Every executed agreement in a life sciences portfolio is a bundle of promises: pay this milestone when enrollment hits 50%, notify the sponsor of a serious adverse event within 24 hours, retain trial records for the mandated period, complete the post-marketing study the agency conditioned approval on. Signature day is when those promises start, and it is also the day most organizations stop reading the contract.
That gap has a name: post-signature value leakage. Industry benchmarks referenced across Aavenir’s platform research put roughly 70% of contract cost and risk after signature, and around 40% of contracts fail to deliver their intended value. In most industries that means margin erosion. In life sciences it can mean a compliance event, because a large share of the commitments in your contracts are regulatory duties wearing contractual clothing.
This datasheet covers what obligation management is, how AI extraction works, which obligation types it tracks, and exactly what your legal, quality and clinical operations teams get from it.
What is obligation management, and how is it different from CLM?
Contract lifecycle management handles the agreement itself: intake, authoring, negotiation, approval, e-signature, renewal. Obligation management handles what the agreement says you must do. It extracts every commitment from the executed document, structures it, who owes what, to whom, by when, how often, assigns it a named owner, and tracks it to closure with evidence attached.
The two are complementary, and most life sciences teams need both. A fast negotiation followed by an untracked contract simply gets you to risk sooner. That is why Aavenir delivers CLM and obligation management on one platform: the same system that executes the agreement immediately starts enforcing it.
In life sciences, a contract gap is a compliance event. A missed pharmacovigilance handoff, an overlooked post-marketing commitment or an unenforced quality-agreement duty is regulatory exposure, published industry penalties for life-sciences regulatory breaches run into the hundreds of millions. Spreadsheet tracking is not a defensible control for obligations of that magnitude.
How does AI obligation extraction work?
The core problem with obligations is that they are born as prose. AI extraction converts that prose into structured, actionable records in five steps:
- Ingest. Executed agreements, new signatures and legacy paper, flow into one AI-searchable repository with full metadata and version history.
- Extract. NLP models identify obligation-bearing language: payment triggers, reporting duties, deliverables, notice periods, retention requirements, renewal and termination conditions.
- Structure and classify. Each obligation is captured with its responsible party, counterparty, trigger, due date and frequency, and classified by type, financial, regulatory, quality, operational, so nothing hides in a definitions section.
- Assign and remind. Every obligation gets a named owner and automated reminders ahead of each due date. Ownership is the difference between a tracker and a control.
- Track and evidence. Owners close obligations with fulfilment evidence attached to the contract record, and dashboards show status across the whole portfolio, by study, supplier, product or regulation.
Humans stay in the loop where judgment matters: extracted obligations are reviewed and confirmed before they become live tasks, so the system’s accuracy compounds instead of eroding trust.
Which obligation types does it track?
FDA and EMA regulatory commitments
Post-marketing commitments, agency reporting duties and regulatory conditions embedded in licensing and development agreements. These are the obligations where a miss is answered to a regulator, not a counterparty.
Milestone and payment obligations
Enrollment-based milestone payments in clinical trial agreements, development and royalty milestones in licensing deals, and screen-failure or startup payments to sites. Extraction ties each payment to its contractual trigger, so finance pays what is owed, no more, no less, never late.
GxP quality agreement duties
Quality agreements assign roles and accountability between sponsors, CMOs and suppliers: change notifications, deviation reporting, batch-record duties, audit rights. Obligation management makes those assignments operational instead of aspirational.
Pharmacovigilance and safety reporting
Safety data exchange timelines and adverse-event reporting duties spread across CRO, site and partner agreements. These are short-fuse, high-consequence obligations, precisely the kind reminders and dashboards exist for.
Record retention
Retention periods for trial and quality records vary by agreement, country and regulation. Extracted retention obligations keep every record held as long as required, and defensibly disposed when it is not.
See extraction on your own contracts
Bring an executed CTA or quality agreement and watch Aavenir extract the obligations inside it, live, on your paper, in one session.
Capabilities at a glance
| Capability | What it does | Who relies on it |
|---|---|---|
| AI obligation extraction | NLP pulls obligations, milestones and deliverables from executed contracts, new and legacy | Legal, contract operations |
| Ownership & reminders | Every obligation assigned to a named owner with automated reminders before due dates | Clinical ops, quality, finance |
| Obligation dashboards | Portfolio-wide status by study, supplier, product or regulation; overdue items escalate | Legal ops, leadership |
| Fulfilment evidence | Proof of completion attached to the obligation and the contract record | Quality, regulatory affairs |
| Audit-ready records | Immutable audit trails, version history and role-based access aligned with 21 CFR Part 11 and GxP expectations | Quality, audit, legal |
| Connected platform | Obligations share one data model with contracts, sourcing and vendor onboarding, standalone or native on ServiceNow | IT, procurement |
How do you roll it out?
Obligation management programs fail when they start with everything. The rollouts that stick follow a narrower sequence:
Start with the highest-consequence portfolio
Pick the contract family where a missed obligation hurts most, usually active clinical trial agreements or quality agreements with commercial CMOs. Run extraction across that set first, confirm the extracted obligations with the owning teams, and stand up the reminder and dashboard layer. A contained first wave builds trust in the extraction and gives quality leadership a working control to show in the next audit.
Backfile the legacy estate on a schedule
Most of the risk sits in contracts signed years ago and never re-read. Because extraction works on executed documents, legacy agreements can be processed in batches, by product, by supplier tier, by expiry date, without waiting for renewals. Each batch converts dormant paper into live, owned commitments.
Wire obligations into the systems people already use
An obligation register nobody opens is a prettier spreadsheet. Reminders should land where owners work, and obligation status should share a data model with contracts, sourcing and vendor onboarding, which is why Aavenir runs standalone or natively on ServiceNow, so quality, procurement and legal act on obligations inside their existing workflow rather than around it.
What you get
Deployed against a life sciences portfolio, obligation management delivers a short, concrete list of outcomes:
- �??One obligation register across CTAs, quality agreements, CRO MSAs, licensing and supply contracts, replacing every team’s private spreadsheet.
- �??A named owner and a due date for every extracted commitment, with reminders that fire before deadlines, not after.
- �??Milestone payment accuracy, payments tied to contractual triggers and tracked to closure instead of reconciled at study closeout.
- �??Regulatory commitments visible in one dashboard, FDA, EMA, pharmacovigilance and retention duties, filterable by product and study.
- �??Evidence on demand, fulfilment proof linked to the source clause, so audit and dispute responses take minutes.
- �??Faster cycles upstream too, customers running Aavenir end to end report contract cycles up to 5�? faster, because the same platform handles the lifecycle and the aftermath.
The pattern across customers is consistent: obligation management pays for itself on missed-milestone recovery and audit-preparation time alone, and the compliance posture improvement is the part quality leaders actually buy it for. For the negotiation side of the same story, see the clinical trial agreement automation guide; for the inspection side, the 21 CFR Part 11 & GxP audit checklist.