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AI Helps Lawyers Focus on Outcomes, Not Hours


— October 2, 2024

The answer lies in value-based billing, a model that can maintain profitability, allow attorneys to take on more clients and help them deliver better service.


The average full-time job without sick days or vacation time amounts to 2,080 hours a year. For attorneys, that number is between 2,400 and 3,400, in part because they must hit a billable hours goal and accomplish administrative tasks.  

Lawyers spend close to six hours daily on non-billable work, one-third of which goes toward business development. This reality exposes the cracks in the traditional billable hour model. It’s a system that rewards time spent, not value delivered — and it’s pushing attorneys to the brink.

But advancements in artificial intelligence can and will disrupt traditional billable hour models. As AI-powered legal tech gains traction, it’s not just changing how lawyers work — it’s challenging the very foundation of law firm economics. With 73% of lawyers planning to use generative AI in their legal work within the next year, this technology promises to slash the time required for many tasks. 

However, an important question comes to mind: In a world where AI can do in minutes what once took hours, what becomes of the billable hour?

Embracing value-based billing in the AI era

What does the shift away from the billable hours model to value-based billing mean for law firms and their clients? Instead of focusing on time spent, value-based billing emphasizes outcomes, aligning the interests of lawyers and clients by rewarding efficiency and effectiveness. For example, a complex contract negotiation might be billed based on the deal’s value or the potential risk mitigated rather than the hours spent drafting and revising.

AI-powered tools are the key enablers of this transition. They can process and analyze thousands of documents and summarize important points in a fraction of the time it would take a human. These efficiencies allow lawyers to focus on high-value tasks like strategy development, client counseling and complex negotiations — work that truly justifies premium fees.

This model is also beneficial for clients, especially because of its predictable and transparent billing. This approach offers clarity on costs upfront and ties fees to tangible results, contributing to increased client satisfaction and stronger long-term client relationships. It’s a win-win situation. Clients can appropriately budget for legal costs, and lawyers are incentivized to work smarter, not harder.

However, implementing value-based billing requires careful planning. Law firms need to accurately track time to understand the true cost and value of different types of legal work. This data informs the development of pricing models, such as tiered or fixed-fee structures for common services. 

Education on the benefits of value-based billing is critical to gaining client and employee buy-in. Helping clients understand how this approach aligns with their interests can pave the way for smoother transitions and stronger partnerships. Appropriate training also ensures all team members understand and can articulate the value proposition of this billing model.

Embracing this value-based billing isn’t solely about adapting to technology. The point is to reimagine the nature of legal services to increase swiftness, profitability and client satisfaction without burning out attorneys. In this new paradigm, AI becomes a tool for empowerment rather than a threat to billable hours, allowing the legal profession to evolve in a way that benefits all stakeholders.

The role of AI in law practices

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Photo by Sora Shimazaki from Pexels

AI is revolutionizing key areas of legal work, supporting the shift to value-based billing in:

Back office operations

From financial management and client intake to document organization and marketing analytics, AI-powered tools can handle a wide array of non-billable work that traditionally consumes lawyers’ valuable time.

Document drafting

AI tools can support law firm operations by drafting correspondence and legal documents, taking away the dreaded blank page. Some tools will even do this in the context of the matter being worked on.

Document review 

AI-powered software can analyze thousands of documents rapidly, identifying key clauses and potential issues. This accelerates the review process, reduces human error and allows attorneys to focus on strategic analysis.

Legal research 

Advanced algorithms can quickly sift through vast databases of case law, statutes and legal articles, identifying relevant precedents in minutes. This capability amplifies lawyers’ expertise, enabling them to quickly build more comprehensive legal strategies.

Contract analysis

Machine learning algorithms can review contracts at lightning speed, flagging non-standard clauses and potential risks. This enhances the quality of the final product, providing added value to clients.

To be clear, AI implementation won’t replace attorneys because the practice of law fundamentally relies on human judgment, empathy and complex reasoning that AI cannot replicate. This technology is meant to augment legal professionals’ capabilities by automating routine tasks. AI can drastically free up time to focus on complex, high-level work that truly requires human expertise. And value-based billing models emphasize outcomes over hours spent.

AI in law will help redefine the essence of legal value, with an overwhelming majority (90%) of legal professionals eager to try this technology. It’s time to start thinking about how your firm will harness AI to deliver innovative solutions that change the boundaries of legal expertise and client empowerment before you lose out to the competitors who do.

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