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ContractAnalyze converts contract language into analytics you can filter, search, and act on — across vendors, customers, and partners.
Monitor obligations, renewals, and clause variance with a single source of truth.
Provide agreements, we structure the data, and you explore dashboards, briefs, and searches to make decisions.
Step one: normalize contracts and identify sections, clauses, and key entities.
Step two: compute metrics — clause presence, variance from playbooks, obligations by owner and due date, and renewal timelines.
Step three: present live dashboards and briefs so teams can prioritize actions and reduce cycle time.
Turn contract language into fields, metrics, and searchable signals.
Spot exceptions, risk, and renewal exposure with filters and cohort views.
Briefs and task integrations help legal and business teams close gaps.
Encryption, access controls, and optional zero‑retention keep sensitive data protected.
Secure connections, strong encryption, and short‑lived processing by default.
Role‑based access, audit logs, and SSO/SAML for enterprise.
Regional residency and retention controls available.
Dashboards built from clause classification, entity recognition, and playbook alignment.
Renewal and obligation trackers reduce surprises and missed actions.
Portfolio search across vendors, customers, and agreements using embeddings.
Briefs that translate legal nuance for business leaders.
Answers to common questions about dashboards, KPIs, and portfolio search for contracts.
Exception rates, renewal exposure, clause coverage, time‑to‑close, and more.
Yes. Views can be tailored by portfolio, region, product, and owner.
Yes, contracts are normalized before analytics are computed.
We score likelihood and impact and present concise briefs with references.
Jan 14, 2026
The limitation of liability clause is the line between a manageable hiccup and a serious hit to the business. Caps, carve-outs, and excluded damages (like indirect, consequential, or lost profits) dec...
Read more →Jan 13, 2026
Non-compete agreements are getting a lot of heat right now. Between the FTC’s 2024 rule and a maze of state laws, it’s hard to know what’s safe and what’s going to cause headaches later. So, can AI au...
Read more →Jan 12, 2026
If your renewals, notice windows, and deliverables are scattered across spreadsheets and inboxes, you’re probably bleeding money and inviting last‑minute chaos.The upside: modern AI can read your cont...
Read more →Here “smart” doesn’t mean blockchain code—it means smarter analytics for contract documents. The goal is to turn language into metrics, trends, and briefs your teams can actually use: clause coverage, exception rates, renewal exposure, obligations by owner and due date, and variance from your playbook. Dashboards give leaders the picture; briefs and tickets move work forward.
Analytics rests on a clean data model. Clauses are typed and versioned, entities capture parties/dates/amounts, and events track renewals, notices, audits, deliveries, and approvals. Once those three are reliable, filters and cohorts (by product, region, segment, or counterparty) start to sing.
Skip vanity charts. If a metric doesn’t change a decision, it’s noise.
Clause-level analysis is useful, but the big payoff is portfolio views. For example: “Which customers have liability caps below 12 months’ fees?” or “Where are we missing IP infringement carve‑outs?” Cohort comparisons make negotiations easier—“market” claims are easier to test when you can show distribution.
Analytics should feed a tracker where owners and due dates are obvious. Anything with a clock—renewals, audit windows, termination notice periods—belongs in a queue with reminders. Connect ticketing so owners get tasks with context and links to the clause that created it.
Use similarity search to compare live clauses to your library. Show an acceptability label, a diff, and a short suggestion. Track variance by region or product line to spot systemic issues (e.g., one template consistently ships without a data‑security carve‑out).
Leaders want trend lines and risk exposure, not wall‑to‑wall detail. Give them three boards: Renewals (90‑day pipeline with risk notes), Exceptions (top five by frequency/impact), and Coverage (policy compliance by template/region). Everything else should be drill‑down.
Scans happen. Put OCR/cleanup front and center and measure separately for scanned vs. digital PDFs. Keep a “view source text” link everywhere so people can check the sentence that created a metric. Traceability is how analytics earns trust.
Use encryption in transit/at rest, role‑based access, audit logs, regional data residency, and retention controls (including zero‑retention modes). If you handle personal data, document redaction paths and how PII minimization works.
0–30: Stand up extraction for two doc types; define KPIs (exceptions, renewals). 31–60: Wire dashboards, connect ticketing, and run weekly owner reviews. 61–90: Expand cohorts, publish accuracy and SLA targets, and start quarterly reviews with business stakeholders.
Teams typically report fewer surprise renewals, faster approvals (because exceptions are known earlier), and clearer negotiation stances backed by data. Measure before/after on missed renewals, average time‑to‑close, and exception rates for 3–5 key clauses.
Can we customize dashboards? Yes—by product, region, owner, or counterparty. What about scans? Supported; track accuracy separately. Will this replace counsel? No—it gives them cleaner signals and fewer fire drills.
