AI built around your firm — starting with the phone.

79% of legal professionals reported using AI in 2025, up from 19% the year prior (Clio 2025 Legal Trends Report). The highest-leverage use cases are intake and first-contact capture, document drafting and review, legal research, and the quiet administrative work that consumes most billable-equivalent time. Immigration leads every practice area at 47% adoption; real estate, family, and wills & estates are close behind when given tailored builds. Firms on both sides of the US–Canada border are increasingly shifting to private-tenant builds so privileged data never leaves the firm's control.

An AI Automation is a rule-based workflow that runs when an event fires — no reasoning, no adaptation. An AI Agent is goal-directed: given an objective, it plans, calls tools, and reports back. An AI Employee is a persistent role that owns a function across matters over time, with integrations, KPIs, and a job description. Brainova Talk is the canonical AI Employee — our AI Receptionist — and most firms start there before layering on custom Agents and Automations. Most mature firms eventually run all three.

Yes, when scoped correctly. In the US, ABA Formal Opinion 512 (July 2024) and the state-bar opinions that followed it (CA, FL, NY, and others) frame four duties: competence, confidentiality, supervision, and client transparency. In Canada, the Federation of Law Societies Model Code Rule 3.1-2 (technological competence) sets the baseline, and every provincial Law Society has published generative-AI guidance — Alberta, Manitoba, Saskatchewan, BC, Ontario, and Northwest Territories. The practical asks are the same on both sides: a written AI policy, human review of output, private-tenant infrastructure where privileged data is involved, an audit trail of prompts and model versions, and disclosure to clients where material. Brainova builds to those defaults and helps the firm stand up the policy side if needed.

Yes. Every Brainova build supports the data-residency option your jurisdiction requires — US hosting, Canadian hosting, or on-premises for the most sensitive matters. For cross-border firms we document the data paths explicitly: what crosses a border, what stays, where audit logs live. The architecture aligns with PIPEDA (Canada federal), Quebec Law 25, US state privacy laws (CCPA, state consumer-privacy acts), and the bar / Law Society data-handling guidance wherever the firm practices.

Most firms start with Talk. It is the AI Employee with the clearest first-month ROI — calls you already pay marketing to generate that would otherwise go to voicemail. Once intake is stable and the data is flowing into your PMS cleanly, the natural second move is a custom Agent or Automation that builds on top of that foundation: IRCC filing prep, a Wills drafting agent, trust accounting reconciliation, or whatever the firm's heaviest time drain happens to be.

Real estate / conveyancing (repeatable file steps), family law (high-volume intake + drafting), immigration (form-heavy, deadline-driven), and wills & estates (template-heavy drafting) are the four top-tier practice areas for AI return. Corporate/commercial, civil litigation, and employment law follow once the firm has in-house appetite for change. AI fits most areas — what changes is the build shape, not whether it applies.

Discovery takes about a week. Scope takes one to two weeks. Build is typically three to eight weeks, depending on integrations and the complexity of the human-in-the-loop. Simple Automations (e.g., trust reconciliation, deadline calendaring) can land inside a month end-to-end. A full AI Employee with deep PMS integration takes eight to twelve weeks. Brainova Talk itself goes live in about ten business days from signed scope.

Yes — all of the above, plus Filevine, Litify, Rocket Matter, LEAP, PCLaw, Clio's Canadian-hosted tier, and custom integrations for firms running niche or legacy platforms. We handle the integration work so no in-house engineering is required.

Those are excellent generalist legal-AI products — drafting, research, and review inside a predetermined product surface. Brainova is different: we build custom AI workers and workflows that live inside your firm's operations, sitting alongside (or in place of) those tools, integrated with your specific phone system, DMS, PMS, and accounting stack. We often recommend generalist tools where they fit and focus our engineering on the parts of the firm no one else automates.

Yes. The architectural defaults for every Brainova build are private-tenant (data never shared with other firms, never used to train models), with the data-residency option your jurisdiction requires, and with explicit data-path documentation. Human review is inserted at every point that affects a client outcome. For the most sensitive matters — family-law high-conflict scenarios, criminal defence disclosure, tax investigations — we also support on-premises deployment.

Brainova Talk (the AI Receptionist) lands in the low-to-mid four figures per month, all-in, for most law firms — setup, custom intake flows, integrations, and ongoing tuning included. Custom AI Agent or Automation builds are quoted per scope after Discovery, fixed-price or retainer. Discovery itself is free — you walk away with a written opportunity map regardless of whether you build with us.

We stay as the operations partner. Brainova monitors performance, tunes intake flows and agent behaviour against real feedback, adapts as the firm adds practice areas, and updates the build as bar-association, Law Society, or privacy-law guidance evolves. You never have to hire AI engineering in-house to keep this running.