Legal Services
Build a custom contract clause library for your legal team
Kliv is an AI app builder. Describe your precedent, fallback ladders, and access rules, and it builds a searchable contract clause library for your legal team.
Just enter your idea into the text box and AI will build it for you
What is Kliv?
Kliv isn’t a contract-management product you configure — it’s an AI that builds software for you.
You describe the app you need in plain words, and Kliv builds it: the data, the logic, the screens, and the workflows. You own the result, run it on your own accounts, and can change it later by asking. It isn’t a template or a generic document repository.
On this page, that app is a contract clause library for an in-house legal team. Kliv builds all kinds of web apps; this is one example for precedent, search, and controlled access.
Why precedent should not live in old Word files
In-house teams often have years of useful negotiated language scattered across executed contracts, redline archives, and people’s memories. When a renewal stalls on a liability cap, the answer may already exist in an old MSA, but finding it takes too long.
Kliv builds a clause library in your own database. Clauses are stored with deal context, indexed so they can be found by meaning, and scoped by role so sales sees approved language while counsel sees the full negotiation history.
What the library knows
A clause library earns trust record by record. These are the parts that matter.
Clauses and context
Each clause is stored with the surrounding context: counterparty size, jurisdiction, deal value band, and what was conceded to win the deal.
Fallback ladders
For each clause family, such as liability, indemnity, or data protection, approved positions can be ranked as opening, fallback, and floor.
Search by meaning
A query like “cap tied to twelve months of fees” can find language even when a contract phrased it differently. Your team does not have to operate a separate vector database.
Role-scoped shelves
Sales sees approved fallbacks. Counsel sees negotiation history, concessions, and floor rationale. The difference is enforced by access rules.
The precedent agent
The agent retrieves language from your own clause records and cites the deals it came from. The judgment call stays with counsel.
The usage record
The library records which clause version went into which contract. When policy changes, you know which agreements still carry old language.
An example: Priya’s in-house legal team
Here’s how one legal team might use it. It’s only an example — you would describe your own clause families, fallback policy, roles, and escalation rules.
A stalled renewal becomes a search
Priya supports a 400-person software company. A $200k renewal stalls when the customer pushes for a broader indemnity clause, so the account executive searches the approved shelf.
Sales gets pre-approved language first
The sales-visible shelf returns the fallback legal already approved for this situation. If it fits, the deal moves without a legal meeting.
Past-the-floor requests escalate with context
The counterparty asks for uncapped indemnity. That is past the floor, so the request goes to counsel with the deal size, customer type, and redline attached.
Counsel searches actual precedent
Priya asks whether the team has accepted uncapped indemnity before. Two past MSAs surface, each with the concessions won in return and the deals cited.
A hard deal improves the library
After the deal is resolved, Priya adds the new fallback to the ladder. The next account executive finds it without starting from memory.
Describe what you want to build
Kliv builds from your description, so the more detail you give, the closer the first version. Include clause families, roles, fallback ranks, import rules, and escalation rules. Here are three to build on:
Clause library
Families, ladders, and search by meaning.
“Build a clause library for our in-house legal team. Create clause families for liability, indemnity, data protection, audit rights, and termination. Store each clause with counterparty size, jurisdiction, deal value band, and concessions. Rank each family as opening, fallback, and floor, and make the library searchable by meaning.”
Sales fallback shelf
Self-serve approved language with escalation past the floor.
“Build a sales-facing fallback shelf for contract negotiations. Sales can search approved fallback language by situation, see only language marked sales-approved, and open an escalation to legal when a request is past the floor. Include deal size, customer name, clause family, and the redline in the escalation.”
Precedent import
Three years of MSAs, tagged and queryable.
“Build a workspace where we upload three years of executed MSAs, tag clauses by family and counterparty type, store the deal owner and close date, and let counsel query the corpus by meaning with citations back to the source deal.”
How it comes together
The corpus is a knowledge base you author. Executed contracts and clause records upload into it and are indexed when they arrive. The agent answers from that corpus and follows the signed-in user’s role.
Roles are enforced in the data. Counsel, sales, and finance can see different shelves because visibility is enforced by row-level rules, not by a training reminder.
Escalations carry context. A past-the-floor request opens a thread with the deal attached, and Slack can notify counsel where the team already works. The answer rate — searches resolved without escalation — can be shown on a dashboard.
This pattern also fits policies, playbooks, and security questionnaires. The internal-tools page shows where the pattern leads.
Common questions
What exactly is Kliv?
Kliv is an AI app builder. You describe the custom web app you need, it builds it, and you own the result. For a clause library, that means records, search, access rules, and workflows built around your precedent.
Do I get a real app, or a template?
A real app. Kliv builds the database, screens, search, role rules, and workflows for your legal team. It is not a generic folder structure.
Can I change it after it’s built?
Yes. You can add clause families, change fallback ranks, adjust sales visibility, add import fields, or change escalation flows later.
Can the agent invent language that is not ours?
The page’s intended agent retrieves from your own clause records and cites the deals it used. Drafting judgment stays with counsel.
How does sales get access without seeing negotiation history?
Sales access is scoped to approved fallback rows. Concessions, floor rationale, and negotiation history live in rows a sales login does not receive.
What does importing three years of contracts look like?
You upload executed documents to the file store, then tag clause families and context as you work through them. The library becomes useful before the import is complete.
Is this a contract-management replacement?
It is focused on precedent and fallback language. It can grow toward intake and approval workflows later if you choose.
Can it cite the deal a clause came from?
Yes. The source claim is that answers cite your own precedent and the deal it came from, so counsel can check the source before using it.
Can different legal roles see different shelves?
Yes. Counsel, sales, and finance can have different views, with access enforced where the data lives.
Can I use my own domain?
Yes. The internal app can run on your own domain with sign-in for your team.
Can I move off Kliv later?
Yes. The app’s code syncs to your own Git repository, so leaving is a git pull rather than a rebuild.
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Build the library from your own precedent
Describe your clause families, fallback ranks, roles, and import rules. Kliv builds the shelves, search, and precedent agent around them.