1,000+ Hours Saved for Regional Airline with Axiom Tech+Talent
Axiom tech + talent helped to:
Cut over 1,000 manual review hours for the client's legal team with AI-enabled workflow
Convert thousands of unstructured agreements into clean, usable data for the client’s internal database
*Save client $400,000 due to AI-enabled solution vs law firm equivalent
Challenge
After a large acquisition, a regional airline needed to harmonize the acquired business into its parent operations, which required a clear picture of all contract obligations across the subsidiary. The contract set was large, varied in structure, and needed to be converted into a format compatible with the client’s internal systems.
Approach
Axiom partnered with the client to review nearly 3000 documents across a set of 15-30 different data points. Equipped with Legora, a senior Axiom attorney ran the AI tool across several contract families to pull out info such as lease descriptions, auto-renewal terms, NDA provisions, etc. He then developed custom workflows to upload the outputs into the client’s CMS using a custom data structure and unique set of naming conventions. In addition, Axiom supported a separate workstream in which they reviewed highly complex collective bargaining agreements against one another to compare negotiated terms, and understand which provisions were most favorable during their negotiation process.
Impact
- Experienced Axiom attorney with an AI-enabled workflow cut over 1,000 manual review hours for the client’s legal team
- Converted thousands of unstructured agreements into clean, usable data for client’s internal database, supporting a clearer view of subsidiary obligations and operational synergies.
- By comparing terms across complex collective bargaining agreements, the client’s team could improve their negotiations by evaluating relative favorability across a number of negotiated concepts.
*Cost savings estimates are based on actual Axiom rates compared to equivalent law firm rate averages as listed in Wolters Kluwer’s Real Rate report.
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