Contract review eats up to 70% of a lawyer's time: a single document takes 2-3 hours. We rolled out an AI solution for one of our clients and cut review time to 15 minutes, with annual savings of $155,000. Below is the case, complete with a ready calculation and a step-by-step rollout plan.
The problem: lawyers drowning in contracts while the business loses money
In any company working with counterparties, contract review is a routine that eats up to 70% of a lawyer's working time. A standard supply, services or lease agreement needs to be checked for tax risks, penalties, non-standard wording and compliance with internal policies. A single document takes 2-3 hours on average: from the first read to sign-off with a manager.
Our client faced the same problem: the inflow of incoming contracts was growing 20% a year, the legal team would have had to double in size, and the speed of response to sales requests was dropping. That is when we decided to roll out an AI solution for automated contract review.
The result exceeded expectations: review time dropped from 3 hours to 15 minutes per contract, and annual savings reached $155,000. Payback - 2.5 months.
How we chose the AI for contract review
The market offers several types of solutions: from simple checklists based on regular expressions to neural networks trained on thousands of real contracts. We settled on a system using NLP (natural language processing) that:
- identifies standard blocks in a contract (subject matter, price, liability, force majeure);
- compares terms against the company's approved templates;
- highlights deviations and risks (for example, "penalty 0.5% instead of 0.1%", "supplier's liability capped at the contract value");
- produces a ready-made opinion with colour coding: red - critical, yellow - attention, green - fine.
We trained the platform on 3,000 historical contracts annotated by our lawyers. Integration with the corporate document management system took 3 weeks.
Before and after: how we calculated the $155,000 annual saving
Inputs:
- Number of contracts per year - 1,500 (incoming + outgoing for approval).
- Average time for a lawyer to review one contract - 3 hours.
- Lawyer's hourly cost including taxes and benefits - $40 (salary ~$5,000-6,000 per month).
- After the AI rollout, time dropped to 0.25 hours (15 minutes).
| Calculation step | Formula | Result |
|---|---|---|
| Time saved per contract | 3 - 0.25 | 2.75 hours |
| Time saved per year | 1,500 × 2.75 | 4,125 hours |
| Money saved | 4,125 × $40 | $165,000 |
However, the lawyers redirected part of the saved hours to higher-level work (litigation, deal structuring), so we conservatively estimate net savings at $155,000 per year. The investment in the AI solution (licence, configuration, training) was $30,000 - payback came in 2.5 months.
Additional benefits:
- The number of errors in contract approval fell - by 67% according to the internal audit.
- Lawyers stopped working in firefighting mode - now they have time to analyse complex contracts in depth.
- The sales team started receiving approved contracts in 30-40 minutes instead of two days.
How to bring AI into legal review: step by step (the G-Invest experience)
The consulting firm G-Invest specialises in automating legal and financial processes with AI. A brief work plan:
How many contracts, which types, how much time is spent, which risks are most frequent.
On-premise or cloud, off-the-shelf solution or customisation to your templates.
G-Invest lawyers help prepare contracts with the correct mark-ups.
So that contracts flow into the AI automatically.
How to read the AI report and what to keep under a lawyer's control.
Conclusion
AI in contract review is not science fiction but a working tool with proven savings. The case described is just one of dozens delivered by G-Invest. If you want the same result, start with an audit: we will analyse 10 of your contracts and tell you how much time (and money) you will save.
Frequently asked questions
How much does legal contract review automation cost in 2025?
Pricing depends on the number of users and contract volume. A typical project for 5 lawyers and 2,000 contracts a year runs $25,000-40,000 to implement plus a subscription of ~$1,000 per month. It pays for itself in 2-4 months.
Can a lawyer's time per contract be cut to 10 minutes, and in which cases?
Yes, if the contracts are standard (supply, works, lease) and the AI is trained on 90% of your templates. For non-standard contracts the AI issues a warning and the lawyer spends 20-30 minutes.
How do you calculate the savings from bringing AI into a legal department - a simple formula?
(Hours per contract BEFORE - hours AFTER) × number of contracts × lawyer's hourly cost. Example from the article: (3 - 0.25) × 1,500 × $40 = $165,000 in savings before deducting AI costs.
What are the risks of using a neural network to analyse contracts?
The AI may miss a non-standard risk if that wording was not present in its training. That is why G-Invest insists on a hybrid model: AI -> preliminary filtering -> the lawyer signs off on the critical areas.
How do you convince management to invest in AI for lawyers - a sample ROI calculation?
Use our calculation: with a $34,000 cost and $155,000 in annual savings, ROI = ($155,000 - $34,000) / $34,000 = 356%. A simple argument: within 3 months the AI pays for itself, and after that it runs in the black.
What other processes in a legal department can be automated with AI?
Claims handling (generating responses to claims), analysis of case law on similar matters, automatic drafting of statements of claim, screening counterparties through public registries.
Is AI suitable for reviewing contracts in English or other languages?
Yes, modern NLP models work with 50+ languages. G-Invest has deployed solutions for international contracts in English, Spanish, French and Chinese.
Find out how much your legal department will save
G-Invest will analyse 10 of your contracts, calculate the savings in time and money, and propose a plan to roll out AI review tailored to your templates and document workflow.