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Private EquityCase Study

Mid-Market Private Equity Firm

A mid-market PE firm automated two of its deal team's highest-frequency workflows — NDA redlining and IC memo generation — with AI tools running in its own cloud environment.

Deal documents reviewed in minutes
2
production AI tools delivered in 8 weeks
10 hrs
saved per week across the deal team
Minutes
from inbound CIM to one-page IC summary

The challenge

The firm’s deal team handled a constant flow of inbound NDAs and Confidential Information Memorandums (CIMs). Every NDA required manual review against the firm’s reference positions. Every CIM required an associate to extract and score data against the investment scorecard before the deal could be discussed. Both workflows were repetitive, high-volume, and pulled the team away from actual deal work.

What we built

Two AI automation pilots on shared cloud infrastructure, deployed in the client’s own environment:

  • NDA redlining — a tool that monitors for inbound NDAs, evaluates them against the firm’s reference positions and redline history, and surfaces a structured deviation report to the deal team. The tool also recommends additional redlines outside of the firm’s playbook, catching provisions the team didn’t consider
  • IC memo generation — a tool that monitors for inbound CIMs, extracts and scores relevant data against the firm’s investment scorecard, and produces a formatted one-page summary including market analysis, with model routing based on task type

How we did it

  1. 1

    Discovery and infrastructure

    mapped both workflows, delivered an infrastructure recommendation before any cloud contract was signed, then provisioned the environment (weeks 1-2)

  2. 2

    Build and deploy

    built both pilots in parallel on shared components, tested against real deal documents, validated with the deal team (weeks 3-8)

  3. 3

    Managed service

    Paradox Machines operates the platform on an ongoing basis — monitoring, pipeline health, and configuration updates as reference positions and scorecard criteria evolve

The role of AI

Claude powers both tools inside the firm’s environment. NDAs are checked against the firm’s actual negotiating history, not generic templates. CIMs are scored against the firm’s own investment criteria, so the one-pager reflects how this firm evaluates deals.

The results

  • 10 hours saved per week across the deal team on NDA review and CIM screening
  • Production-ready in 8 weeks — both tools live, documented, and operated under an ongoing managed service

Best fit

PE firms and deal teams drowning in repetitive document review who want AI tools running in their own environment, tuned to their own positions and criteria.

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