3. Evaluate AI tools
Posted: Mon Jan 20, 2025 3:47 am
Chris recommends starting from the source, leveraging large language model (LLM) foundations such as Claude, ChatGPT, Google Bard, and Microsoft Bing. Their developers frequently update these base models to expand functionality over time.
Reviewing a platform built on these foundations requires japan b2b leads understanding its underlying language model architecture and flexibility. If vendor platforms do not support ready replacement when improved language models are released, their technology risks becoming obsolete.
For handling sensitive client data under nondisclosure agreements, Chris points to a free, open source tool called LM Studio, which allows you to run LLM locally on your agency's computers without transferring data externally. This native approach meets the strict data protection requirements of industries such as healthcare.
#4: Simplify contract review and creation
Dealing with legal agreements like NDAs and Master Services Agreements (MSA) requires valuable time from your marketing team. AI can help you review agreements and even generate contract language.
Chris recommends using Anthropic’s AI assistant Claude to review incoming NDAs or comprehensive services agreements. Simply upload documents to Claude and ask targeted questions to uncover potential issues, such as:
Does the confidentiality clause adequately protect my interests?
Is the agreement term (e.g. eight years) too long?
Based on the analysis, Claude will flag clauses that may cause problems when you sign. Agencies could quickly strengthen unilateral provisions by instructing Claude to “rewrite Part X to make it more bilateral.”
Reviewing a platform built on these foundations requires japan b2b leads understanding its underlying language model architecture and flexibility. If vendor platforms do not support ready replacement when improved language models are released, their technology risks becoming obsolete.
For handling sensitive client data under nondisclosure agreements, Chris points to a free, open source tool called LM Studio, which allows you to run LLM locally on your agency's computers without transferring data externally. This native approach meets the strict data protection requirements of industries such as healthcare.
#4: Simplify contract review and creation
Dealing with legal agreements like NDAs and Master Services Agreements (MSA) requires valuable time from your marketing team. AI can help you review agreements and even generate contract language.
Chris recommends using Anthropic’s AI assistant Claude to review incoming NDAs or comprehensive services agreements. Simply upload documents to Claude and ask targeted questions to uncover potential issues, such as:
Does the confidentiality clause adequately protect my interests?
Is the agreement term (e.g. eight years) too long?
Based on the analysis, Claude will flag clauses that may cause problems when you sign. Agencies could quickly strengthen unilateral provisions by instructing Claude to “rewrite Part X to make it more bilateral.”