Robin AI launched Contract Copilot a few months ago and we’ve been delighted to learn how users are finding answers and information faster with their dedicated AI assistant.
The whole world has been on a steep learning curve over the last 6 months to best understand the ways in which to interact with large language model (LLM) interfaces like our Copilot, Robin.
Before we dive into some of our top tips and tricks, it’s important to acknowledge that Robin AI’s Contract Copilot has unique capabilities.
Benefits of using our Contract Copilot
A much larger context window so that Robin can provide answers based on a whole legal contract (even something that is 100 pages or more!)
The ability to surface direct information and clauses from the contract to help pinpoint the areas that you might need to consider or investigate further
Help with simplifying the complex language that often appears in contracts so that all members of your team can understand key information quickly
Assistance with day-to-day tasks like preparing summary emails for the executive team about specific contracts or even to help explain particular clauses in plain english for your colleagues.
Guide to using Robin AI’s Contract Copilot
We’ve put together a guide to help you to get the most from using our Contract Copilot. Here are the top tips and tricks from our team:
1. How you ask questions can impact the quality of the answers that you get.
LLMs are sophisticated, but you might have found that sometimes answers are lacking in substance. This could be to do with how you have phrased a question. There are lots of ways that you can improve the types of answers that you get from our Contract Copilot.
Here are some suggestions:
Explain in plain english [insert clause number]
What are my [right / obligations] in [clause / contract]
Does this [clause / contract] contain [insert terms]
What happens if [insert event]
Can I [insert scenario]
What does [insert clause number] mean
Can you summarise [insert terms]
Draft an email to [insert request and audience]
2. There are lots of use cases for our Contract Copilot at different stages of the contract lifecycle
Explaining and translating terms in a template
Suggesting amendments to templates
Explaining and translating terms and previous markups in a contract
Suggesting off-playbook edits based on natural language criteria
Answering natural language questions about individual or specific sets of documents to find information buried in contracts, compare clauses and variations, and more.
3. Learning how to ask the best questions sets you up for success in the future
Generative AI is making big leaps and it’s anticipated that the quality and accuracy of results will improve rapidly over time. To future-proof your knowledge, these are the best ways to make sure that you’re staying ahead of the competition:
Use responsible, safe platforms like Robin AI to understand more about the capabilities.