Is Your Law Firm Invested In Your Success Or Has It Been Outsourced to AI?

AI has made remarkable advances in intellectual property, particularly in patent work. Tasks that were once impractical are now routine. But in the patent space, AI adoption is being driven less by strategy and more by cost pressure and firm economics.

Companies have historically under-invested in patent procurement while readily funding litigation — often because weak procurement later creates expensive disputes.  At the same time, companies are consolidating IP work into larger firms to achieve economies of scale, while firms adopt AI in response to client demands for lower costs. Large law firms, meanwhile, are under constant pressure to increase profits per partner. AI is being positioned as the universal answer: a way to do more with less.

But AI will remain, at least for the foreseeable future, a tool — not a substitute for judgment. And in many cases, it may do more harm than good if it replaces human strategic oversight.

Why AI Adoption is Accelerating
Three forces appear to be driving AI implementation in patent practice:

• Client cost pressure: Companies are consolidating portfolios and case management with large firms that promise scale and efficient one-stop shopping.
• Law firm economics: Firms are looking to increase productivity while maintaining high profits per partner, and AI is seen as a lever to reduce effort per matter.
• Ancillary service models: Some firms use IP as a loss leader to attract startup clients with bundled offerings—patent filings (which can now be quickly produced using AI), introductions to investors, and other services packaged together.

There probably is no question that AI can improve productivity in this environment.  It certainly can help draft applications, identify prior art, and streamline prosecution. But the question is not whether it reduces cost—it is whether it improves outcomes.

The Core Issue: AI Does Not Understand Strategy

Two observations in many ways caption the underlying issues from opposite perspectives:

• The first, was expressed by a corporate executive who said in so many words— I can quickly tell which attorneys have our company’s interest in mind- The ones who have read the 10-Ks and 10-Qs.
• The second, is the understanding by skilled IP counsel that you prosecute a portfolio, not a patent.

Together, these reflect a basic truth: patent work is not about individual filings—it is about aligning an entire portfolio with business strategy.

AI does not do that. It does not understand competitive positioning, product direction, or risk tolerance. It can to a degree suggest invention narratives, draft claims, and suggest prosecution tactics, but it cannot ensure those patents serve a coherent strategic purpose.

The Hidden Risk in Large Firms + AI models
This disconnect may well become more dangerous when IP work is centralized in large firms:

• A single firm may manage a sprawling portfolio across multiple business units.
• The responsibility for understanding the client’s evolving strategy often falls to junior attorneys.
• Relationship partners may provide oversight, but they are rarely deeply engaged without significant billing implications.
• As a result, strategic context gets filtered down to less experienced associates who are also under pressure to manage hours and efficiency.

Even if the system works as intended, someone is paying for that strategic alignment… Somewhere it is buried in the bill. In firms where billable hours drive decision-making, strategic work that is not directly billable is often de-prioritized and that means real strategic portfolio decision making either does not get the needed attention or it does not get done at all.

AI does not fix this problem — it can worsen it by creating the illusion that strategy is being handled, when in reality no one is actively considering the issues.

The “False Precision” Problem
AI-assisted prosecution may also introduce subtle but serious risks, for example:

• Suggesting claim amendments that solve a rejection but create larger portfolio problems (e.g., causing double patenting issues that can reduce the value of a portfolio).
• Optimizing for allowance rather than long-term portfolio value (e.g., exclusion of competitors from disclosed variations around the commercial embodiment(s)).
• Failing to distinguish between patentable (and perhaps even technically interesting) ideas and commercially viable ones.
• Understanding the regulatory hurdles to implementation that prohibit or preclude effective commercialization.
• Recognizing industry standards and upcoming changes to standards that can alter the commercial value of IP.

These are not fringe examples— they are core to patent strategy and require judgment that is not provided by AI.

The danger is that AI creates confidence without accountability. Firms may assume the system is aligning filings with strategy, when in fact it is optimizing for local efficiency.

The Bottom Line
AI can reduce cost and improve throughput. But it does not ensure that the right patents are being filed, or that the portfolio supports the company’s actual business direction.  AI does not provide strategy which marries the technical/legal/business triad which is necessary for a comprehensive and commercially successful portfolio.

And for those in corporate positions responsible for engaging outside counsel — Despite promises of cost savings in your agreements with large law firms their rates continue to rise year after year. That 10% discount you negotiated on ever inflating rates is not necessarily a reduction—it is often just a smaller increase.

So Ask Yourself:
Is your law firm truly invested in your success, or have they handed that role to AI to give you short-term savings?

Does it matter if most of the attorneys in the firm you hire are from top-ten law schools and were on law review if none of them are looking in the direction your company is actually going?  AI is unlikely to help, and will almost certainly detract from, proactive client focus in law firms that prioritize scale and billable hours.

In the long run, isn’t the more valuable relationship with a firm, no matter what its size, that understands your business, engages with your strategy, and has attorneys who are willing to invest the time to get it right?

And if your portfolio is full of dead wood and needs pruning, will an AI tool fix that?  Not likely, that is a strategic decision only you—and your advisors—can make…