How artificial intelligence is changing the business of law

The rising influence of Artificial Intelligence is reshaping how legal services are delivered and priced, forcing firms to reconsider billing and revenue models. This article compiles key insights and strategic starting points for law firm leaders.

The influence of Artificial Intelligence on professional services, and particularly legal services, is already affecting both delivery and pricing. The article synthesizes work by the Thomson Reuters Institute and positions this piece as a compendium to help law firm leaders start strategic conversations about adapting to an increasingly Artificial Intelligence driven market. It notes that the 2025 Future of Professionals report covers many changes from Artificial Intelligence but did not deeply address business management and pricing implications, an area the institute has examined in depth.

Key insights highlighted include the need for new methods of managing revenue, the rise of non-hourly billing, and the search for efficiencies that demonstrate returns on technology investments. The article argues that traditional cost recovery approaches for new technologies will face client resistance and ethical limits, and that firms must instead explore how advanced tools can create new revenue mechanisms. Experimentation with value-based billing or alternative fee arrangements is recommended because reliance on billable hours could reduce revenues as Artificial Intelligence speeds task completion without necessarily reducing client value.

The piece emphasizes the problem of hidden costs from inefficient workflows, commonly manifesting as write-downs. It cites an industry estimate that the average law firm partner loses roughly 300 hours per year on tasks such as correcting associates’ work or getting up to speed on matters. These losses can accumulate into millions of dollars in forgone revenue. Identifying areas of time and revenue leakage creates opportunities to apply Artificial Intelligence solutions targeted to specific challenges, producing clearer paths to return on investment.

Ultimately the article urges firms to pivot from simply trying to offset technology costs toward capturing and demonstrating the value Artificial Intelligence creates. Firms that resist these market shifts risk becoming dependent on hourly inputs and losing ground to competitors that adopt new pricing models and efficiency-driven approaches. The Thomson Reuters Institute’s ongoing work on pricing Artificial Intelligence driven legal services is offered as a resource for leaders planning strategic adaptation.

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Key large language model papers from October 13 to 18

A roundup of notable large language model research from the third week of October 2025, spanning generative modeling, multimodal embeddings, and evaluation. Highlights include a diffusion transformer built on representation autoencoders and a language-centric scaling law for embeddings.

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