I read a statistic a few months ago that made me stop: according to McKinsey, an average knowledge worker spends 1.8 hours a day searching for information. Not reading it, analyzing it, using it. Just searching for it.
Do the math: that's 9 hours a week. A full day plus a couple of hours. 19% of working time.
When I shared it with a client, the director of a medium-sized law firm, he looked at me and said: "Only 19%? With us it's worse."
The cost nobody budgets for
Let's talk money, because numbers help understanding.
Let's take a professional who costs the company 60,000 EUR a year, all included. If they spend 19% of their time searching for information instead of working, that's 11,400 EUR a year in lost productivity. For a single employee.
A firm with 50 professionals? That's 570,000 EUR a year. Half a million euros flying out the window because people can't find what they're looking for.
And this is without counting the indirect costs: decisions made without having all the information, work redone because no one knew it had already been done, opportunities lost because the answer came too late.
"But we have an archiving system"
I hear it often. And almost always, when I go to look, the "archiving system" is a folder structure on a server, with a logic that made sense when it was created but that today no one remembers anymore.
Folders inside folders inside folders. Cryptic file names. Multiple versions of the same document with suffixes like "final", "final2", "final_really", "THIS ONE".
The problem isn't the absence of organization. It's that folder-based organization doesn't scale. It works when you have 100 documents. It becomes a nightmare when you have 100,000.
As a Valamis report on productivity highlights, workers spend more time navigating file systems than actually using the information they contain.
The real problem: the knowledge that walks away
There's an aspect that worries me even more than the time lost: the knowledge that disappears.
Every time a senior employee leaves the company, for retirement, job change, any reason, they take with them years of tacit knowledge. They know where to find things. They know which documents are important. They know how a 2018 case file connects to a 2022 decision.
This knowledge isn't written anywhere. It lives in people's heads. And when they leave, the company has to rebuild it from scratch.
I've seen professional firms go into crisis because the founding partner retired and no one knew anymore where things were. Not because they weren't there, they were all there, diligently archived. But nobody knew how to find them.
Email: the black hole of corporate knowledge
Want to know where most of an organization's critical knowledge ends up? In the email inboxes of individual employees.
That supplier reply with the important technical details? It's in Marco's email. The client confirmation on the project specifications? It's in Sara's email. The discussion that led to that strategic decision? It's in an email thread between four people, each with their own saved version.
According to the Radicati Group Email Statistics Report 2024-2028, an average employee receives over 120 emails a day. Multiply by 250 working days, by the number of employees, by the years of activity. Do you have a sense of the volume of information trapped in mailboxes?
And when someone leaves the company, that inbox becomes an inaccessible archive. The information is there, but finding it is practically impossible.
Traditional search doesn't work anymore
"But there's the search function!" Sure. And it works great if you know exactly what you're looking for and remember the exact words used in the document.
The problem is that it rarely works that way. Usually what you know is something like: "There was that document from last year, on the client issue... what was it called? Something about compliance, or maybe privacy..."
Keyword search fails miserably in these cases. You have to guess the exact words, and if you get it wrong you find nothing.
It's like searching for a book in a library where books aren't cataloged by subject, but only by the words in the title. Good luck.
How AI is changing everything
Here's where artificial intelligence comes in, and I'm not talking about science fiction.
Modern document intelligence systems use what's called "semantic search", they search by meaning, not by words. If you search for "problems with the 2023 contract", the system also finds documents that talk about "contractual issues", "disputes with the supplier", "renegotiation of terms".
But there's more. With current language models (LLMs), you can ask questions in natural language. Not "contract AND 2023 AND penalty", but "which 2023 contracts provide for penalties above 5%?". And the system answers you, citing the specific documents.
Box, in their blog on unstructured data, explains well how these technologies are transforming the way companies manage information. It's no longer about archiving, it's about making knowledge queryable.
The ROI nobody calculates (but should)
Let's go back to the numbers, because numbers convince.
If you reduce by 50% the time people spend searching for information, at that 50-person law firm you save 285,000 EUR a year. Not by cutting staff, by increasing the productivity of the existing ones.
And this is just the direct savings. Add:
- •Better decisions because based on complete information
- •Faster responses to clients
- •Fewer errors from missing information
- •Faster onboarding of new employees
- •Continuity when someone leaves
I've seen studies that calculate a 300-400% ROI for well-implemented document intelligence projects. And honestly, it seems conservative to me.
Where to start
If you recognize yourself in what I've described, and if you're a knowledge worker, almost certainly yes, here's what I suggest.
First of all, measure. For a week, keep track of how much time you actually spend searching for information. Don't estimate, measure. The number will surprise you.
Then identify the critical points. Which searches do you do most often? What information is hardest to find? Where do you lose the most time?
Finally, evaluate modern solutions. Document management systems from ten years ago aren't up to it. You need something that uses AI, semantic search, natural language understanding.
And, a critical aspect, make sure the solution respects the confidentiality of your data. Many cloud tools process documents on external servers. For sensitive information, this can be a problem. On-premises alternatives exist that give you the same capabilities without risks.
Time is the only non-renewable resource
You can buy more disk space. You can hire more people. But you can't buy more time.
Every hour spent searching for information is an hour that will never come back. And multiply this hour by all the people in your organization, by all the days of the year, by all the years of activity.
19% of working time lost to searches. One day a week. 47 days a year per employee.
The question isn't whether you can afford to invest in a solution. The question is whether you can afford not to.
If you want to estimate the impact in your context, write to us through Contact with document volume, team involved and current timing.
