Legal / Contract Review Live

NDA Analyzer

Review one or more NDAs against a standard clause checklist, with risk levels and the quoted text behind each rating.

About the Agent

Challenges NDA Analyzer addresses

Done by hand, contract review means gathering ndas to review and review settings, working through 3 separate passes over the same material, then producing review note, clause matrix and risks to raise. None of it is difficult and all of it is exacting, which is the combination people are worst at holding. The errors that matter are the ones a tired reader does not notice, and they surface later — in a reconciliation, or in somebody’s reply. It waits until someone remembers it, which is usually the point at which it has become urgent. As volume grows the work does not get harder, only longer, and the first thing to go is the checking.

NDA Analyzer runs that same sequence end to end and returns the result as structured artefacts. What it cannot settle it hands over rather than guesses at, and your correction is kept: it asks “Was this review accurate?” after every run, and those answers become the set it is measured against. Nothing that moves money, alters a contract or reaches a customer executes without human approval, and every action is written to an audit log. The gain is in the volume that no longer has to be read, not in removing the judgement.

How it works

Step 1: Reviewing each agreement

First of 3. It works from ndas to review and review settings and feeds the step after it.

Key Tasks:

  • Working from the extracted values: Figures come from ndas to review and review settings rather than from a re-keyed copy, which removes the transcription step where arithmetic errors usually originate.
  • Applying your rules: Bands, rates and rounding are configuration. The same inputs produce the same figures on every run.
  • Keeping the components: Each total is returned with the parts that produced it, so a figure that looks wrong can be traced rather than recomputed.

Outcome:

  • Figures that reconcile: Figures that reconcile to their own components — the totals shown and the lines above them agree, which is the property that makes a number safe to quote onward.

Step 2: Consolidating the clause matrix

Step 2 of 3. It takes what step 1 produced and hands its result to step 3.

Key Tasks:

  • Working from the run so far: This step takes what step 1 produced and carries it toward step 3.
  • Following the same rules each time: The behaviour is configuration rather than judgement made fresh per run, so contract review is handled the same way every time.
  • Surfacing what it cannot settle: Anything ambiguous is passed on as ambiguous rather than resolved silently.

Outcome:

  • Passed on: The result passes to the next step, with anything unresolved carried forward as an open item rather than dropped.

Step 3: Writing the review note

Last of 3. It takes what step 2 produced and produces review note and clause matrix.

Key Tasks:

  • Writing from the run, not from a template: The text is built from what this run actually found, so two contract review outputs differ where the underlying records differ.
  • Leading with what needs a decision: The exceptions come first and the routine detail follows, because the reader is deciding rather than reading.
  • Staying inside the evidence: Nothing appears in the text that is not supported by a record the run examined. Gaps are stated as gaps.

Outcome:

  • Artefact ready: A finished artefact, traceable line by line to the records behind it, ready for a person to accept or correct.

Step 4: Your review, and what it changes

The run ends with a person, not with a result being filed.

Key Tasks:

  • Asking a specific question: It asks “Was this review accurate?” rather than for a rating. A question about this run is answerable; a score out of five is not.
  • Keeping the correction: What you change is recorded against the case that produced it, so the disagreement is retrievable rather than absorbed.
  • Building the evaluation set: Those cases become what the agent is measured on. It is scored against your judgement rather than against a general benchmark.

Outcome:

  • A measured agent, not an assumed one: The cases NDA Analyzer handles well and the cases it does not are both visible, and the second list is the one that decides what changes. Nothing is retrained silently on the back of a single correction.

Why use NDA Analyzer?

  • Read against your standard position: Clauses are compared to the position you already take rather than to a generic template, so what comes back is the deviations rather than a summary of the document.
  • Takes documents as they arrive: Scanned pages, native files and awkward layouts are read as they are. Nothing has to be renamed, re-keyed or converted into a template before a run.
  • Corrected by the people using it: After each run it asks “Was this review accurate?”. Those answers become the evaluation set, which means it is measured against your judgement rather than ours.
  • Reads and reports, does not act: It returns a result for review rather than writing changes back on its own. Anything that moves money, alters a contract or reaches a customer needs human approval first.
  • Structured results, not prose: All 3 artefacts are structured — review note, clause matrix and risks to raise — so a result can be scanned, sorted and acted on instead of read end to end.

Oversight

Runs under scoped, least-privilege credentials with every action written to an audit log. Anything that moves money, alters a contract or reaches a customer requires human approval before it executes.

Contract Review

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    Draft an agreement from your own clause library, then check it against a completeness checklist and repair anything missing.

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Next Step

Deploy NDA Analyzer, or adapt it

It runs as-is. Most deployments diverge — a different source system, a different tolerance, a different approval path. A 30-minute technical call establishes which.

Book a Technical Call
  • No sales script
  • NDA on request
  • Scoping notes sent within 48 hours
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