Only 33% of Legal Professionals Trust the Results of AI-Assisted Legal Work, Morae Research Finds

This section is Partnership Content suppliedThe content in this section is supplied by GlobeNewswire for the purposes of distributing press releases on behalf of its clients. Postmedia has not reviewed the content. by GlobeNewswire Article contentGlobal survey of 850 senior legal professionals reveals AI challenges stem from flawed implementation, not the technologySign In or Create an AccountEmail AddressContinueor View more offersArticle contentHOUSTON, July 08, 2026 (GLOBE NEWSWIRE) — New research by Morae Global Corporation finds that despite nearly half of all legal organizations embedding AI deeply across their legal processes, a profound trust gap remains.

Only 33% of senior legal professionals trust the results of AI-assisted legal work, while 67% are concerned the cost of human verification is outweighing the productivity benefits of AI. Nearly half are routinely rewriting AI outputs, yet fewer than 1 in 4 feels equipped to evaluate what they might be missing.Article contentWe apologize, but this video has failed to load.

Try refreshing your browser, ortap here to see other videos from our team.Article contentArticle contentThe findings point not to a failure of technology, but to a failure of change management and implementation. The potential of AI is being suppressed by a consistent set of underlying failures: data that is siloed, fragmented and ungoverned; governance frameworks that exist on paper but not in practice; and a verification tax that is quietly consuming the efficiency gains AI was supposed to deliver.

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Browse here.Article content“The legal sector is embracing AI, but effective deployment is facing significant headwinds because the underlying data isn’t optimal. When only 26% of legal leaders feel confident in their information governance, there are inevitably concerns with safety, reliability and trust,” explains Shahzad Bashir, chairman and CEO of Morae.

“The root of the problem isn’t the technology itself. It’s that the industry is deploying powerful tools on a fragmented foundation. To realize the full potential of this transformative technology, we need to reimagine the foundation for AI with unified legal intelligence that integrates AI, data and legal expertise from the start.”

Article contentArticle contentRead the full AI in Legal report 2026 here.Article contentAdopted but Untrusted Article content46% of all organizations now have AI integrated or embedded across legal processes, with a further 31% using it regularly in defined workflows, such as legal research, contract review, and discovery.Only 49% say they feel more positive or confident about AI than 12 months ago, with just 21% saying AI productivity improvements have exceeded expectations.

48% of respondents name poor accuracy and hallucinations as the most significant challenges constraining effective AI use, while security concerns (41%) and fragmented data quality (36%) remain major operational hurdles.Article contentThe AI Verification TaxArticle content67% of senior legal professionals are concerned that the cost of human verification and oversight might outweigh the efficiency benefits provided by AI.89% believe AI-generated legal work should be checked by a human before use.

48% report that humans always or often materially change AI outputs before they can be used.50% of respondents express high concern about potential liability if AI-assisted legal work leads to errors or adverse outcomes, while 62% are extremely or very concerned about the associated reputational risk from AI errors.Advertisement 1This advertisement has not loaded yet.

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2 billion in May Economy Advertisement 2AdvertisementThis advertisement has not loaded yet, but your article continues below.Article contentThe Data Integrity BarrierArticle content80% of legal professionals agree that effective AI use is heavily reliant on high-quality, well-governed data.77% state that poor information quality undermines AI outcomes regardless of the tool’s quality.

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