Find risks and patterns faster with Chat to Tables

Chat to Tables ensures users can have natural language conversations with the information in their Robin Tables. Instead of scrolling through a large Table of data, users can converse with their Table to surface the most relevant information.

After building a Table that runs prompts across multiple documents, users can interrogate the results through conversational queries rather than manually reviewing every cell. This is particularly valuable for large-scale analysis where Tables may contain dozens of topics and hundreds of contracts. Instead of scrolling through the entire Table to identify patterns, outliers, or specific risk factors, legal teams can simply ask questions like "Which contracts have the highest liability exposure?" or "What percentage of agreements contain automatic renewal clauses?". The AI reads the table data and provides synthesised answers, rankings, statistical breakdowns, and risk assessments, dramatically accelerating the analysis phase of due diligence, compliance reviews, or portfolio assessments.

Steps to Chat to Tables

1. Build and run a Table - for more information: https://robinai.com/news-and-resources/robin-university/tables-turn-contracts-into-structured-insights.
2. Verify the AI generated answers of your Table.
3. From the completed Table, click ‘Chat to Table’ and begin your conversation.

Sample Prompts

Executive Overview

Users who need to provide senior stakeholders with a high-level summary of a specific contract portfolio without requiring them to review the full table. Ensuring broader visibility into patterns, outliers, and actionable priorities.

I want to write an executive summary for senior stakeholders and I need the following information from this contract portfolio: (1) total number of contracts analysed, (2) the 3-4 most high-risk positions, (3) identification of the top 5 highest-risk contracts with specific concerns for each, (4) notable patterns or trends(e.g., terms varying by counterparty size or jurisdiction), and (5) recommended priority actions for the legal team. Present this in a format suitable for senior leadership review.

Identify High-Risk Contracts (Risk-Based Prioritisation)

From a large table of contracts, users may need to identify which agreements require immediate detailed review based on key risk factors. Leverage Chat to Tables to surface contracts which pose the greatest risk and ensure your team focus on contracts that matter.

Analyse this table and identify the 10 highest-risk contracts for [company] which the legal team must analyse. Consider: (1) prioritising high-risk contracts which also have contract values above [contract value], (2) number of flagged positions that deviate from [company] desired terms, (3) presence of [unlimited liability or unfavourable liability caps], (4) problematic [termination or change of control] provisions, and (5) missing key protective clauses. For each high-risk contract, provide its name, overall risk rating (Critical/High/Medium), the specific risk factors present, and which provisions require priority review.

Focus on Specific Topics or Positions

Chat to Tables can ensure you analyse specific positions across a portfolio of documents to understand level of risk and trends.

Focus on the [limitation of liability / indemnification / termination rights / data breach notification] provisions in this table. Summarise: (1) what the most common position is across these contracts, (2) which contracts contain terms that deviate from this standard position, (3) identify the 3 contracts with the most problematic versions of this provision, and (4) note any patterns in when these deviations appear (e.g., by counterparty type, jurisdiction, or deal size).

Statistical Analysis (Portfolio Metrics)

Receive quantitative data on frequency of provision appearances, rate of deviations, and favourability for one party or another.

Provide statistical analysis of this contract portfolio including: (1) what percentage of contracts contain [automatic renewal clauses / liability caps above £X / termination notice periods under 60 days / unlimited indemnification obligations], (2) what percentage of contracts have been flagged on [position], (3) the range of values for [liability caps / contract terms / notice periods] from lowest to highest, (4) identification of statistical outliers that fall significantly outside the normal range.

Tips for Effective Chat to Tables Usage

Before You Chat:

• Maintain a human in the loop approach to ensure the answers in your Table are accurate.
• Ensure your table includes all relevant columns for the analysis you want (you can't ask about data that wasn't extracted).

When Prompting:

• Reference specific column names from your table when relevant.
• Define what "high risk" or "problematic" means for your specific context.
• Ask for specific outputs (tables, lists, rankings) rather than open-ended responses.
• Start broad with prompts for general summaries, then drill down with prompts about a specific topic or set of contracts.

After Initial Response:

• Follow-up questions for refinement and clarifications: "Focus specifically on the top 3 contracts from that analysis"
• Cross-reference: "How do those findings compare to our position of [company position]?"