Gain more visibility of your contractual obligations
Big data, BI, and data-driven decisions are having a profound effect on business operations. Our vision is to accelerate this adoption with software that overcomes the challenge of mining important information from unstructured, text-based legal documents, and making it accessible. Our software and services open new doors for companies to manage risk, ensure regulatory compliance, recover revenue, avoid penalties, and meet customer obligations.
The process of migration starts either from an old contract management system or a repository; or from scratch i.e. from paper documents to a new advanced CLM. Click here to get more insight into the various benefits derived from migration.
The ability to manage your contracts through a process such as this will allow you to leverage the knowledge in your existing contracts, report on the extracted data, even recover hidden revenue (e.g. by policing penalty clauses in your supplier agreements) and comply with current and upcoming regulations.
Unlock the best value for your contracts
Fully utilize data from your documents to drive growth
As a business professional, you would understand the value of data in your contracts for the expansion and growth of your business. You have invested heavily in building company reputation and contributed time and dollars in the enlargement of abstracting data to get key information. But what about the legacy data, if you fail to retrieve the important points out of it or do not adhere consistently, your firm will weaken and eventually fail due to unfulfilled obligations.
Automated Contract Data Abstraction
Empowers Your Departments To:
- Efficiently identify and manage existing contractual commitments.
- Analyze risks, obligations, and opportunities to avoid potential legal disasters.
- Improve compliance with both new and existing contracts. Enhance productivity within your legal, contracts, and procurement departments
- Speed-up fulfillment cycles by getting new contracts completed faster.