build systems that give legal advice, make legal determinations, or decide anything about a client's matter or position. The machine reads, sorts, extracts, and drafts; a lawyer reviews and owns every output that leaves the firm. Anything the model is unsure about routes to a human queue rather than being filed or sent. This human-in-the-loop pattern is not a limitation bolted on; it is how the system stays reliable and how the firm stays responsible for its work.

Confidentiality, ownership, and when not to automate

Legal work is bound by confidentiality and privilege, so this is built for it from the first line. We keep privileged material inside an environment you control: n8n self-hosted in the EU or on your own infrastructure, no client data sitting in a third-party tool's logs, and a clean data-processing agreement under GDPR. Every run is logged and auditable, so you can always show what was processed and by what rule. You own the workflows, logic, and integrations outright, documented, so a change of provider never means a rebuild, and there is no lock-in.

We are also honest about where automation does not belong. Legal advice, strategy, advocacy, and any judgement about a client's matter stay with your lawyers. A workflow that runs a handful of times a month rarely justifies a machine, and one whose rules shift constantly costs more to maintain than to do by hand. We tie our fee to the automation running in production and doing the job, and we scope to the numbers first: how many enquiries, how many documents, how many billable hours the admin is eating. If it will not clear the bar, we tell you before we build, not after.