Legal Services
Build a law firm case knowledge base
Kliv is an AI app builder. Describe your firm archive — briefs, motions, matters, walls, semantic search, cited answers, and audits — and it builds the knowledge base.
Just enter your idea into the text box and AI will build it for you
What is Kliv?
Kliv isn’t a document product you configure — it’s an AI that builds software for you.
You describe the app you need in your own words, and Kliv builds it: the database, the file store, the access rules, the search, the screens, and the agent behavior. What you get is a real web app that’s yours, on your own domain, and you can change it later by asking. It isn’t a template.
On this page, that app is a law firm case knowledge base. Kliv builds all kinds of web apps; this one turns a firm archive into a searchable, walled system for lawyers.
Why build your own case knowledge base?
Every firm has useful work product buried in a folder tree: the old brief, motion, memo, or settlement analysis that would save an associate hours this week. Filename search is not enough when the useful idea is phrased differently in the older document.
Kliv builds the archive as one application: uploaded files, matter tags, semantic search, an agent that answers from the firm’s own documents, and access walls that all read the same rules.
What the system knows
An employment-defense archive becomes objects with rules, enforced where they live.
The archive
Briefs, motions, mediation statements, and settlement memos are uploaded to the file store and tagged by matter, court, and outcome. Private by default.
The index
Semantic search can find an old motion that argues the same idea even when it uses different words. Indexing happens on upload.
The agent
A lawyer asks what the firm has argued before. The agent retrieves firm documents, discusses them, and cites the originals.
The walls
An ethical screen is a row rule. For a screened lawyer, walled matter documents do not appear in search, open, or inform the agent’s answers.
Matters and outcomes
Each document can know matter, jurisdiction, judge, claim type, and result, so past outcomes are queryable.
An example: Dana’s employment defense firm
Here’s how one firm might use a case knowledge base built with Kliv. It’s only an example — you would describe your own archive, tags, walls, users, and audit requirements.
The archive becomes files and rows
Dana uploads two decades of PDFs into the file store with matter tags. The documents become files and rows in the firm’s database.
The index reads the archive
Each document is semantically indexed as it lands, so a 2009 wage-and-hour brief and last month’s motion can be found by meaning.
A lawyer asks the firm’s own record
An associate preparing an arbitration motion asks what the firm has argued before. Three briefs come back with citations and context.
The ethical wall holds
A lateral hire screened from one matter searches nearby terms. The walled documents do not appear in results, citations, or answers.
Questions reveal gaps
Every conversation is stored as a transcript. The managing partner can see what lawyers ask and which topics need more archive upload.
Describe the archive you want to build
Kliv builds from your description, so the more detail you give, the closer the first version. Say what documents you have, what tags matter, who can access what, and what the agent should cite. Here are three to build on:
Litigation brief bank
Motions, oppositions, tags, search, and cited answers.
“Build a brief bank for our litigation group. Upload motions and oppositions tagged by claim type, court, judge, jurisdiction, and outcome. Add semantic search, matter-level access walls, and an agent that discusses prior arguments with our attorneys and cites the original documents.”
Deal precedent library
Clauses and negotiation history.
“Build a precedent library for our transactions team. Index negotiated agreements by clause type, counterparty, deal size, industry, and outcome, and let lawyers ask an agent how we handled earnout disputes before with citations to the relevant agreements.”
Advice memo archive
Regulatory memos behind matter walls.
“Build a searchable archive of our firm’s regulatory advice memos. Tag each memo by client, matter, issue, regulator, jurisdiction, and date. Enforce client-matter walls, and make the agent cite the original memo in every answer.”
How it comes together
The wall is enforced at the row. Sign-in decides who the lawyer is, and row-level rules decide which matters and documents can be read. A co-counsel network can be an invitation and entitlement, not a separate system.
The agent shows its work. It answers from the documents you uploaded and cites them. Verification means opening the cited brief or memo. It is a tool for lawyers, not public legal advice.
The walls can be tested before launch. A Scenario test can sign in as a screened attorney, search for a walled matter, and ask the agent about it against a disposable database copy. The run receipt shows every refused read and why.
A knowledge base often sits inside a wider professional practice with intake, matters, and billing. The services solutions page covers that broader shape.
Common questions
What exactly is Kliv?
Kliv is an AI that builds custom web apps from a description. For a law firm archive, it can build upload, tagging, search, matter walls, cited answers, transcripts, and tests.
Do I get a real app, or a template?
A real app. Kliv builds the database, file handling, access rules, and screens around your firm’s archive.
Can I change it after it’s built?
Yes. You can add tags, change wall rules, add practice groups, or adjust how the agent answers.
Does our archive leave our control?
No. The documents are files and rows in your database, and the application source can sync to a Git repository the firm controls.
How do ethical walls work?
As row-level rules in the database. A screened lawyer does not receive the walled matter’s rows, and search and agent answers inherit the same rules.
Will the agent invent case law?
It answers from the firm’s uploaded documents and cites them. When the archive has nothing on point, the answer should say the archive has nothing on point.
How much work is the initial upload?
You can start by uploading one practice group’s folder tree and describing the tags you need: matter, court, outcome, judge, claim type, and jurisdiction.
Can every answer be audited?
Yes. Conversations can be stored as transcripts with citations to the documents used.
Is this legal advice to the public?
No. It is an internal tool for the firm’s lawyers, grounded in firm documents.
Can co-counsel get limited access?
Yes, if you define that access. Co-counsel can be invited with entitlements to specific material.
Can I use my own domain?
Yes. The knowledge base can run on your own domain.
Can I move off Kliv later?
Yes. The code syncs to your own Git repository, and your files and rows remain yours.
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Turn the archive into a system
Describe your documents, tags, matters, walls, users, citations, and audit needs. Kliv builds the law firm knowledge base around them.