Selection guide
How an AI contract management system differs from a regular one: five everyday steps
A regular contract system manages process and records: who drafted, who approved, whether it is signed, where it is stored.
- By
- Zico Team
- Published
2 min read
The short version
A regular contract system manages process and records: who drafted, who approved, whether it is signed, where it is stored. An AI contract management system adds one thing on top: it reads the contract text itself, and prepares the clause issues, version changes and register fields for a person to confirm. The workflow stays the same; what shrinks is the reading and copying people do by hand at each step.
So the test is not whether a system has a chat box, but whether it can read the text first at each of these five steps.
1. Review: from "find someone to read it" to "start with a list"
In a regular system, legal reads the whole contract and leaves comments. An AI system first scans parties, payment, breach, governing law and IP clauses from your side (buyer or seller), produces a graded list, and separates clauses that work against you from terms that are missing. Each item points back to the source text. The list is a first draft: in Zico, findings go back to the original text and enter the workflow only after a person confirms them.
2. Negotiation: from comparing versions by eye to flagging substantive changes
A regular system stores every version; comparing them is manual. An AI system aligns two versions clause by clause, separates substantive changes from wording edits, and points out which changes affect conclusions already checked in the previous round.
3. Approval: from opening the full text to reading a summary
An AI system can summarise the main contract, check it against its attachments, and flag mismatches; with a negotiation transcript, it can also compare what was said with what was written.
4. Filing: from typing the register by hand to pre-extracted fields
Parties, amounts, terms and payment milestones are extracted from the text into structured fields, with missing items listed separately, confirmed by a person and sent on to downstream systems via API.
5. Performance: the same reminders, with more complete data
Payment schedules, expiry reminders and finance-system links belong in any contract system. The AI difference comes one step earlier: complete register fields mean reminders do not get missed.
Is it right for you?
- Low volume, highly standard terms: a regular system that manages the workflow is enough.
- Small legal team, many contracts, many revision rounds, or a backlog of old contracts: AI review, comparison and extraction add the most value.
- Already have a contract system or OA you want to keep: add the AI capabilities only, and keep your register, approvals and permissions where they are.
Three things to test in a demo
- Use one of your own contracts: can each finding point back to the source text, and are unfavourable and missing terms listed separately?
- Use two real revisions: are substantive changes listed on their own?
- Ask where contract data is stored, where the AI runs, and whether findings need human confirmation before entering the workflow.
See the AI capabilities page on zico.fim.ai for details.
Related
Bring these questions to a demo
Book a dedicated demo and walk one complete path matching your organization, collaboration platform and deployment requirements.