How to Outcompete Your Client’s AI
Alturas Capital Partners cut hundreds of thousands in outside counsel spend by moving lease work in-house with generative AI — a real deployment showing how enterprise buyers are reshaping their professional-services footprint.
Why it matters
In-house legal teams are using generative AI to displace outside counsel on routine work like lease analysis, compressing timelines and cutting costs. This is a concrete workplace deployment case study showing how AI is reshaping the professional-services supply chain and staffing models — a pattern likely to spread across corporate functions.
The key facts
9 to knowAlturas Capital Partners moved lease work from outside counsel to in-house team using generative AI
Savings claimed: hundreds of thousands of dollars
Outcome: compressed lease analysis timelines and reduced outside counsel dependence
Source: MIT Sloan Review case study
No pricing, consumption metrics, or AI platform named
Savings quantified as 'hundreds of thousands of dollars'—specific dollar impact not disclosed
Work previously 'stalled' is now compressed in timeline
Real estate investment firm deployment (specific industry context)
In-house legal teams are the new job category at risk, not displacement of lawyers entirely
Go to the source
MIT Sloan Management Reviewsloanreview.mit.edu
Publisher excerpt: Andy Carter/Ikon Images The in-house lawyers at real estate investment firm Alturas Capital Partners used to rely on outside counsel for much of its lease work. Thanks to generative AI, it can now do that work internally, saving the firm hundreds of thousands of dollars in spending and compressing…