Search success rate
This shows whether people get usable answers. Low values suggest poor coverage in the repository or unclear results.
- Review failed searches for missing documents.
- Ask users to mark results as useful.
An AI contract search agent takes a plain request, such as every contract with a price uplift above a set rate, and searches the content of the contracts, not just their titles.
A user types a query or sets filters.
The agent maps the query to clauses and fields.
It looks across text, tags and metadata.
Matches are ordered with the clause shown in context.
The user opens the contract to confirm the match.
A useful search is saved for reuse.
It returns the matching documents with the relevant clause text highlighted and a note on why each matched.
It combines text search with structured fields, so a request can mix wording and filters such as vendor, type or date.
Keyword search on file names misses most of what matters. The terms people need are inside the documents, and the same idea is worded many ways.
A file called 'agreement' says nothing about its terms.
'Terminate for convenience' and 'cancel without cause' mean the same.
Legal and finance often need all contracts with a given feature.
Each request becomes a mini project.
People rely on the first hit without reading the clause.
Work out whether the question is about a clause, a field or a combination.
Look through full text and metadata, matching meaning as well as exact words.
Order results by relevance and group them by vendor or contract type.
Display the matching clause with its location and explain the match.
Let the user narrow or widen the question and save useful searches.
Bring a small sample and watch Flo work through it.
| Aspect | By hand | With the agent |
|---|---|---|
| Finding text | Keyword search misses synonyms. | Queries match clause meaning as well as wording. |
| Scope | Users search one contract at a time. | One query runs across the repository. |
| Filters | Metadata filters need training. | Plain-language filters map to fields. |
| Context | Results show a file name only. | Results show the matching clause and its location. |
| Reuse | Repeated searches are retyped. | Searches can be saved and shared. |
| If | Then | Who decides |
|---|---|---|
| the query names a clause topic | return matching clauses grouped by contract | User |
| the query names a vendor | limit results to that vendor's family | User |
| a user lacks access to a contract | exclude it and say that some results are hidden | Contract administrator |
| results are many | group them by clause outcome | User |
| no result matches | say so and suggest a broader query | User |
| the query seeks a legal view | return the clause text and suggest legal review | Legal counsel |
Old versions match too. The agent marks results from superseded documents and the user checks currency.
Poor text hides matches. The agent notes that some documents were unreadable and an administrator can rescan.
A term has several meanings. The agent shows the variants and the user picks.
Search touches confidential files. The agent respects access flags and does not reveal hidden matches.
Talk it through with the team. We will map it to your steps and show where a person stays in control.
Start with one contract family.
Check answers against known answers.
Open to buyers once access rules hold.
Share the ones teams keep using.
This shows whether people get usable answers. Low values suggest poor coverage in the repository or unclear results.
Quick answers to what people ask most about contract search.
Book a demoIt is searching the content of contracts using ordinary language and returning the matching clauses and documents, rather than only matching titles or tags.
It matches meaning as well as words, so differently worded clauses that cover the same point are found together.
It can search every contract in the repository that the user has permission to view, combining text and structured filters.
No. Each result shows the source clause so that you can read it, and important decisions should be based on the clause itself.
A contract repository is the central store where executed agreements, amendments and related records are kept and can be found.
→Contract Q&A is the answering of specific questions about an agreement, such as when it renews or whether the vendor can raise prices.
→Contract signature routing is the process of deciding who must sign an agreement, in what order, and sending it to them with the right pre-checks complete.
→Contract termination is the ending of an agreement before or at its end date, which requires following the notice, form and timing rules the contract sets.
→Bring a small sample of real items. We will show what Flo handles on its own and where it hands over to your team.