Industries Legal
Legal
We deploy AI for legal teams on drafting, citation checks, and document review, scoped so privileged material stays inside the controls you already run.
25+ years in enterprise IT, including Fortune 500 regulated-data environments.
- Attorney-Client Privilege
- Matter-Level Access
- Retention
- E-Discovery
No preparation needed. You leave with next steps in writing.
Assess, build, embed
- 25+ yrs enterprise IT
- Fortune 500 regulated-data environments
- Founder-led
Hours disappear into first drafts, citation checks, and document review. The exposure appears the moment an AI tool cuts those hours without respecting privilege. We build the version that does both.
The pressure
The hours are real. So is the exposure on the other side.
First drafts, citation checks, and document review absorb time that either gets written off or gets billed at a rate a client is increasingly unwilling to pay. That is the case for AI. The case against a careless one is stronger: an AI tool that mishandles privileged material, or acts with no reviewable record, is an ethics complaint and a malpractice exposure rather than a technology problem, and it costs the relationship on top of the fee. The upside is real, but only when confidentiality and oversight are in the design from the start.
What the rules require
What the profession requires.
- Privileged material that escapes its matter is a client relationship and an ethics problem at once, which is why containment tracks the duty of confidentiality under the rules of professional conduct.
- Access follows the matter and the ethical wall, never a blanket account login, so a convenience shortcut cannot quietly become a wall breach.
- A fabricated citation that reaches a filing costs credibility with a court you will appear before again, so AI-drafted work gets a human check before anyone relies on it.
- What the system holds and produces has to align with retention duties and discovery obligations, because an unretained draft is still discoverable work product you cannot account for.
Where it goes wrong
What the shortcuts cost a practice.
- The fabricated citation
- A confident case reference that does not exist, reaching a document before anyone checked. The sanction is the small part; the reputational cost with that court lasts longer.
- Wall breach by convenience
- An agent with account-wide access reading across a matter it should never see. That is a disqualification argument handed to the other side.
- Unretained work product
- AI-assisted drafts sitting outside the retention and discovery trail, which turns a routine production into an expensive scramble.
What we bring
You get a clear answer on what an AI tool may touch, and who signs.
The scope is decided before anything is deployed: which matters an agent may see, which outputs an attorney has to approve, and what gets retained. That comes from a background in regulated, audit-heavy enterprise IT, where confidentiality, access control, and evidence are the job rather than an afterthought. I have also built LawLynx, an AI application for legal workflows, with direct input from a practicing attorney, so the design reflects how the profession actually operates.
- LawLynx is a real AI application for legal workflows, built with direct input from a practicing attorney.
A governed workflow
A governed workflow: a first-draft research memo with no unchecked citation.
Take a common target, the first draft of a research memo, and the review time it usually costs to trust one.
By hand, then governed
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The agent works only within the matter it is assigned, respecting the ethical wall.
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Every citation it produces is flagged for verification, not trusted on sight.
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An attorney reviews and signs off before the draft is used, keeping a human accountable.
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The draft, sources, and review are retained in line with the firm retention schedule.
How the governed build fits
Faster drafts, contained matters, a record you can stand behind.
Privileged data stays controlled and every action is accounted for, because we run AI agents with scoped permissioning, human-in-the-loop approval, and continuous audit logging. The time saved is time you keep, not time you have to defend later.
How a governed agent runs
If you are accountable for getting AI right here, let's talk.
A twenty minute intro call is the simplest next step: we work out which step fits, and you leave with one specific thing to act on. If you want the senior read on your business rather than a routing conversation, that is the AI Leverage Briefing.
Within one business dayYour scope is settled, in writing.
What you walk away with Prioritized 90-Day Roadmap · Risk Register · Governance and Compliance Gap Assessment · Safe-to-Deploy Read
25+ years in enterprise IT, including Fortune 500 regulated-data environments.
If AI is not the right tool for your problem, you will hear that from us.