AI automation for law firms

It handles the work around the legal work: answering and qualifying enquiries, including outside office hours, collecting intake details and documents, opening matters, preparing first drafts from your own precedents, surfacing key dates and clauses in long documents, tracking deadlines, capturing billable time and keeping clients updated. Your lawyers review and sign off on everything that matters.

No. It prepares drafts, summaries and structured information for a qualified lawyer to review. Nothing goes to a client, a court or a counterparty without a lawyer approving it. The workflows are built that way deliberately.

Yes. An AI intake assistant on your website, WhatsApp or phone can answer common questions, capture the details of the matter, flag work you don't usually take, and offer consultation slots from the right lawyer's calendar where it is shared, including in the evening and at weekends. Anything that needs legal advice is passed to your team.

Yes. Once intake is complete, the workflow can run your conflict-check search and collect KYC documents for your team to review, prepare the engagement letter, create the matter file and folder structure, and notify the responsible lawyer. Your firm makes the conflict and KYC decisions before the matter proceeds.

It prepares first drafts from your own precedent bank with the matter details filled in, and on review it extracts parties, obligations, dates and unusual clauses from long documents with links back to the source text, so your lawyers read with a head start. It does not confirm a document is legally correct. The final judgement stays with the lawyer.

Yes. The system can log activity as it happens, such as emails sent, documents produced and calls handled, and prepare draft time entries against the right matter for a fee earner to confirm, so fewer minutes go unbilled at the end of the day.

It can help. Key dates found in documents and correspondence are suggested for a live diary, with escalating reminders to the responsible lawyer and supervising partner, so critical dates are not held in one person's memory. A lawyer confirms each date, and the firm stays responsible for deadline management.

We design the system around matter confidentiality, access controls you set and limits on which matter data reaches an AI model, with workflow actions logged where the systems allow, to support your professional obligations. We can sign an NDA before discovery. We confirm data handling for each project, including which AI providers are used, their no-training terms where available, and where the system is hosted (your infrastructure or a managed server).

It depends on scope, access and approvals. A focused build such as an intake assistant or a matter-opening workflow is quicker to set up than a full practice automation across intake, matter management, drafting support, deadlines and billing, which is usually delivered in phases. We set out the proposed phases and timeline in your proposal.

Cost depends on your practice areas, matter volume and integrations. We discuss your process in a free discovery consultation, then provide a tailored scope and private quote in your proposal. We don't list one-size-fits-all project prices.

No. The workflow can run the search, collect documents and summarise what it found, but the conflict and KYC decisions are made by your firm. The system records the outcome your team decides.

Where your requirements call for it, yes. Workflows and stored data can be hosted on infrastructure you control, and any calls to external AI or other services are mapped and agreed. We discuss deployment choices during discovery and confirm them in the proposal.