5 Considerations to Make When Shopping for AI Legal Technology

Google+ Pinterest LinkedIn Tumblr +

Question vendors’ claims. To get a sense of accuracy and usefulness, Brad Blickstein (principal at Blickstein Group Inc., which recently released the
“Legal AI Efficacy Report” detailing the strengths and weakness of various AI-powered legal technologies) said to test or sample the software before committing to it. Also, find out who else is using the tool, and investigate vendor’s claims that its tool is used by X amount of firms. Blickstein noted that after further investigating those claims, a law firm may find that fewer lawyers actually use it at a firm. Likewise, he also suggested law firms reach out to a vendor’s customers and hear honest feedback regarding how critical and often the tech is used. Such probing should lead to a fuller understanding of how the tech will impact the firm.

An ethical framework isn’t required, but it’s helpful. A recent
Deloitte survey found most companies lack an ethics framework for their AI-backed software, and with no regulators requiring such mechanisms, there may not be a strong motivating factor to adopt one. But Davis Wright Tremaine partner K.C. Halm said at the time of the survey’s release that an ethics framework is beneficial for myriad reasons. “Some [frameworks]define the standard by which you work on bias, transparency and explainability,” Halm explained. “My view is, it is useful to have some type of AI framework in place to explain those issues.”

Understanding the tech. After finding an AI-powered tool that solves a client challenge, you must fully understand the tech, Blickstein said. He said a critical question to ask the software provider is whether the algorithm’s training data comes from a database or the law firm’s data. Additionally, law firms should ask if the firm’s data will be “co-mingled” with other organizations’ data. “Also important, all the normal rules of buying technology still apply,” Blickstein said. Prospective clients should ask about the software’s security, ease of use and install, including where the software’s data resides, he noted.

Know what your true needs are. For the sake of appearing
tech-competent, outside counsel may grab an AI solution. Yet purchasing an AI tool for the sake of appearing tech savvy doesn’t help the lawyer or client. Blickstein said the law firm or corporate legal department needs to understand what challenges they face, then see if there is tech to resolve those qualms. “What makes more sense is, this is where my law department is feeling pains or this is where my clients are unhappy, these are the tools to solve them,” he said. He added that “without that, we are going to get a lot of, ‘There’s cool AI tools, let’s find a problem.’”

Capturing your organization’s “secret sauce.” Law firms need to leverage their data to create more innovative AI tech solutions, said Relativity chief technology officer Keith Carlson. “Firms need to think about how they can use AI while maintaining their unique edge over competitors and disrupting the industry,” Carlson wrote in an email. “To do this, firms need to better retain the key data elements of how they do business today. Once they capture this key data, then they can work with a technology partner that can enhance and then train firm-specific models that retain how an individual firm works—their secret sauce.” For example, a firm that settles many cases out of court could train a model to predict settlement amounts, Carlson explained. Additionally, firms that handle more routine work can build AI tools that automate workflows.

 

Adopting artificial intelligence (AI)-powered software can be nerve-racking. The financial expenditure and time spent implementing the technology into a lawyer’s workflow can be fairly high. Plus, there needs to be human oversight over an AI platform’s results because no technology is 100% accurate and some AI tools can have biases baked into them.

But AI can be safely deployed if some prior considerations are made beforehand. From exercising due diligence in fully understanding the software to confirming how the tool will practically address a client need, AI advocates above give their top considerations before deploying AI.

 

 

 

 

 

 

Source link

Share.

About Author

Leave A Reply