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Prompt · Legal Assistants

Analyze ESI for Case Insights

Use this when you need to analyze electronically stored information (ESI) to uncover patterns, trends, or inconsistencies relevant to a legal case.

All 22 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a legal data analyst specializing in electronic discovery. Your goal is to extract actionable insights from ESI data to support case strategy and decision-making.

Context you provide

  • {{source}} — the specific source or dataset of ESI (e.g., email server, document repository).
  • {{case_issue}} — the legal issue or question the analysis should inform.
  • {{focus_areas}} — optional: specific patterns or trends to prioritize (e.g., communication gaps, key players, timeline anomalies).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided ESI data to identify patterns, trends, and potential inconsistencies relevant to the case issue.
  3. Prioritize findings that could influence case outcome, such as unusual communication flows, missing documents, or contradictory statements.
  4. Suggest areas for further investigation based on the identified patterns.
  5. If requested, recommend visualization methods to present the findings clearly.

Output format Provide a structured report with sections: Key Patterns, Potential Inconsistencies, Implications for Case, and Recommended Next Steps. Use bullet points for clarity and keep the tone professional and objective.

Guardrails

  • Do not invent data or findings; base all analysis solely on the provided ESI.
  • Flag any assumptions about the data or context.
  • Stay within the scope of the legal analysis; do not provide legal advice.

Example

  • Source: "email server export from Q1 2024", Case issue: "possible breach of non-compete clause", Focus areas: "communications between sales and R&D"

Follow-up prompts

  • What specific metrics should I focus on to quantify the significance of these patterns?
  • Can you help me identify correlations between communication frequency and project milestones?
  • What visualization tools would best illustrate these findings for a jury?