2 hours a day, gone to the search box. The math is uncomfortable.
A senior associate makes $250,000. 2 hours a day looking for the right document costs you $62,500 a year of their attention. Multiply by 200 attorneys. The line item is real and the firm partners can see it.
It's not just legal. The compliance analyst doing reconciliation. The product manager looking for the spec the engineer wrote in 2023. The new hire trying to learn what "good" looks like at your company. They are all paying the same tax.
What's actually slowing them down.
The search box was supposed to fix this. It did, for a while, until the corpus grew past what keyword search can handle, the answers stopped matching the question, and the team learned to ask the colleague who was around when the document was written.
| What's broken | What it costs |
|---|---|
| Search returns the document title but not the answer | Open, scan, close, repeat. Average 4 documents before the answer surfaces. |
| The corpus is split across SharePoint, Box, the legacy DMS, and email attachments | Multiple searches, manual reconciliation, half the answers missed. |
| AI tools answer the question but the user can't trust the citation | Trust falls back to the manual search. AI tool sits unused. |
| The colleague who knew where it was just retired | The question now requires an internal investigation. |
What changes on TeamSync.
The platform is federated, so the search reaches every system without you copying anything. The retrieval is semantic — it understands "what's our policy on" matches "policy", "guidance", "standard operating procedure", and the 8 other words your firm uses for the same thing. Every answer carries a citation back to the source document with the exact span the answer came from. And every answer is bounded by what the asking user is allowed to see.
The result, measured at customers: roughly 2 hours per knowledge worker per week recovered in the first 6 months, climbing to 4 to 6 hours by month 12 as adoption deepens.
Read the full role page.
This is the page your CIO and VP People Operations will read in full — with the productivity baseline, the deployment runbook, the change-management guidance, and the comparison to Glean, Microsoft Copilot, Notion AI, and the in-house RAG systems most firms have already tried.
→ CIO + VP People Ops — get knowledge work back from the search box
Related reading.
- Semantic Search capability — how the retrieval works
- DocuTalk capability — the user-facing AI copilot
- Knowledge-worker productivity initiative — the business case template