AI for firms where wrong is expensive.
Law, accounting, consulting, and other expert practices: your clients pay for judgment they can trust, so you cannot adopt AI the way a startup does. We bring it into your firm the careful way: audited on your practice, built into your workflows, with accuracy and confidentiality designed in.
Of legal professionals now use AI in some form, up from 19% in 2023. The question stopped being whether, and became how well.
Legal industry AI research, 2026
Per professional, per year: the time legal and accounting professionals expect AI to free from routine work.
Thomson Reuters research
Annual revenue growth for firms that moved toward value-based pricing versus firms that kept selling hours as AI compressed them.
Deloitte Professional Services Benchmark, 2025
Everyone adopted AI. Few adopted it well.
Expert firms face a version of the AI question nobody else does: the downside of a mistake is a client, a license, or a reputation.
Accuracy is not negotiable
A hallucinated citation or a wrong number is not an oops in your world. Generic AI use without review workflows is a malpractice story waiting to happen, so many firms freeze instead.
Confidentiality rules out casual tools
Client data cannot be pasted into whatever chatbot an associate found. You need tooling and policy that respect privilege and confidentiality by design, not by memo.
AI eats the hour you bill
Work that took eight hours takes four, and if you sell hours, your own efficiency cuts the invoice. The firms growing fastest repriced around value; the ones that did not are growing four times slower.
Partners disagree on all of it
One partner wants AI everywhere, another wants it banned, and the firm gets neither policy nor progress. Meanwhile associates use it anyway, unmanaged, which is the worst of both.
A week at the firm, done the careful way
Nothing about your standards changes. What changes is how many hours of expert time go to work that never needed an expert.
A normal week today
The same week, AI-driven
The same three steps, shaped to you
Find what to change, build it, and make it stick. Start anywhere: each step stands on its own.
Score how your firm runs across the seven core systems, from intake to billing. A few minutes, and a clear picture of where the practice leaks time.
Try it freeWhat we typically build for expert firms
The systems we build most often for businesses like yours. Every one shaped to your real workflow, priced before we start.
Intake to engagement, automated
From first contact to signed engagement: conflict checks queued, details captured once, agreements generated, and the matter opened in your systems. The client's first experience of the firm is competence.
Drafting with review gates
First drafts, summaries, and document review passes prepared by AI inside confidentiality-respecting tooling, with a professional's review and approval built into the workflow. Nothing leaves the firm unjudged.
Deadlines and follow-ups that run themselves
Filing dates, signature chasing, client updates, and billing reminders automated, so nothing depends on a busy professional's memory, and nobody's Sunday is spent worrying.
The firm's knowledge, askable
Precedents, past matters, and internal know-how organized so the team can ask and get answers with sources, instead of interrupting the one partner who remembers.
25 hrs/week
Of professional capacity recovered at one firm after the routine layer of research and admin was automated.
100%
Of one practice's manual research eliminated: an AI agent now does in minutes what took hours per matter.
$500K+
Additional income at one client after the sales side of the practice got a real CRM and follow-up system.
An AI brain that shows its work
Binee fits how firms think: every insight cites the events behind it, it never changes anything without approval, and each person's access stays their own. Evidence first, always.
Common questions
Careful is not the same as slow
Talk to us before the unmanaged version spreads
Thirty minutes on your practice: what AI should touch, what it must not, and what the numbers say about your pricing model. Honest advice from operators, not hype.
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