The Law Firm Leverages AI for Major Contract Migration Project
V G • Oct 04,2024
Summary:
By combining AI-driven technology with their legal expertise, the company was able to deliver a high-quality, cost-effective solution that met their client’s needs and set a new benchmark for contract migration efficiency.
Client:
Cognia Law, a global provider of legal services, specializes in helping law firms and in-house legal teams streamline their operations and reduce costs through innovative legal solutions.
Problem Statement:
Faced with a growing demand for high-volume contract review and migration services, Cognia sought to enhance the efficiency and accuracy of their process to meet client needs while maintaining a high standard of quality.
Results:
- Ability to lower the overall project cost, offering the client significant savings.
- Time savings of 40% per contract.
- Exceeded 90% accuracy, compared to the 65% accuracy typically achieved in a traditional review.
- Delivered a higher quality product for a client.
- Greater visibility and functionality for all throughout the entire process.
AI Solution Overview:
Cognia utilized Kira Systems’ machine learning-powered contract review tool, Kira, to assist their global pharmaceutical client, Clinigen Group, in the implementation of a contract lifecycle management (CLM) system. This involved reviewing around 2,000 legacy contracts.
Cognia’s skilled legal team combined their specialized knowledge with a well-structured project management approach and Kira’s AI technology to accelerate the CLM implementation process for Clinigen Group.
By leveraging Kira’s pre-configured provision models and its Quick Study feature for custom provisions, Cognia swiftly and accurately identified and extracted the necessary contract data, facilitating a seamless CLM migration.
References:
- Cognia Law Leverages Kira for Major Contract Migration Project. https://kirasystems.com/resources/case-studies/cognia-law/
Industry: Legal Services
Vendor: Kira Systems
Client: Cognia Law
Publication Date: 2024
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