Contract Review Automation

Review Every Contract Against Your Standards, Not Just the Ones You Have Time For

Extract clauses, compare each agreement against your playbook, and route deviations to the right reviewer — while the documents stay in the repositories you already use.

The agent recommends; your counsel decides. Every deviation is quoted in full so a human is accepting a specific risk, not a summary of one.

  • Fixed scope
  • Measurable ROI
  • Human-in-the-loop
  • Works with your existing stack

Trusted on complex technology delivery

Royal NavyCabinet OfficeSopra SteriaTPX Impact

Does any of this look familiar?

These are the symptoms we see before the numbers get measured.

  • Standard agreements are reviewed line by line for the same handful of terms
  • Low-value contracts skip review entirely because there is no capacity
  • Nobody can answer which agreements contain an uncapped liability
  • Renewal dates live in someone's calendar rather than a system
  • Deviation from the playbook depends on which lawyer picked it up
  • Deal desk waits on legal for terms that are actually standard

What this process costs you today

Before anyone talks about technology, it is worth knowing the number you are trying to beat.

A worked example

Modelled estimate

2 employees × 9 hours/week of repetitive processing = 936 hours/year.

At $65/hour loaded cost

$60,840

annual process cost

If automation removes

60%

of the manual effort

Recoverable capacity

$36,504

per year

Two reviewers on first-pass contract reading, before counting deals delayed waiting on legal.

Now run it on your own volumes

Your current process

Assumptions

  • Fully loaded hourly cost of legal and commercial staff reviewing agreements
  • Rework estimated at 1.5x the original review time per missed deviation
  • Automatable share of 55–70%, reflecting judgement that stays with counsel
  • Payback modelled against a typical single-process implementation investment

Your estimated opportunity

Modelled estimate
Current estimated annual cost
$191,2951.8 FTE of manual effort
Potential automatable effort
5570%
Indicative payback
2 months
Potential annual opportunity
$105,212$133,907
Validate these numbers in a 10-Day Sprint

Directional planning estimate based on your inputs — not a quote or a substitute for finance sign-off.

How we work

  1. 1

    Map

    Sit with the people doing the work and document the process as it actually runs — including the workarounds nobody wrote down.

  2. 2

    Measure

    Establish a baseline: volume, handling time, error and rework rate, and what the process costs you today.

  3. 3

    Build

    Redesign the workflow and build it against your real systems and data — not a mockup or a slide.

  4. 4

    Validate

    Test against edge cases, confirm exception handling and approval gates, and measure the result against the baseline.

  5. 5

    Deploy

    Move into production with monitoring, runbooks and training — or recommend against it if the numbers do not hold up.

Before and after

First-pass review, before and after

Today

  1. Agreement arrives by email
  2. Lawyer reads it end to end
  3. Key terms noted in a spreadsheet
  4. Deviations discussed by email
  5. Renewal date added to a calendar

After

  1. Agreement picked up on arrival
  2. Clauses extracted and compared to your playbook
  3. Deviations graded, with the exact language quoted
  4. Only out-of-policy terms reach counsel
  5. Obligations and renewal dates written back to your systems
Your playbook standard capping liability at 12 months' fees shown beside an agreement leaving it uncapped for data breach, the deviation routed to counsel with a high risk grade
A deviation surfaced against your playbook, with the exact language quoted for counsel.Illustrative diagram

What we automate

  • NDA and MSA first-pass review
  • Vendor and supplier agreements
  • Sales contract deviation checks
  • Renewal and obligation tracking
  • Liability and indemnity screening
  • Data protection clause review

What you receive

  • Your playbook encoded as comparable standard positions
  • Clause extraction schema for the terms you actually track
  • Risk grading against your own thresholds
  • Deviation routing to named reviewers with the language quoted
  • Obligations and renewal dates written back to your repository
  • Accuracy measured on your own agreements before go-live
  • Audit trail of what was reviewed and who accepted each risk

What the numbers say

Every figure is labelled by where it comes from — measured customer results, industry benchmarks, modelled estimates, or commitments we make to you.

Evidence

70%

Faster document review

Industry benchmark

55–70%

Of first-pass review typically automatable

Industry benchmark

100%

Of agreements checked, not just the ones with capacity

Industry benchmark

Industry benchmarks are drawn from published automation research and our own delivery baselines. We will share the specific source and assumptions behind any figure here on request — and during the Assessment we replace them with measurements from your own process.

What we commit to

Counsel

Retains sign-off on every risk acceptance

Delivery commitment

Quoted

Deviations shown in full, never summarised away

Delivery commitment

Technology we build on

We are not tied to one platform. The right tool depends on the workflow, your existing stack, and what you can maintain.

SharePointMicrosoft 365SalesforceGoogle DriveBoxLarge language modelsCIP governanceREST & GraphQL APIs

How we keep it safe

Human approval gates

You decide which decisions an automation may make alone and which require a person. Thresholds are configured to your policy.

Exception handling

Anything ambiguous, incomplete or out of policy routes to a named owner with the reason attached — it does not fail silently.

Audit trail

Every action is logged: what ran, on what input, what it decided, and who approved it. Built for audit and incident review.

Least-privilege access

Automations connect through credentialed, scoped integrations you grant and can revoke. Your systems stay the system of record.

Contract Review Automation FAQs

Test contract review on your own agreements

We measure extraction accuracy against contracts you already have, and tell you plainly how much of the first pass is genuinely automatable.