AI Is Rewriting Law

The Billable Hour Is Changing

The legal industry is entering one of the most consequential transformations in its history.

For decades, elite law firms operated on a model built around labor intensity. Junior associates spent countless hours reviewing contracts, conducting due diligence, organizing discovery and drafting repetitive documents. Clients accepted massive invoices because legal work was viewed as inherently manual, specialized and time consuming.

Artificial intelligence is beginning to dismantle that assumption.The change is not theoretical anymore. It is operational. AI is already reducing legal costs, compressing timelines and fundamentally changing how lawyers deliver value to clients. In many cases, tasks that once consumed days now take minutes.

This is especially significant in high velocity sectors like securities law, private equity, hedge funds, venture capital and commercial real estate where transaction speed and precision directly impact financial outcomes.

According to Goldman Sachs, artificial intelligence could automate roughly 44 percent of legal tasks within the broader professional services sector.¹ McKinsey estimates generative AI may add between $200 billion and $340 billion annually in productivity gains to legal and professional services industries globally.²

The implications for clients are enormous. Corporate legal departments and investment firms have historically faced staggering legal expenses tied to document review, regulatory compliance, fund formation, lease negotiations and transaction diligence. AI powered platforms are now reducing many of those costs dramatically.

Brent Farese, Co-Founder and CEO of Aline, believes the legal market is approaching a major inflection point. Brent Farese argues that AI is eliminating the parts of legal work that were “pattern matching dressed up as billable hours.” He points specifically to first pass contract review, NDA redlining, diligence and lease review as areas where automation is already reshaping economics.

“Our customers are already cutting 45 minute redlines down to under two,” Farese explains, while also replacing tens of thousands of dollars in outside counsel expenses with software tools accessible to non lawyers.

That efficiency gain matters profoundly in capital markets and investment focused legal work where timing is critical. In private equity and venture capital transactions, lawyers often review hundreds of contracts, side letters, disclosures and governance documents under extreme time pressure.

AI systems trained on legal playbooks can now identify inconsistencies, flag unusual clauses and compare language against precedent databases almost instantly. Large law firms are rapidly embracing this shift.

Allen and Overy became one of the first elite global firms to integrate Harvey AI across its legal operations, giving thousands of attorneys access to generative AI tools designed specifically for legal workflows.³ PwC reports that AI assisted document review can reduce contract analysis time by up to 60 percent while improving consistency and reducing human error.⁴

Even firms traditionally known for conservative adoption cycles are accelerating implementation. A 2024 Thomson Reuters survey found that 82 percent of legal professionals believe AI can be applied directly to legal work while nearly half expect transformational industry impact within five years.⁵

Securities lawyers in particular are seeing major advantages in compliance and regulatory analysis.

Investment advisers, hedge funds and private equity firms operate in increasingly complex regulatory environments shaped by the SEC, FINRA and evolving disclosure requirements. AI systems can rapidly analyze filings, monitor rule changes and compare offering documents against historical enforcement patterns.

This is particularly valuable for fund managers navigating evolving ESG disclosures, cybersecurity regulations and private market reporting obligations. Rather than relying exclusively on teams of junior associates manually reviewing documents, firms can now leverage AI to surface anomalies and identify potential compliance issues far earlier in the process.

The University of Chicago Law School has noted that generative AI may fundamentally alter how transactional law is practiced by reducing information asymmetry and increasing legal accessibility.⁶ Harvard Law School researchers similarly argue that AI will likely transform legal services from a scarcity based model toward a more scalable and integrated advisory framework.⁷

The economic implications extend beyond law firms themselves. Historically, sophisticated legal services were often inaccessible for smaller businesses and emerging fund managers due to cost. AI driven automation is lowering that barrier. Startups can now generate first pass agreements, review contracts and organize diligence processes at a fraction of historical expense.

This democratization of legal infrastructure could materially reshape entrepreneurship and capital formation over the next decade. Yet the transformation is not simply about replacing lawyers. It is about redefining where lawyers create value.

Farese emphasizes that AI is unlikely to replace the judgment layer of legal work anytime soon. Negotiating an acquisition late at night, advising a CEO during a regulatory crisis or navigating high stakes securities enforcement matters still requires human instinct, strategic thinking and interpersonal intelligence. That distinction is critical.

The legal profession has always operated on two levels. One is mechanical execution. The other is judgment under uncertainty. AI excels at the first category. Human lawyers still dominate the second.

David Wilkins, professor at Harvard Law School, has argued that the future elite lawyer will increasingly function as a strategic advisor rather than a pure technician.⁸ In many ways, AI may accelerate that evolution by removing low value repetitive tasks from the legal workflow. This could ultimately improve the profession itself.

For years, burnout among junior associates has been one of the industry's worst kept secrets. Long hours spent reviewing repetitive documents created inefficiencies for firms and exhaustion for employees. AI may reduce some of that burden while allowing lawyers to focus on negotiation, client relationships, strategy and complex problem solving. There are risks, of course.

Legal hallucinations generated by AI systems remain a serious concern. Courts have already sanctioned attorneys for submitting fictitious citations produced by generative AI platforms. Confidentiality, cybersecurity and regulatory oversight also remain unresolved issues.

Major firms are responding cautiously by implementing internal controls, secure private models and human review requirements. Most experts believe the near future of legal AI will be augmentation rather than full automation.

Still, the trajectory is becoming difficult to ignore.

Much like Bloomberg terminals transformed finance and electronic trading reshaped capital markets, AI is beginning to redefine legal infrastructure itself. The firms that adapt quickly may dramatically increase efficiency and profitability. Those that resist could find themselves defending an increasingly outdated business model.

The billable hour is unlikely to disappear entirely. But its dominance may weaken as clients begin demanding outcomes and speed rather than raw labor time. That shift could fundamentally alter the economics of law.

And for industries built on transactions, capital movement and regulatory complexity, including hedge funds, venture capital, real estate and private equity, the firms that best integrate AI into legal operations may gain a significant competitive advantage.

Because in the emerging legal economy, the future may belong not to the lawyers who work the longest hours, but to the ones who use intelligence more efficiently.

Works Cited

1. Goldman Sachs. “The Potentially Large Effects of Artificial Intelligence on Economic Growth.” Goldman Sachs Global Investment Research, 2023, https://www.goldmansachs.com.

2. McKinsey and Company. “The Economic Potential of Generative AI.” McKinsey Global Institute, 2023, https://www.mckinsey.com.

3. Allen and Overy. “Allen and Overy Announces Integration of Harvey AI.” Allen and Overy Press Release, 2023, https://www.allenovery.com.

4. PwC. “How AI Is Transforming Legal Services.” PricewaterhouseCoopers, 2024, https://www.pwc.com.

5. Thomson Reuters. “Future of Professionals Report.” Thomson Reuters Institute, 2024, https://www.thomsonreuters.com.

6. University of Chicago Law School. “Generative AI and the Future of Legal Practice.” University of Chicago, 2024, https://www.law.uchicago.edu.

7. Harvard Law School Center on the Legal Profession. “Artificial Intelligence and Legal Services.” Harvard Law School, 2024, https://clp.law.harvard.edu.

8. Wilkins, David. “The Future of Lawyers in the Age of AI.” Harvard Law School, 2024, https://hls.harvard.edu.