Contract Management

Turn your contract archive into a living database.

Most contract portfolios are static PDFs no one can search. eBrevia digitizes the archive and uses AI to extract the clauses, metadata, obligations, and dates inside — turning a folder of documents into structured data you can monitor, report on, and connect to the systems your business already runs on.

DigitizeConvert a static archive into searchable records
ObligationsRenewals and notice dates surfaced automatically
Structured700+ pre-trained fields as clean, queryable data
ConnectedFeeds your CLM and business systems
How it works

From archive to operational contract data.

Ingest the repository, extract and structure what matters, monitor the dates that carry risk, and push the data into the systems your teams use every day.

Built for the whole portfolio.

eBrevia is document-agnostic, so it works across decades of inconsistent templates, scanned originals, and mixed formats — extracting up to 90% faster than reviewing each contract by hand and linking every value back to its source.

01

Ingest the repository

Load your entire back catalog of agreements — any format, any template, scanned or native — in bulk. eBrevia reads and indexes the full archive.

02

Extract & structure key terms

700+ pre-trained fields pull parties, effective dates, terms, renewal options, notice windows, caps, and obligations into clean, structured metadata.

03

Monitor obligations & renewals

Surface upcoming renewals, expirations, and notice deadlines so nothing auto-renews or lapses unnoticed, and compliance obligations stay on the radar.

04

Connect to your systems

Export structured data to Excel or feed it into your CLM and business systems so the contract record lives where your teams already work.

Capabilities

Everything you need to run the portfolio, not just store it.

Pre-trained extraction, source-linked accuracy, and the structured output that turns a contract repository into a system of record.

Contract digitization

Convert a static archive of PDFs and scans into searchable, structured records — the foundation for every downstream workflow.

Metadata & clause extraction

Pull parties, dates, terms, and 700+ clause-level fields into clean metadata, each value source-linked back to the original document.

Obligation & renewal tracking

Capture renewal options, expirations, and notice windows so obligations and key dates are monitored instead of buried.

Compliance monitoring

Identify and track provisions tied to regulatory frameworks including GDPR, SOX, and HIPAA across the entire portfolio.

Reporting & dashboards

Export structured data to Excel for portfolio reporting, audits, and the dashboards leadership relies on to see risk and renewals at a glance.

Integration

Feed clean, structured contract data into your CLM and business systems so the record stays connected. See eBrevia Connect →

Why eBrevia

AI contract analytics, built for portfolios at scale.

eBrevia is AI contract analytics built on machine learning and natural language processing. Document-agnostic extraction, clause clustering, and duplicate detection deliver a 30–90% reduction in review time as you digitize and maintain your portfolio.

Start with Contract Analyzer

The extraction engine behind your contract data, with 700+ pre-trained fields, source-linked review, and one-click Excel export. Explore Contract Analyzer →

Keep the database current

Route new and amended agreements straight into the repository over email so the record stays live as the portfolio grows. See eBrevia Connect →

Find duplicates and outliers

Clause clustering and duplicate detection clean up a sprawling archive, grouping near-identical agreements and surfacing the contracts that do not fit the standard.

See it on your portfolio

Show us your archive. We’ll show you the database.

Send a sample of your contract repository and we’ll run it through eBrevia — extracting clauses, metadata, obligations, and renewal dates into structured data you can monitor and connect to your systems.

Book a walkthrough