Contracts under control: finding deadlines, terms and clauses quickly

A company has its contracts under control when it can answer three questions at any time: What did we agree? By when can we terminate? And where does it say so? In most SMEs, this fails not because of the content of the contracts but because they cannot be found – they are scattered across folders, mailboxes and desk drawers. This guide shows how to make your contracts central and searchable – and why responsibility for deadlines still remains with the company.

In brief

• Contracts accumulate over years and in SMEs are usually scattered – people only start looking when it is urgent.
• The most expensive surprises are caused by inconspicuous long-term contracts with automatic renewal.
• Contracts become searchable in five steps: collect, digitise, name, store centrally, make queryable by question.
• The AI query quickly finds clauses and deadlines with the source – monitoring the deadlines remains the company’s job.
• Sensitive contracts require access rights, EU data storage and the commitment that documents are not used for AI training.

Why is contract filing so often a blind spot in SMEs?

Contracts come about along the way: the rental agreement when the company was founded, later the leasing for the vehicles, the insurance policies, the maintenance contracts, at some point the software subscriptions. Each one was read, signed and filed once – in a folder, as an email attachment, some only in a drawer or with the tax adviser.

Rarely is anyone responsible for the whole collection. That goes unnoticed for a long time, because contracts are patient: they cause no work as long as everything is running.

The blind spot becomes apparent suddenly – the insurance claim and the question of what is covered; the supplier invoking a clause; the maintenance contract that renews for another year because the notice period passed unnoticed. Then the search begins, under time pressure and at the worst moment.

Which contracts and questions come up in everyday work?

The everyday questions put to the contract collection are more specific than any contract list can reflect:

Type of contract	Typical everyday question
Rent and lease	“Who pays for this repair – us or the landlord?”
Leasing and financing	“When does the lease on the van end, and what applies when it is returned?”
Maintenance and service contracts	“What response time did the provider promise us?”
Insurance	“Is the damage to the rented machine covered?”
Supply and framework agreements	“What terms did we agree with the wholesaler?”
Software and telecommunications	“By when do we have to give notice if we want to switch?”

What all these questions have in common: the answer is in the contract. The real hurdle is finding the right contract and the right passage in it – and that is exactly where folder-based filing fails.

On top of this come occasions with time pressure from outside: the bank asks for documents before the financing meeting, the insurance broker needs the existing policies for a comparison, the tax adviser asks for the leasing contract. If you then have to spend days gathering things, you lose time and do not leave a good impression – if you have your collection in order, you deliver the same day.

Employment contracts and other HR documents are a special case: they do belong in the digital collection, but behind access rights that are open only to management. More on this below.

How do you make contracts searchable?

Building it up follows a proven sequence:

1. Collect: gather all contracts – from folders, mailboxes, drawers and from the tax adviser. This inventory alone regularly brings forgotten long-term contracts to light.
2. Digitise: scan paper contracts; text recognition (OCR, the automatic conversion of scans into searchable text) makes old contracts queryable too.
3. Name consistently: contracting party, subject and year in the file name – so that hits can be assigned immediately later.
4. Store centrally: one place instead of five. The contract collection belongs in one location, with clearly defined responsibility for new additions.
5. Make it queryable and check it: add the collection to an AI knowledge base and check it with real questions – for example “By when can we terminate the maintenance contract for the compressed air system?” – and compare the answers against the original.

How companies manage this build-up alongside day-to-day business is shown in the practical guide to the AI knowledge base.

What can the AI query do – and what remains the company’s job?

The strength of the AI query lies in questions about content: it quickly finds the termination clause, the liability provision or the promised response time – with the source, meaning which contract and which passage. It also understands variations in wording: if you ask about the “notice period”, you will also find the contract that talks about the “termination of the contractual relationship”.

This eases everyday work exactly where things used to get stuck: the fitter’s question as to whether the repair to the rented forklift is covered by the maintenance contract will in future be answered by the office manager in two minutes – instead of looking for the folder, skimming the contract and, if in doubt, calling the provider after all.

The first clear limit: a knowledge base answers questions – it does not remind you by itself. Monitoring notice and renewal deadlines belongs in a calendar or reminder system with a named person responsible. Responsibility for deadlines remains with the company; the knowledge base “only” makes it easy to read the deadlines reliably from the contracts in the first place and enter them.

The second limit: no legal advice. The query reproduces what is in the contract – whether a clause is valid, customary or disadvantageous is assessed by a lawyer or tax adviser. And because an AI can be wrong, the following applies before every decision: read the cited source in the original. If in doubt, seek professional advice.

What about the confidentiality of the contracts?

Contracts are among the most confidential things a company owns – the provider should be chosen with corresponding care. Ask about three points specifically before deciding: is the data stored on EU servers? Are the documents guaranteed not to be used to train third-party AI models? And can access rights be controlled per group of employees?

The third point is particularly important in the context of contracts: maintenance and supply contracts may be viewed by everyone who works with them – employment contracts, bank and shareholder documents only by management. How these points are handled in Goma-it’s AI knowledge base is described on the product page.

How do you get started in practice?

The first step takes an afternoon: the contract inventory. Collect the documents and note for each contract the party, the subject and – as far as can be found quickly – the term and notice period. This list alone gives more overview than most companies have ever had.

Then comes the expansion: digitise, store centrally, make queryable – starting with the twenty most important long-term contracts rather than the entire archive. How the introduction works in detail, from the initial conversation to the first real questions on your own contracts, is shown in the implementation process.