Clauses drawn from the approved library
A low figure suggests the library is hard to use or incomplete. Look at which topics fall outside it.
- Track by clause topic.
- Note searches that returned nothing, as these show gaps.
An AI clause library lookup agent takes a clause topic or a passage from a draft and searches your approved library for the matching clause.
The agent reads a clause in a draft contract.
It labels the clause, such as notice or confidentiality.
Approved wording for that type is found.
Library text appears beside the draft with differences marked.
Legal picks the library wording or accepts the draft.
The chosen library entry is recorded against the clause.
It returns the standard wording along with the approved fallback variants, and states the conditions for each.
It records where each clause was used, so legal can see which wording is in circulation.
A clause library is only useful if people can find the right entry quickly. In practice they search folders, ask colleagues or copy from the last contract, and the approved wording is not what gets used.
Keyword search misses clauses filed under a different name.
Standard, fallback and strict versions look similar without notes.
The last agreement is quick to find but may use outdated wording.
The note on when to use a variant often sits in another document.
Legal cannot see which wording ended up in signed contracts.
The agent reads the topic, or the clause text pasted from a draft, to identify what is needed.
It looks through approved clauses by meaning rather than exact words, so differently named entries are found.
The preferred clause is shown first, followed by approved fallbacks and when each applies.
Any drafting note or condition attached to the clause in your library is shown alongside it.
The agent records which clause was retrieved for which contract, for legal to review.
Bring a small sample and watch Flo work through it.
| Aspect | By hand | With the agent |
|---|---|---|
| Finding wording | Lawyers search old contracts for the right clause. | Agent retrieves approved wording by clause type. |
| Comparing | Draft and standard text are compared by eye. | Differences from the library text are marked. |
| Context | Library entries lack notes on when to use them. | Usage notes and fallback links appear with each entry. |
| Currency | Several versions of the same clause circulate. | Only the current approved entry is returned. |
| Learning | New wording never reaches the library. | Accepted wording is listed for the library owner to consider. |
| If | Then | Who decides |
|---|---|---|
| Clause matches a library type | Return the approved entry | Legal counsel |
| Clause text differs from the entry | Mark differences | Legal counsel |
| Clause type is unclear | Offer the closest types | Legal counsel |
| No entry exists | Report a gap | Library owner |
| Several entries apply | Rank them by deal type | Legal counsel |
| Entry is out of date | Show the replacement | Library owner |
The agent splits it into parts and looks up each. The lawyer checks the split reflects the intent.
It lists the term the wording relies on. The lawyer confirms the draft defines it.
The agent notes where the draft favours us over the entry. Legal decides whether to keep it.
It is still identified by content, not by position. The lawyer confirms the label.
Talk it through with the team. We will map it to your steps and show where a person stays in control.
Clean up versions and label each entry with a clause type.
Let lawyers use retrieval beside their own search.
Show draft-to-library differences on live reviews.
Review accepted wording monthly and update entries by hand.
A low figure suggests the library is hard to use or incomplete. Look at which topics fall outside it.
Quick answers to what people ask most about clause library lookup.
Book a demoIt is searching a company's approved clause bank for the right wording on a topic. It helps drafters use consistent language instead of copying from old contracts.
No. It retrieves approved wording and its variants. New or changed clauses are written and approved by legal.
It searches by meaning, so a request for data deletion can match a clause titled return of information.
It shows the conditions attached to each variant in your library. A person decides which one applies.
Contract template selection is the step of choosing the correct starting document for a new agreement, such as an NDA, master services agreement or order form, based on what is being bought.
→Clause suggestion is the practice of proposing contract clauses that a draft lacks or states weakly, based on the type of deal and the company's policy.
→Contract pricing validation is the check that the prices, rates, discounts and fees written into a contract match what was quoted, ordered and later billed.
→Redline review is the reading of tracked changes a counterparty makes to a draft contract, to understand what has changed and whether each change is acceptable.
→Bring a small sample of real items. We will show what Flo handles on its own and where it hands over to your team.