Your team inherits thousands of signed agreements and loses hours hunting for a single clause. Kavlo turns that backlog into structured, searchable obligation data with a confidence score on every field.
The problem
Obligations, renewal windows, indemnities, and liability caps sit inside signed PDFs across legal, procurement, finance, and security. Industry research from World Commerce & Contracting puts the cost of poor contract management at around 9% of annual revenue.
Unread terms compound into exposure no one has aggregated, and a missed notice window locks in an agreement on the vendor's terms.
What you get
Connect your document sources once. Kavlo ingests agreements in any format, classifies each one, and extracts the parties, key dates, payment terms, renewal terms, and obligations as structured fields. It infers values such as an end date from the stated term length when the date is not written out.
Datadog, Inc.
MASTER SUBSCRIPTION AGREEMENT
MSA-VEN-DDOG-2025 · Status: EXECUTED
Extracted Terms
Effective Date
Mar 14, 2025
Context: Stated in the cover-page summary table.
Execution Date
Mar 11, 2025
Initial Term
24 months
Context: End date inferred from the stated term length; no explicit expiry written out.
Auto-Renewal
Yes · 60-day notice
Total Contract Value
$540,000
Define your blessed standard clauses once. Kavlo builds an organization-wide clause repository and scores every instance High, Medium, or Low with a deviation percentage from your standard. You see total indemnification, limitation-of-liability, and termination exposure across every agreement in force, including expired ones whose obligations survive.
Risk scoring and deviation from your organizational standard
Kavlo tracks both the Notice Date and the End Date for each contract and surfaces them on List, Calendar, and Gantt timeline views. The 30, 60, and 90-day windows show what is coming due, with auto-renewal clauses flagged before the notice window closes so an unfavorable renewal never lands by default.
Monitor contracts approaching renewal dates
4
4 agreements
6
6 agreements
9
9 agreements
186
186 active
Datadog MSA
Salesforce Order Form
Workday Subscription
When a clause deviates from the blessed standard you defined, Kavlo proposes a redline that pulls the language back to your approved terms and shows the reasoning behind the change. Your lawyer reviews the suggestion, then accepts it as drafted or edits it before sending, so every counter starts from a position you already trust.
Compared against your blessed standards
Each party's indemnification obligations are capped at the fees paid in the prior twelve (12) months, excluding IP infringement and breach of confidentiality.
Customer shall indemnify the Vendor without limitation as to amount, for any third-party claim, excluding IP infringement and breach of confidentiality.
Kavlo suggests
43% deviationVendor left the customer indemnity uncapped, so exposure runs well above the fees paid. Restore the 12-month fee cap from your blessed standard before signing.
In practice
The legal team is two lawyers supporting a business that keeps adding vendors, and headcount is frozen. Contracts live in SharePoint, Google Drive, and a dozen inboxes, and answering a simple question, such as which agreements carry uncapped indemnification, means a day of reading.
They connect their document sources to Kavlo, and the signed base is read and structured in place. The clause repository populates on its own: termination, indemnification, liability caps, assignment, and insurance, each scored and measured against the standards the GC defined. Kavlo surfaces a cluster of agreements where indemnity sits well outside the blessed standard, several renewals landing in the same quarter with notice windows about to close, and vendor security commitments that were never tracked after signing.
The GC works the high-risk clauses against the standard using Kavlo's suggested redlines as a starting point, groups the overlapping renewals into a single negotiation, and stands up an approval-gated workflow so the next wave of contracts is reviewed consistently. The volume that used to break the team now flows through one system with an audit trail behind every decision.
Datadog, Inc.
MASTER SUBSCRIPTION AGREEMENT
MSA-VEN-DDOG-2025 · Status: EXECUTED
Extracted Terms
Effective Date
Mar 14, 2025
Context: Stated in the cover-page summary table.
Execution Date
Mar 11, 2025
Initial Term
24 months
Context: End date inferred from the stated term length; no explicit expiry written out.
Auto-Renewal
Yes · 60-day notice
Total Contract Value
$540,000
This is a representative scenario based on Kavlo's capabilities.
Before / after
Finding a clause
Portfolio risk
Renewals
Redlining
Vendor obligations
Volume
Integrations
SharePoint
Google Drive
Box
Gmail
Outlook
OneDrive
Okta
Salesforce
Slack
Microsoft Teams
ClaudeSecurity
Built for organizations that take data governance seriously. Your contracts never leave your control.
Enterprise-grade infrastructure. Your data never touches shared environments.
Your contracts, your data, your terms. No model training on your documents.
SOC 2 Type II certification in progress. Security and availability controls at every layer.
Every extraction, every workflow action, every approval tracked and exportable.
No. A CLM handles pre-signature work like drafting, negotiation, and e-signature. Kavlo works on the signed base afterward: extracting obligations, scoring clause risk, tracking renewals, and powering operations. It connects to your existing document sources and sits alongside the CLM.
Every extracted field comes with a per-field confidence score and a jump-to-source reference, plus three metadata layers explaining what the field is, what it means in plain language, and why it was extracted. Your team verifies low-confidence fields directly against the source, and any field is editable, so the record stays defensible and auditable.
PDF, Word, Excel, scanned images, and email attachments. Kavlo auto-classifies each document by type and normalizes everything into the same structured output, so a scanned legacy agreement and a native PDF land in the same searchable record.
Kavlo compares any clause against the standards you define and suggests redlines with the reasoning behind each one, so your lawyers start from a flagged deviation and a proposed change. The attorney decides what to send. Defining the blessed standard keeps the suggestions anchored to terms you have already approved.
No. Your data is never used for model training. Kavlo runs in a private cloud with full multi-tenant data isolation between organizations, and SOC 2 Type II certification is in progress.
Also for
Point Kavlo at a folder of agreements you already have, and see the obligations, renewals, and clause risk it surfaces from your own portfolio.
