Why Responsible AI Adoption May Define the Next Era of Litigation

To our listeners: Audio issues during this recording impacted its sound quality, but we’re publishing the episode because Nishat’s insights are too valuable not to share.

How Technology and AI Are Rewriting the Litigation Ecosystem

For years, the legal industry has been described as slow to adopt technology. But that familiar criticism misses something more important: law firms operate in an environment where getting it wrong can carry extraordinary consequences. Legal work is built on judgment, confidentiality, credibility, and professional responsibility. That makes technology adoption in law different from that in industries where the downside of experimentation may be lower.

In this episode, Jennifer Simpson Carr speaks with Nishat Mehta, CEO of Lexitas, about how AI and technology-enabled litigation services are changing the litigation ecosystem. Nishat challenges the easy assumption that law firms are simply resistant to change. Instead, he argues that the legal industry is “focused on responsibly adopting technology,” a distinction that should matter to every managing partner, executive committee member, litigation leader, and legal operations professional thinking about the next phase of firm strategy.

Lexitas provides litigation services in four core areas: court reporting, medical records retrieval, service of process, and legal talent. For Nishat, the opportunity is not to replace the human judgment at the center of legal work. It is to examine the litigation process end-to-end, identify where complexity can be broken into smaller parts, and use technology to improve speed, accuracy, usability, and scale.

That distinction is central to the conversation. AI may create new efficiencies, but in litigation, efficiency alone is not enough. Law firm leaders must consider how new tools affect risk, client trust, pricing, staffing, access to justice, and the long-term value of legal judgment.

Why Is Legal Technology Adoption Different From Other Industries?

The legal industry is often compared unfavorably to sectors that adopted technology more quickly. Nishat sees the comparison differently. Retail, for example, was relatively easier to move online because the risks associated with experimentation were more contained. Legal work carries a different risk profile.

As Nishat explains, “this is an industry, rightfully so, that does not want to take on any additional risk than is already in play.” Introducing automation into legal workflows can create real questions around accuracy, privilege, confidentiality, ethics, and professional responsibility. For lawyers and law firms, a technological mistake is not merely operational. It can affect client outcomes, reputational trust, and, in some cases, the ability to practice.

Jennifer underscored that point during the conversation, noting that there are only a few professions where the risk of technology failure can involve “potentially losing the ability to practice” one’s livelihood. That observation reframes the usual narrative. Law firms are not necessarily behind because they are unwilling to change. They are cautious because the stakes are materially different.

For law firm leaders, that means technology strategy must be grounded in responsibility. AI adoption should not be treated as a race to appear innovative. It should be treated as a leadership discipline that balances opportunity with institutional risk.

The firms that succeed will likely be those that can answer practical questions before adopting new tools:

• Does the technology work?
• Can the firm verify its output?
• Does it fit naturally into existing workflows?
• Does it reduce risk rather than introduce it?
• Can attorneys and clients trust the process?

Nishat describes Lexitas’ approach as “intentional innovation.” That means avoiding innovation for its own sake and focusing instead on what can be introduced responsibly, usefully, and in ways that match how lawyers already work.

Why Does Generative AI Feel Like a True Inflection Point?

The legal industry has seen multiple waves of technology hype. LegalZoom, e-discovery, contract analysis, and other tools have all generated headlines, only to settle into more defined roles within the broader legal services ecosystem. Jennifer raised that skepticism directly, asking why this moment may be different from prior mini-cycles of legal tech enthusiasm.

Nishat identified several reasons why this period may represent a real inflection point.

First, corporate clients are facing their own pressure to adopt artificial intelligence. That pressure is flowing downstream to their outside vendors, including law firms. In Nishat’s view, clients are now helping drive law firm adoption in ways that may not have been present during earlier legal technology cycles. The incentive structure has changed. Law firms are not merely being told by technology vendors that AI matters. They are increasingly being pushed by clients to demonstrate that they understand and can use these tools effectively.

Second, generative AI works on text. That matters because the legal industry is fundamentally built around text: pleadings, transcripts, motions, briefs, opinions, contracts, correspondence, records, and analysis. Earlier waves of technology often focused more on numbers and structured data. Generative AI is better aligned with the language-based nature of legal work.

Third, larger firms are beginning to dedicate teams to AI and identify use cases within the firm. That creates competitive pressure. As larger firms build internal capabilities, other firms may need to find more practical, cost-effective ways to keep pace.

The strategic implication is that AI adoption in law is moving from curiosity to client-facing capability. Firms that delay may find themselves behind, not because they failed to chase a trend, but because they failed to respond to a shift in client expectations.

For managing partners and executive committees, this raises a fundamental question: How will the firm evaluate, adopt, govern, and communicate its use of AI in a way that strengthens trust rather than undermines it?

What Does Responsible AI Look Like in Litigation Services?

One of the clearest examples discussed in the episode is AI-generated deposition summaries. Nishat explained that Lexitas approached the tool with usability and verification in mind. Instead of introducing an unfamiliar interface, the company delivered the summary in a format that lawyers already understood: a PDF.

The product adds a short summary to the front of a deposition transcript. But the more important issue is not the format. It is the quality control behind it. Nishat explained that Lexitas uses multiple AI models, asks the same questions, generates multiple summaries, compares them, and asks follow-up questions if differences arise.

That process speaks directly to one of the legal industry’s greatest AI concerns: hallucination. In law, a fabricated or inaccurate answer can create serious consequences. Responsible adoption, therefore, requires systems that test, verify, and challenge AI-generated outputs before those outputs are relied upon.

The deposition summary example also shows why workflow design matters. Lawyers are more likely to adopt tools that reduce friction rather than demand wholesale behavioral change. A five-page summary added to a few-hundred-page deposition transcript is easy to understand. It supports the lawyer’s work without requiring the lawyer to abandon familiar processes.

For litigation leaders, the lesson is that AI adoption should begin with real workflow problems, not abstract promises. The strongest opportunities may be found where AI can make existing work more efficient, easier to navigate, or more scalable while keeping lawyers in control of judgment.

The risk of ignoring this opportunity is not simply inefficiency. Firms may lose ground with clients who expect them to use technology intelligently. They may also miss opportunities to improve responsiveness, reduce administrative burden, and help attorneys focus on higher-value legal analysis.

How Could AI Change Case Volume, Triage, and Access to Justice?

One of Nishat’s most important predictions concerns the potential rise of pro se filings. He expressed concern that tools like ChatGPT may make it easier for individuals to draft documents, file cases, and persuade themselves that a claim is viable. He described the “sycophantic nature” of large language models as a risk because they may affirm a user’s belief that they have a strong case.

That possibility creates a complex tension in access to justice. On one hand, lowering the cost of legal access can be beneficial. More people may be able to understand their rights, prepare documents, and engage with the legal system. On the other hand, if AI makes it too easy to file, courts and litigants may face an increase in weak, poorly grounded, or meritless claims.

For law firms, this could change the volume and character of litigation. If case filings increase significantly, attorneys may need better tools for early assessment. Nishat sees a major opportunity in technology that can help evaluate, triage, and process cases more quickly.

That does not mean replacing lawyers. It means recognizing that scale may exceed the capacity of traditional staffing models. If the number of filings rises and the pace of review accelerates, firms may not be able to respond simply by adding more paralegals or associates. Technology may need to support the initial evaluation of cases, helping attorneys identify which matters require deeper judgment and which can be filtered or assessed more efficiently.

This has direct implications for litigation strategy, staffing, and client service. Firms that build stronger triage capabilities may be better positioned to handle volume, advise clients quickly, manage costs, and focus legal talent where it matters most.

The broader leadership question is whether firms are preparing for a litigation environment in which demand, volume, and complexity may increase simultaneously.

What Happens to the Billable Hour When AI Compresses Legal Work?

The conversation also addressed one of the most difficult questions facing law firm leaders: what happens to the billable hour if AI makes legal work faster?

Nishat does not predict an immediate collapse of the billable hour. He described the legal industry as one that moves at a later-adopter pace and suggested that a shift away from the billable hour, if it occurs, may be a long-term transition rather than a near-term disruption. He said he does not expect the billable hour to disappear “next year,” or even in the next three to five years.

Still, AI may put pressure on the underlying economics of legal work. If technology allows one attorney to handle more cases or complete certain tasks faster, law firms may need to reconsider how they define value. Clients may also begin to ask different questions about what they are paying for: time, outcome, access, insight, judgment, or some combination of those things.

Nishat offered one possible future model: an AI system that represents the work product of outside counsel. In that scenario, a client might receive not only a memo or summary, but also access to a chatbot trained or structured around the documents and analysis that outside counsel reviewed. The client could ask follow-up questions without having to go back to the attorney for every issue.

That vision does not eliminate lawyers. It changes how their work may be packaged, accessed, and priced. The legal deliverable could become more interactive. The attorney’s judgment could be embedded into a broader tool or knowledge environment. The commercial model may then evolve around access, queries, outcomes, or other value-based structures.

For law firm leaders, the strategic issue is not whether the billable hour ends tomorrow. It is whether the firm is preparing for a world in which clients evaluate legal value differently.

What Will Successful Firms Need to Do Over the Next Three to Five Years?

When asked what success would look like for the industry, Nishat returned to first principles: access to justice. In his view, the goal is not technology for its own sake. The goal is to improve the system so that more parties can access legal support, cases can be evaluated more effectively, attorneys can focus on harder questions, and commercial models can sustain the work.

That vision requires firms to separate what requires specialized legal judgment from what can be supported by generalist technology. AI may help with drafting, summarizing, triage, and information retrieval. Attorneys will still be needed for strategy, advocacy, ethical judgment, negotiation, client counseling, and the hard questions that define legal representation.

This is where leadership matters. Firms will need to make deliberate decisions about governance, staffing, training, client communication, and vendor selection. They will need to determine where AI fits into their practices and where human judgment must remain primary. They will also need to communicate those decisions clearly to clients and internal stakeholders.

The firms that succeed will not necessarily be the ones that adopt the most tools. They will be the ones who adopt the right tools responsibly, integrate them into real workflows, and use them to strengthen client service.

The Takeaway for Law Firm Leaders

This episode argues that AI adoption in litigation is no longer an abstract technology conversation. It is a leadership issue tied to client expectations, operational scale, risk management, pricing, access to justice, and the future role of legal judgment.

The most effective law firms will likely approach AI with neither fear nor hype. They will evaluate it as a strategic capability; one that must be tested, governed, explained, and aligned with the firm’s responsibilities to clients.

For managing partners, litigation leaders, and executive committees, the central question is whether each firm has the leadership discipline to adopt it responsibly.

Resources

• Nishat Mehta, CEO, Lexitas: linkedin.com/in/nishatmehta
• Lexitas: https://www.lexitaslegal.com/
• LegalWeek: https://www.event.law.com/legalweek/2026
• Why Law Firm Leadership Starts With Trust, Self-Awareness and Influence, On Record PR: https://www.furiarubel.com/podcasts/why-law-firm-leadership-starts-with-trust-self-awareness-and-influence/
• AI, Value, and the Hard Conversations Law Firms Can’t Avoid, On Record PR: https://www.furiarubel.com/podcasts/ai-value-and-the-hard-conversations-law-firms-cant-avoid/
• Why Law Firm Transformation Is No Longer Optional and What It Means for Law Firm Leaders, On Record PR: https://www.furiarubel.com/podcasts/why-law-firm-transformation-is-no-longer-optional-and-what-it-means-for-law-firm-leaders/
• The Billable Hour Debate Is Over: What Law Firm Leaders Must Decide Now, On Record PR: https://www.furiarubel.com/podcasts/the-billable-hour-debate-is-over-what-law-firm-leaders-must-decide-now/