What legal operations lose inside an ERP, and what AI can actually read, check and propose against the signed agreement. Contract review against your own playbook, obligation extraction, renewal and notice dates, and third-party paper, in Dynamics 365 Business Central and Finance & Supply Chain Management.
Your contracts are signed, filed as PDFs, and forgotten — until a renewal rolls or an obligation is missed. Here's how legal AI built into your ERP turns the paper into data that lives against the record.
Ordered by chapter. Each post stands alone but builds on the one before it.
The layers behind AI contract review — grounding, clause matching, structured extraction, obligation scoring — and why the answer has to land inside the ERP the work already runs on.
Every legal-AI vendor demos well. These seven questions — about your playbook, your systems, evidence, adoption and where your data lives — separate the ones that will actually get used from the ones that won't.
When a horizontal legal-AI platform is the right call, and when building the capability into the ERP your team already runs beats it — decided by where your contracts live and who has to switch tools.
Redlining is proposing the edit, not flagging the risk. That distinction decides whether a system saves a reviewer time or simply moves the work elsewhere.
It reads each contract against your own playbook rather than general legal knowledge, scores every clause, and puts the result in front of a reviewer in Word.
Both, and the split is not arbitrary. CLM holds the document and its history; the ERP holds the terms that price a purchase order. Microsoft documents it.
Review against your own rules instead of general legal knowledge. The playbook is the standard, so its structure decides the quality of every answer.
Buy, in most cases, and the deciding reasons are not the ones vendors give. What you purchase is resilience rather than intelligence.
Two different products sold under one name. Pre-signature reads a draft against your rules; post-signature watches what you agreed. Most teams buy the first.
On four triggers, not on a confidence score. A score in the middle is the least informative number in the system, and it fills queues with nothing useful.
Five terms cross over and the rest stay in the document. An agreement attaches only at purchase-order creation, and a changed price breaks the link silently.
Pulling the promises out of a signed contract and turning each into something a system can check. Extraction is the easy half; where they live is the hard half.
A review is hundreds of calls across several stages, so an outage lands mid-document. What separates a demo from a product is whether finished work survives.
FIFO where order is the correctness requirement, standard where throughput is. A document pipeline usually needs both, at different stages.
One place for the document, one for the terms that act. A repository holding files solves finding; it does not solve knowing, and those are different problems.
Positions, not topics. A checklist listing what to look at gives a different answer every time; one stating what to accept is the only kind a system can act on.
Usually not the reading. Waiting, deciding twice, chasing the counterparty and re-reading what was agreed consume it, and only one is fixed by reading faster.
A missed renewal is a data problem, not a reminder problem. The date lived in a PDF nobody queries, owned by nobody, with no consequence attached.
Start from the ERP, not the filing cabinet. Business Central already holds the terms performed every day, and auditing those finds the money faster.
Eight stages from request to renewal, and AI helps unevenly. Three are transformed, three barely touched, and the two that leak money are usually ignored.
Business Central holds the commitment, not the contract. AI review reads the document your ERP never sees, then checks the terms that did reach it.
Business Central holds a blanket order, Finance and Supply Chain holds a purchase agreement, and only one documents a rule that stops you breaking the price.
Three routes: what Business Central already ships, an AppSource add-on, or external CLM. Which fits depends on whether you need to schedule money or know terms.
Microsoft names contracts as a supported type, but agents cap PDFs at ten pages and read text rather than layout. The document handling is the real work.
It reads PDF attachments in a monitored mailbox, extracts with Azure Document Intelligence, and drafts an invoice. What it skips is the more useful list.
Yes for a change, no for the original entry. Business Central can revert an edited field and route it, but no workflow knows if the first value was right.
Enterprise CLM platforms point their Dynamics integrations at Finance and Operations and Sales, not Business Central. You need something, likely not those.
Real fields exist: Cancellation Possible Until, Term Until, Subsequent Term. The clauses that fill them sit in a document nothing reads. Blank means terminable.
An MSA sets terms, a SOW spends against them, an MOU commits nothing. Business Central has one flat vendor record for all three, and cannot show the hierarchy.
Any agreement drafted on the counterparty template rather than yours. It is most of what a mid-market company signs, and it defeats clause-position review.
Microsoft document understanding for SharePoint, now inside SharePoint Premium. It extracts fields where files live. It cannot check them against your ERP.
Four things, all documented by Microsoft. A changed price breaks the commitment link, an agreement cannot attach after the order exists, and a field is cleared.
Every playbook term against every clause is a multiplication, not a sum. The lever is routing: decide cheaply what to read before the expensive model runs.
Not yet. Microsoft documents no built-in trigger for an inbound email, an event or a schedule, and contract work is made of those three. GA is October 2026.
Four things share the name: assistants, copilots, agentic workflows and decision intelligence. Only two change how work gets done.