case study

Cognia Law Leverages Kira for Major Contract Migration Project

Industry
Legal Services
Location
South Africa
Use Case
Contract Metadata Extraction
Client Type
Pharmaceutical

Quick Facts

Cognia Law (Cognia) continues redefining the delivery of legal services including the way contract life-cycle management can be streamlined by combining artificial intelligence (AI) technology and expert service delivery with a team based offshore in South Africa.

Cognia leveraged Kira Systems’ machine learning contract review software, Kira, to support their international pharmaceutical client’s (Clinigen Group) implementation of a contract lifecycle management (CLM) system, which included the review of approximately 2,000 legacy contracts.

Cognia was selected as a finalist in the African Legal Awards – Innovation Award (In‑House Project) category for this project

Key Outcomes

Contracts icon

~ 2,000

legacy contracts reviewed during implementation

Less time icon

40%

LESS time to complete a review with Kira compared to a manual review

Accuracy icon

90%

accuracy delivered by machine learning models

Results: A Contract Lifecycle Management Solution

Cognia’s highly-qualified legal professionals combined their practice-specific expertise with a solid project management methodology and access to Kira’s machine learning technology to speed up the implementation of a contract lifecycle management system for Clinigen Group.

Using a combination of Kira’s built-in provision models and the Quick Study function for the unique provision requirements, Cognia was able to quickly and easily identify and extract the required contract data for the CLM migration process.

The contract review took 40% less time than a manual review and the machine learning models delivered 90% accuracy.

Cognia, leveraging the power of Kira’s machine learning software, provided their client with significant time and money savings; and were able to cost-effectively manage deliverables while meeting aggressive deadlines.

Finding & Extracting the right data for a CLM

Cognia’s client, Clinigen Group, an international pharmaceutical group, sourced Cognia to aid in their large corporate restructure and implementation of a CLM system. Cognia tailored an innovative solution for their client that combined the benefits of legal service outsourcing with the ingenuity and versatility of Kira, a machine-learning contract analysis and review software.

The implementation of a bespoke CLM included the review of approximately 2,000 legacy contracts. Migrating data from large volumes of legacy contracts into CLM platforms can be a large process for any legal team. Typically, migration of contractual data to a CLM platform involves the review and abstraction of key contractual terms such as parties, termination, renewal, contract value, among others. Tracking additional terms for financial, delivery and compliance obligations may exponentially increase the scope for review. Without the combined assistance of technology and highly trained, expert resources, this can be a time-consuming and expensive project for any corporation.

Clinigen Group’s goal was to have all their contracts, with summarised key terms, stored in a central location. This allows ease of access across multiple corporate sites, to gain meaningful insights into their contracts, and take proactive action for renewals - resulting in efficient contract management and service delivery.

Leveraging AI Technology to Efficiently and Easily Implement a CLM

Using a combination of Kira’s built in provision models and the Quick Study function, for the unique provision requirements, Cognia’s team of reviewers were able to quickly and easily identify and extract the required contract provisions into Excel format. Kira allowed for immediate identification duplicates within the contract data set and its built in OCR tool digitised contracts for ease of review. Further analysis was performed on the extracted information before being uploaded to the client’s CLM.

Cognia was able to quickly and easily review contracts for additional information requirements which were identified much later by the client, thereby exceeding client expectations and adding value through the use of legal technology.

Delivering Significant Savings to the Client Through Technology

By using Kira, the project was a great success in that it was both delivered significantly ahead of time and under budget. Cognia’s use of a skilled team of legal professionals, coupled with Kira technology to expedite the contract extraction, resulted in significant savings for Clinigen Group.

Cognia’s initial pricing assumptions proposed one hour per contract, but by using the Kira technology to improve efficiency, there was a time savings of 40% per contract, which expedited completion and resulted in cost savings.

Key outcomes and benefits are as follows:

  • The contract analysis took 40% less time to complete than a traditional review.
  • Kira’s models exceeded 90% accuracy, compared to the 65% accuracy typically achieved in a traditional review, meaning a higher quality product for our client was delivered.
  • All key stakeholders, including the client, had live and constant access to the contracts and relevant extracted informationon Kira’s secure cloud-based platform, meaning there was greater visibility and functionality for all throughout the entire process.
  • By blending Cognia’s project management methodology, best-of-breed AI and high-quality South African legal professionals, we are saving the client time and money; meaning that they are able to cost-effectively manage their deliverables and meet their deadlines.
  • Cognia was selected as a finalist in the African Legal Awards – Innovation Award (In‑House Project) category for this Project, showing that innovative solutions are becoming more accessible and known to the legal services market.

See how Kira can help with your Contract Metadata Extraction:

Learn more

View more resources:

Integreon leverages Kira to help a global ride-sharing company reduce overall contract review time by 40%
Read the case study
Contract Metadata Extraction
This site uses cookies. By continuing to browse this site you are agreeing to our use of cookies.