Edited By
Yasmin El-Masri

A team developing an AI application in patent law is on the hunt for Subject Matter Experts (SMEs) to evaluate their work. With limited legal expertise, they seek advice on how to recruit experts without formal hiring processes. As they navigate this challenge, the conversation sparks an interesting debate on effective evaluation methods.
The founders lack a dedicated lawyer on their team and rely on a mentor for guidance. This raises critical questions about the evaluation of large language model outputs. Core to their discussion is whether informal evaluations by SMEs will suffice or if a more structured approach is necessary.
Several strategies emerged from conversations in the community:
Job Postings: One suggestion is to create clear job postings aimed at attracting the right legal talent.
Contracting: Others recommended hiring independent contractors as a flexible way to engage with legal professionals.
Recruitment Services: A user raised the possibility of using specialized recruitment services to gather a group of SMEs without formal hiring complexities.
"Is there any service that could help recruit a group of SMEs?"
Feedback has been a mix of ideas and apprehensions:
Some participants support the idea of job postings and contracting, emphasizing the importance of qualified input.
Others are concerned about the lack of official hiring processes, suggesting it might affect the quality of evaluations.
The conversation also touches on alternative evaluation methods, with a few believing that user feedback may be sufficient.
The tone varies, highlighting a blend of curiosity and caution:
Positive responses advocate for more direct engagement with experts.
Mixed feelings about the informal recruiting methods show the need for careful consideration before moving forward.
โญ Clear job postings can attract qualified SMEs quickly.
๐ Contracting offers flexibility and expertise without long-term commitments.
โ The viability of informal evaluations is still debated among users who seek clarity.
Having a strategy in place is crucial for the team as they push ahead with their AI application. Will they find the right SMEs to ensure quality output? Community insights could be the key to unlocking the right solutions.
Thereโs a strong chance that this team will successfully connect with the right legal professionals in the coming months. As they capitalize on community insights, clear job postings and strategic contracting could attract qualified Subject Matter Experts. Experts estimate around a 60% probability that informal recruiting methods will lead to temporary solutions, but a substantial portion of the community remains skeptical. The tension between formal hiring processes and informal evaluations could either accelerate the applicationโs development or delay it, depending on how effectively the team engages with the legal talent pool.
Consider the early 20th century when astronomers first sought feedback from theoretical physicists to validate their findings on cosmic objects. Lacking formal structures for collaboration, they relied on informal networks, much like todayโs quest for legal SMEs in AI. This partnership led to breakthroughs in astronomy, proving that sometimes genuine insights come from making connections outside one's formal expertise. Just as those pioneers navigated the vast unknowns of space without rigorous recruitment systems, the AI team might find its way forward through similar informal channels.