Enterprise · Governance at scale
Scale without a third-party processor in the path.
At firm scale the question stops being whether the tool works and becomes who governs it, who reviews the output, and what happens when it is wrong.
What governance at scale needs
Reach is easy to demonstrate. These are the things that are not.
Matter-level rules, enforced
Firm-wide approval cannot answer whether a particular client agreed. Restrictions are recorded per matter and enforced before anything runs.
Evidence of performance
Acceptance and correction rates per workflow, taken from what attorneys actually decided in review — not usage counts.
An incident path
A wrong or improperly disclosed output is reportable, owned and closed — kept separate from ordinary disagreement in review.
Model provenance
Which model version produced which work product, so a change can be identified rather than discovered.
The work of an entire team, on a single machine in your office.
Not a prompt and a wrapper.
HC Critic, the supervision model built for HIGHCOURT by Privilege AI, cuts false alarms on legal drafting review from 62% to 5.9% — and wrongly blocked none of 90 legitimate tool calls in the same evaluation.
False alarms on clean legal sections
“In-house.” “Proprietary.” “Purpose-built for legal.” Those words don’t survive scrutiny when the product is a prompt and a wrapper around a general-purpose LLM anyone can rent—shared with every other customer. Even the “private” versions still send the matter out. Rented models don’t know your positions, have no record to search, and can’t verify a citation.
The offline tools getting attention fix privacy but not capability. Each does one narrow job: summarize a deposition, answer a rule, redraft a clause.
HIGHCOURT is a system, not a model behind prompts. Years of legal training, the authorities, the databases, the retrieval, the verification, and the code that binds them. Models are only a third of it.
It carries the firm’s entire working day—record, drafting, review, redlines, data room, conflicts, deadlines, redactions, agents under attorney approval—on a machine that never touches the internet.
And the one thing none of them attempt: the full pre-trial workup. The work of five to ten people, reading every page, building the record, researching the law, valuing the case, drafting the work product, and checking every citation. Damages and recovery are calculated from the documents themselves—the same every time, traceable to the page they came from, with no model asked at all. Ten to fifteen hours compressed into 10–15 minutes*. Federal, state, and case law live on the same machine, so every citation is verified against the real authority. Nothing leaves the building. Nothing is invented.
This isn’t a better version of what the others sell. It’s the thing they can’t build: an entire practice, worked and verified, 100% offline, on hardware the firm owns outright.
HIGHCOURT vs everyone else. Not one chatbot behind an API key.
No prompting, no chat. A folder in, a bound document out.
Read it once and you can tell which side of the line your client’s file is on.
Three things make it different.
The file never leaves.
Not a promise about privacy. There is no connection that could send a document out. Unplug the network cable and it still works.
It does the whole first read.
Not “summarize this deposition.” It takes the chaotic pile of documents a new case arrives in and turns it into a case theory and work product in about 10 to 15 minutes.
It checks its own work.
The Adjudicator cross-examines the draft and verifies every citation against the actual opinions on the machine. Most tools hope the output is good. This one argues with itself first.
Two of them work on it.
The Clerk
While it works
Tells you what is happening, in words — taking the file in, reading it, sorting it, filing what it found. Never a spinner and a guess: it only reports stages the work has actually reached.
The Adjudicator
When it is done
Reads back what was written and tests it — every citation, every quotation, every claim. A model asked to check itself agrees with itself. This does not.
What it checks, what it does when it cannot, and how your firm’s own verifications are kept — in Go deeper, below.
The workup is what it does once a matter. This is the rest of the week.
Everything the cloud tools sell as their entire product is in here too — as a subset.
Ask the record A question in plain English, answered with the sentence it came from
Not a summary of a summary. The passage itself, from the document it sits in, so you can judge it in the time it takes to read one line.
Drafting Every document your practice produces, on your letterhead
Litigation, corporate, family, criminal, IP, employment, real estate, immigration, tax — the drafting a firm actually does, against this matter’s own facts. Exports to Word.
It learns how your firm writes from the edits you make — and asks before it adopts anything.
Contract review Third-party paper against your firm’s own positions
Accept, negotiate, or reject — and the row that matters most is the one for a clause that is not there at all.
A clause nobody drafted cannot be found by reading the contract — only by knowing what should have been in it.
Redline Real tracked changes that open in Word
Compare any two versions of anything. What comes out opens in Word and accepts or rejects like a colleague’s edit.
Every change is a genuine Word revision — Accept All returns the revised document, Reject All returns the original.
Review tables Your documents down, your questions across
A whole data room answered against the questions you actually care about, with a citation in every cell. Out to Excel when you need it.
Every cell carries the passage it came from. A term that is missing is reported as missing — not left blank for someone to misread as fine.
Agents and workflows It writes the plan, and stops until you approve it
It writes out what it intends to do, step by step, and stops. Nothing happens until an attorney approves it — and any step can be struck out first.
An agent that acts before you have read the plan is not a colleague. Approval is a gate, not a formality — and it is recorded against the person who gave it.
Everything it does. One platform, offline.
The full capability set
Reading the file
Review & verification
Drafting & documents
Numbers & firm operations
Every capability · on the firm's hardware
Questions firms ask, and the honest answers.
How do we deploy across offices?
Per workstation, per office. Each machine is self-contained, which is what removes the central platform as a single point of failure.
How do we know it is producing good work?
Every approve and reject in the review queue is recorded, so acceptance and correction rates per workflow are measurable. That is a stronger measure than usage, which cannot distinguish good work from repeated attempts.
What about firms with existing enterprise AI agreements?
Many will run both. The distinction is per matter: material that cannot be disclosed to a processor runs here.
Is there a central administration console?
Deliberately not one that reaches into matters. Governance is recorded and enforced locally; a central console with access to every matter would reintroduce exactly the risk this architecture removes.
Private briefings — now booking
See what it produces.
A private briefing for your partners — the real screens and the actual work product, section by section, so you can judge the output for yourself. No sales deck.
Every install is set up direct by the team that built it — configured to your practice areas, with pricing quoted against your seat count on the call.