Legal & Risk
NDA triage and standard-term approval
Automatically assess inbound NDAs against a pre-approved position, approve those that match, and escalate only the ones with material deviations, with the deviations highlighted.
60–80%
reduction in NDA turnaround time
Use case assessment
Minor improvement. Small efficiency gain with limited effect on overall turnover or bottom line.
Relatively straightforward. Off-the-shelf tools handle the core task. Implementation is well-understood with good examples to follow.
Light data requirements. Uses straightforward inputs — documents, product descriptions, customer records — that are usually accessible with minimal prep.
Moderate risk. Some customer or external exposure. Errors create rework or reputational impact but are recoverable.
Light people impact. A new tool slots into an existing workflow. Minimal training needed. Most people will adapt quickly.
Tooling required
Things to consider
NDAs are the ideal first legal automation: high volume, low variation, and a delay that irritates the business without protecting anyone. They are also low enough stakes that an occasional escalation costs nothing.
Define the auto-approve envelope narrowly and in writing — term length, governing law, mutuality, carve-outs. Anything outside it escalates, no exceptions and no partial judgment.
Keep an audit trail of every auto-approval with the version of the policy applied. If a dispute arises you need to show what rule was in force on that date.
Experiment starter: Run three months of past NDAs through the check in shadow mode. Measure what proportion would have been auto-approved and have a lawyer confirm each of those was genuinely within policy.
Go deeper in the playbook
Section — Opportunity Identification, including the AI Opportunity Assessment ScorecardSection — The Tooling LandscapeThis is an automation opportunity — see the relevant playbook section for how to approach it.More in Legal & Risk
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