The Actual Cost of In-House Artificial Intelligence Adoption - ADR Toolbox

The time, capital and personnel required to get basic AI technologies running in-house underscores why such implementation is limited to legal teams. Because of the heavy lifting and dedicated resources an AI implementation can take up, most early adopters are likely to be large corporations for whom AI can provide the most benefit for its cost. In addition to Cisco, McCarron noted that there are several other "larger behemoth" companies road mapping and implementing AI projects, noting Google's work to bring AI contract solutions from Seal Software into their legal operations as an example. But medium-sized companies like PayPal and eBay "are definitely not doing it" yet, she added, an indication that the resources needed for AI may still be too cost-prohibitive for some. So while the technology is still young and the market still evolving, for now, excitement over AI's ability to greatly modernize the legal industry is likely to be tempered by the reality of getting it up and running.