Deriving Real Value from AI in Litigation

Summary: AI in legal is no longer experimental. Here’s where legal teams are seeing real value and what it takes to operationalize it.
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At Legalweek, Lighthouse hosted a panel discussion with leaders from AT&T and Redgrave focused on how AI is actually being used in legal practice today and where it is delivering measurable value.

One theme came through clearly: the conversation has shifted. The question is no longer whether legal teams will use AI. It is where they use it first, how they measure impact, and how effectively they operationalize it across workflows.

Here are the biggest takeaways as you evaluate AI for your matters.
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1. AI’s strongest impact often comes before review even begins

One through line from the session is that AI should not be limited to downstream document review.

Used earlier in the lifecycle of a matter, AI can help teams test allegations, surface key facts, assess exposure, and determine whether a full-scale review is necessary at all. In some cases, this early insight has directly influenced case strategy and avoided large-scale review entirely.
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2. Review remains the clearest place to demonstrate ROI

Document review continues to be the most visible and measurable use case for AI.

Speed and cost savings are easy to quantify. But the broader opportunity is connecting those efficiencies to overall matter outcomes, including reduced outside counsel spend, faster issue identification, and smaller review populations.

The takeaway is straightforward: if ROI is not being measured rigorously, it is likely being underestimated.
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3. AI does not replace legal judgment. It accelerates it

The panel emphasized that strong outcomes still depend on lawyers applying context, validating results, and making strategic decisions.

AI is not a substitute for legal expertise. Its value lies in helping legal teams reach informed judgment faster by surfacing relevant information earlier in the process.

It’s also shifting how legal work is done.

Routine tasks are becoming more efficient, while demand increases for strategic thinking, validation, and oversight. As a result, AI fluency is becoming an important differentiator across legal roles.
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4. Many in-house teams are further ahead than expected

Another important signal is that some corporate legal departments are already operating at a high level of AI maturity.

They are building internal capabilities, integrating AI into existing workflows, and expecting their external partners to complement those efforts. This is changing expectations for outside counsel and service providers alike.
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5. AI is reshaping the law firm–client relationship

As clients become more sophisticated, expectations are evolving.

General statements about using AI are no longer sufficient. Clients increasingly expect partners to understand their level of maturity, align with their workflows, and demonstrate where AI can create specific business or litigation value.
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6. The advantage will come from disciplined experimentation

The panel stressed that AI should not be deployed simply to generate outputs.

Summaries, classifications, and insights only matter if they support a clear legal or business objective. The most effective use cases begin with a defined purpose, not with the technology itself.

Success with AI ultimately depends on how teams approach adoption.

The most effective organizations are testing use cases, measuring outcomes, refining workflows, and building internal expertise. Tools will continue to evolve, but the ability to adapt and operationalize them will define long-term success.

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Learn more about how we help legal teams apply AI across review, early case assessment, and investigations with IQ Answers.