How to choose the right AI vendor for legal tech

How to choose the right AI vendor for legal tech

When it comes to adopting AI-powered tools, excitement often precedes caution. Demos are slick, sales pitches are polished, and expectations run high. But many firms find themselves disillusioned when promised features don’t materialise or when the tool proves too complex to use. Worse still, some discover that the outputs are fundamentally flawed, plagued by hallucinations that make the software unusable.

Zeidler Group, a law firm with deep roots in investment funds law, has seen these scenarios firsthand. In addition to providing legal services, the firm develops and delivers AI tools designed to streamline legal and regulatory workflows. Drawing on their experience with numerous AI providers, the team has developed a set of core principles to help evaluate vendors more effectively.

With this knowledge, Zeidler recently offered guidance on how to pick AI-powered vendors wisely.

One of the key considerations is a company’s track record, it said. A history of success and a long-standing presence in the market are signs of sustainability and stability. As Zeidler Group points out, if a vendor significantly alters your workflows and then disappears due to a failed business model, it can leave a lasting negative impact. Their own commitment to longevity is reflected in their AI development process, which always includes a lawyer in the loop to ensure professional standards are upheld.

Client testimonials also offer valuable insights. Zeidler Group urges businesses to look beyond brand-name logos and seek feedback from actual users. The ability to speak directly with current clients is a strong indicator of transparency and performance. At Zeidler, this openness is reflected in their own client relationships, built on authenticity and real-world results.

Another area of scrutiny is how the vendor first came to your attention. Cold outreach or flashy advertising doesn’t automatically disqualify a product, but Zeidler stresses the importance of backing these encounters with secondary research. In their own approach, the group leans heavily on referrals, credible publications, and tailored industry communications rather than generic marketing.

Finally, the leadership team behind an AI product can be a strong indicator of its potential. Zeidler advises assessing whether founders have domain expertise and a history of delivering successful products. Vendors that jump rapidly between trending technologies may lack the focus or maturity required to support long-term partnerships. Zeidler itself is led by professionals with deep legal expertise, ensuring that its AI offerings are purpose-built rather than opportunistic.

Choosing the right AI vendor requires more than technical evaluation. It’s about identifying sustainable, credible, and committed partners.

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