Private AI for law firms
A firm's knowledge lives in its filings, its opinions and its precedent, and finding it burns billable hours. AI that runs inside the firm searches it for you, without a single case file leaving the network.
A law firm accumulates thousands of documents that already solve the problem in front of it today, but nobody remembers which matter they are in. Private AI indexes that archive and answers in plain language, citing the specific filing. And because the model runs on a server in the firm, client documents never travel to anyone's cloud: the tool stops being in tension with your duty of confidentiality.
The real pains
None of them are technology problems. All of them cost hours.
"We've done this before, but I can't find which matter"
A nearly identical filing has been in the archive for three years. Finding it takes longer than drafting it again.
A 60-page contract that has to be reviewed today
Locating the termination clause, the confidentiality wording or one specific deadline means reading it end to end, again.
The same internal question every week
"What line do we take on this type of matter?" The answer sits in two partners' heads, not anywhere you can look it up.
Every new hire starts from zero
A new lawyer takes months to learn how the firm actually works, because none of it is written in a manual.
What AI does about those four
Searches by what documents say, not by filename
"Objections to mortgage enforcement from the last three years" returns the actual matters, even if none of them is named that way.
Answers questions about a long contract
Ask about a clause and you get the answer with the exact paragraph quoted, instead of a summary you have to verify in full.
Makes the firm's own approach searchable
Internal precedent, memos and prior opinions start answering on their own, without interrupting a partner.
Shortens onboarding
New joiners ask the system how something was handled before and get the firm's real document, not a generic explanation.
The case file cannot leave the firm
This is the difference that matters in a law firm, and it isn't about price: with a cloud tool, every query containing client documents travels to a third party's server. Even with an enterprise plan and a data processing agreement (GDPR art. 28), there is still a transfer to weigh against your duty of confidentiality.
With private AI that transfer simply doesn't happen: the model and the search engine run on a server in the firm, connected only to the internal network. Nothing leaves, and the system keeps working even if the connection drops.
What it does not do
It gives no legal opinion and signs nothing: it is a search and drafting aid over your own documents, and a lawyer's review remains mandatory. It does not replace a legislation and case law database: it answers over the firm's archive, not over the official gazette. It cannot guess what was never indexed: if an approach was never written down, there is nothing to retrieve. And today it does not compartment by user: access is protected by a login, but whoever gets in can query everything that has been indexed. If each profile must see only its own matters, the scope of what gets indexed has to be narrowed.
Before you ask
Can I use ChatGPT with client documents?
An enterprise plan gives you a contract and guarantees, but the document still leaves the firm's perimeter and goes to a third party. That means assessing professional privilege and signing a data processing agreement (GDPR art. 28). With private AI there is no transfer at all, because the document never leaves the firm's server.
Does it replace a legal research database?
No. Those databases hold published legislation and case law; this AI answers over the firm's own archive: your filings, opinions, contracts and internal precedent. They are complementary.
How do I know the answer isn't made up?
Every answer cites the document and passage it came from, with a link to the original. If it finds no support in your archive, it says so instead of filling the gap.
Let's look at your archive
A 30-minute call to work out which matters are worth indexing first.