

The procurement and sales market is in constant motion, yet companies continue to lose millions due to crude documentation errors. A typo in a contract, a manager inadvertently entering the wrong VAT, a month-long approval process—not because of serious disputes, but simply because a file is circulating from department to department. The same thing happens every month.
Errors are just the tip of the iceberg. You need to control the entire journey from template to signing. Manually, you enter the same data into every contract and send reminders about deadlines. Ultimately, lawyers and managers become exhausted by routine work, leaving little time for actual creative tasks.
“We have experienced all these painful sides of contract workflow—from micro-businesses with an annual turnover of hundreds of thousands of rubles to projects worth millions of dollars. Over eleven years, we have repeatedly observed companies losing contracts simply because they failed to sign everything on the same day. And how a single mistake in a contract consumed up to 40% of a deal's margin. Contract automation is not just a fashion trend, but a matter of survival in a market where speed and accuracy determine exactly who gets the client.”
Contract automation is the process where software tools handle these workflows instead of manual labor by lawyers. The process is rapid—a contract is created in seconds and automatically sent for signature through integration with electronic document management systems.
The tasks are clear: reduce errors, increase document turnover speed, and lower verification and storage costs. The goal of specific tasks is the generation of documents, such as contracts, based on specific events—events like a new lead in a CRM system, a prepared estimate, or supervisor approval—as well as auto-filling, deadline control, and integration with accounting and legal services.

Through automation, the time required to create a contract is reduced from 45-60 minutes to 5-10 minutes, and the number of errors drops by 70-80%. Corporations with automated approval procedures record a significant acceleration of deals by 40–50% and save up to 30% in annual operational costs.
Here is a practical example—at QuickShock in 2022, we automated contracts for crypto projects. Before that, the legal department spent at least 2–3 hours every day, including weekends, manually filling out 15-20 applications from different countries—copying templates, inserting data, and sending them via email. We set up a system that creates a contract in 30 seconds based on a CRM request and sends a PDF to the client via Telegram. The result: the lawyer freed up 90% of their working time, errors vanished, and processing speed increased tenfold.
First is a drastic increase in efficiency. A manager no longer spends hours on a single contract; instead, they can process ten times more because the system instantly pulls data from the CRM, populates the template, and generates the finished document. For high-load companies—marketplaces or agencies with hundreds of clients—this is critical.
The next advantage is the reduction in errors. Humans get tired, copy outdated data, or forget to change necessary key fields. The software, however, uses a single database and will never miss mandatory fields.
Finally, there is the saving of time and resources. For example, with 200 contracts per month, let's consider that manual processing takes 40 minutes per contract. This results in 200 × 40 = 8,000 minutes, which means 133 hours of work—more than three weeks of one person's labor. Automating just one contract reduces manual labor to 5 minutes. This means only 17 hours of manual work remain per month, allowing everyone to focus on complex deals and development.
For instance, at ArbitrageScanner.io, following a marketing campaign, the number of users grew from 500 to 3,000 per month. Anyone who has ever signed paperwork knows what this entails—manual processing of hundreds of documents with queues and delays. We built an automatic subscription system that processes payment, generates a contract with an electronic signature, and instantly sends it to the personal account area.
Processing time dropped from 20 minutes to 10 seconds, conversion increased by 25%, and employees were freed from routine tasks.
A template is the foundation, consisting of a fixed structure and variable fields: counterparty name, amount, deadlines, and banking details. The system takes the necessary data from the database and generates the finished contract. The pros of templates are that they allow for standardized terms, reduce risks, and increase document preparation speed—from minutes to seconds. For companies with recurring deals (rentals, supplies, services), templates are an indispensable basis for document workflow.
To create a high-quality and professional template, one must first analyze all types of contracts, identifying common components and variable elements, then draft a universal text with tags, upload it to the system, set the population parameters, and remember to test it. Aberdeen Group indicates that the use of standardized templates leads to a 50% reduction in approval time and a 35% decrease in legal costs.
Word is the most common tool for small and medium-sized businesses. The "Mail Merge" function allows for data extraction from Excel, CRM, or Google Sheets. To use it, open a sales contract, replace the necessary spots with MergeFields, link it to the data source, and perform the merge—Word will create documents for each record automatically.
For more advanced and complex process automation—email campaigns, integration with other services—NoCode platforms like ASCN.AI, Zapier, and Make are used. They trigger the process based on an event, generate the file, and distribute it automatically.
Suggestions: do not forget to group templates by type, use conditional blocks (i.e., highlighting specific clauses for large amounts), and strictly monitor correct formatting. Additionally, as an alternative, you can use Google Docs with various add-ons, PDF editors with fillable forms, and specialized contract builders, among which Contractbook and PandaDoc are particularly noteworthy.
The essence is simple: the template contains fields that are pre-filled automatically from a database (CRM, ERP, Google Sheets). Using NoCode platforms (ASCN.AI, Zapier, Make), all operations can be performed easily without a single line of code: a record triggers the contract generation, pulls data from the CRM, and the finished file is sent to the client via email or saved in the system.
User-friendly editors, libraries of standard clauses, and integration with Salesforce or HubSpot—specialized systems (Contractbook, Concord, PandaDoc) provide document creation capabilities to those without technical skills. If off-the-shelf software packages are not suitable and technical expertise is available, custom solutions can be written via API using python-docx, ReportLab, and similar libraries.
Examples include: Bitrix24 + Word template—when a deal moves to the "Contract" stage, the merge is triggered, and the PDF is saved in the client card; Google Sheets + Google Docs—the document is created and automatically sent using Autocrat.
This is of undeniable importance: all fields in the template must strictly correspond to the data taken from sources; validation must be performed, and automatic formatting (e.g., dates and amounts in words) must be applied.
Population in Word and other formats has its own characteristics
Word leads the pack—it is convenient for editing and widely used. Automation is achieved through merge fields, VBA macros (e.g., conditional blocks, auto-numbering), and third-party service APIs (Aspose.Words, Docmosis). PDF forms are filled using the Adobe Acrobat API, while HTML templates are used in web applications with subsequent conversion to PDF.
Tip—after generating a DOCX, it is better to convert it to PDF immediately to preserve formatting and avoid compatibility issues. Do not forget about the correct formatting of dates and amounts.
Electronic signatures and digital means of execution. An electronic signature (ES) is an analog of a handwritten signature used to certify the authorship and integrity of a document. In the Russian Federation, there are several types of ES:
Simple ES (login, password, SMS code);
Enhanced Unqualified ES (crypto key without accreditation);
Enhanced Qualified Electronic Signature (QES/UKEP), which has full legal force—it is equivalent to a handwritten signature.
Certificates are issued by official certification centers (such as Kontur, Tensor, etc.). The document is signed by the participants sequentially through an Electronic Document Management (EDM) system (e.g., SBIS, Diadoc). All copies with signatures are saved, and the contract is considered executed. Federal Law No. 63-FZ, titled "On Electronic Signatures," grants legal force to electronic documents signed with a QES in compliance with all requirements. However, there are exceptions—for example, transactions involving real estate requiring mandatory notarization.
Pros of ES: instantaneous signing without paper red tape, automatic authenticity verification, minimization of forgery risks, and acceleration of document turnover.
Legal Aspects and Integration with Document Workflow
When contract automation interfaces and integrates with EDM platforms, the cycle merges into a single process. Automated contract execution, filling in details, sending for signature, signing by both parties, and subsequent archiving—all this happens virtually without human intervention, except for the final legal check.
Examples of such integrations:
Bitrix24 + Kontur.Diadoc: A PDF is automatically generated based on the deal stage, sent for approval, and then enters the CRM once signing is complete;
Internal system + SBIS API: Sending a contract for signature, tracking the signing process status, and triggering production.
Integration eliminates risks and process slowdowns associated with manual file exchange and status monitoring.
Legislative requirements are simple but critical: the contract must contain essential terms, both parties must have a valid QES, and the EDM system must maintain the document's immutability and metadata. Anything changed after execution is considered invalid.
Risks: if a counterparty does not have or use an ES, a paper duplicate must be organized, or assistance provided in obtaining an ES. Technical failures require the setup of automatic notifications and status monitoring.
Naturally, automated review involves a program checking the document against certain criteria, specifically: whether all mandatory clauses are present, if fields are filled, and if the contract complies with corporate and legislative norms. Before implementing the system, a lawyer spent 20–40 minutes on each document; now, they receive a report with issues and suggestions in just seconds.
Types of solutions:
Rule-based: Simple checklists, for example, just checking for the existence of a "delivery timeframe clause";
AI models (NLP): Analyze the meaning of the text, identify hidden risks, and suspicious wording (LawGeex, Kira Systems);
Hybrid: Combine rules and AI for the most accurate and reliable analysis.
A common mistake during implementation is setting overly rigid rules, using outdated algorithms, or failing to integrate the review into the approval process. Therefore, flexibility in settings, systematic rule updates, and mandatory verification before signing are important. For example, an equipment rental service implemented control for 15 critical elements. If even one clause is missing, or terms do not meet minimum criteria for duration or amounts, sending is blocked. This led to a reduction in omissions from 12% to 0.5%.
Contracts are monitored using AI and rules
AI helps solve complex tasks by analyzing meaning, identifying risks, and comparing documents against model contracts. It is used to assess clauses for risks, match them with CRM data, and issue recommendations for changes. Here is a real story: LawGeex used AI and 20 lawyers to review 5 NDAs. The results—the lawyers had 85% accuracy in 92 minutes, while the AI had 94% accuracy in 26 seconds.
In a large Russian bank, an AI system reduced review time from 15-20 minutes to 2. And of course—setup in ASCN.AI NoCode: such mechanisms represent a workflow where a contract is fed as input, text is sent to an API, and notifications are sent in case of a high risk score, generating recommendations.
By contract tracking, we mean centralized storage of all documents with automatic tracking of dates (execution, expiration, renewal) and reminders. This reduces the risk of missing deadlines and simplifies search and analysis.
A variety of solutions exist that are suitable for automating contract work:
CRM with document modules: Contractbook, Concord, Ironclad—offering storage, analytics, notifications, etc.
ERP modules—1C, SAP—allowing integration with accounting, warehousing, and automation of business processes.
NoCode platforms—ASCN.AI, Airtable, Notion—flexible, simple, and customizable platforms.
The choice depends on volume and integration: Google Sheets with automation suits small businesses, medium-sized businesses need a specialized CRM, and large enterprises require an ERP with universal capabilities. Typical functionality includes: contract registration, deadline control, interaction with counterparties and projects, storage of signed documents, reports, and analytics.
Automatic Notifications and Reports
Trigger settings for reminders look like this:
30 days prior—an email to the manager;
7 days prior—a text message to the account manager;
Upon expiration—a notification in the corporate chat.
Examples of achievable tasks:
Reminders for contract renewal;
Work submission milestones;
Payment reminders for the accounting department.
In ASCN.AI NoCode, this is achieved through the following chain: a contract database exists in Google Sheets or Airtable, a workflow checks dates, filtering is applied, notifications are sent, and logging occurs. Reports can include: weekly—contracts expiring in the coming week; monthly—a summary of executed and terminated contracts; quarterly—analytics by contract type and key counterparties.
First, carefully understand how your process currently works. Collect all types of contracts and follow the entire path from application to archive. For example: client application → manager creates a deal → copies a template → manually fills fields → sends to a lawyer → signs with the client after review → receives a scanned signed document → saves and records it in Excel. You need to calculate the time for each stage, find bottlenecks—errors and delays, lack of searchability, and storage issues. Tools will include employee interviews and process visualization (process mapping).
Select and configure your tools. NoCode solutions (ASCN.AI, Zapier, Make) are suitable for small businesses. For medium-sized businesses—specialized platforms (Contractbook, PandaDoc). Large companies should opt for an ERP system with contract management modules (SAP, 1C).
Example of setup in ASCN.AI NoCode:
Launch Google Sheets or Airtable, create a contract database with a set of basic fields;
Include a particularly important field defining the type of document—"contract" or "addendum";
Enable a trigger for adding a record;
Add a document generation node via API or Google Docs;
Add the delivery of the finished document via email or Telegram;
Set up approvals and notifications for the manager;
Integrate with EDM for automatic sending for signature;
Set up deadline reminders and reports.
Automating chaos without prior standardization. You must bring order first.
Low staff motivation. Conduct training and assign responsible parties.
Overly complex solutions for small businesses. Start simple.
Lack of coordination with other systems—ensure integration with existing software.
Do not neglect the legal side—consult the legal department at the very beginning.
Use the "Mail Merge" function: create a template with variable fields, prepare a table with data, and the merge will automatically generate Word contracts for each record. For full automation and email delivery, connect a NoCode platform that triggers the process based on an event. This speeds up processing and reduces errors.
The final choice depends primarily on the tasks and the volume of the document process automation. For example:
Google Sheets + Autocrat—a simple and free solution for micro-businesses;
Contractbook, PandaDoc, Concord—convenient for small and medium businesses;
1C, SAP—for large companies with complex processes;
ASCN.AI NoCode—provides flexibility and performs actions without programmers;
EDM systems (Kontur.Diadoc, SBIS) for signing with ES and document exchange.
The legal validity of agreements certified using an Enhanced Qualified Electronic Signature (QES/UKEP) gives electronic agreements full legal force in Russia under the provisions of Federal Law No. 63-FZ and the Civil Code of the Russian Federation. Regarding legal compliance, both parties to the transaction must be provided with current and valid QES certificates that certify the signers' powers with the same degree of force regarding the parties to the deal. Furthermore, the contract used in the transaction must contain essential terms, and the signature itself must be verifiable and immutable.
Transactions requiring notarization are an exception to this scheme. Courts generally recognize electronic agreements signed with a QES as equivalent to paper ones, provided the authenticity of the signature is not disputed. For certain types of government procurement and transactions, additional requirements for electronic document management (EDM) apply.
Contract automation successfully addresses three key tasks: it significantly reduces time spent on routine, minimizes the number of errors, and ensures more transparent deadline control. Here are the actual figures: document preparation time decreases from 40-60 minutes to 5-10, errors are reduced by 70-90%, deal cycles accelerate by 40-50%, and operational costs drop by up to 30%.
Automation allows for quick reactions, improves document quality and process transparency, and reduces risks. In a dynamic niche like the crypto business, where every second counts, we established mechanisms for generating a contract in 30 seconds with delivery via Telegram, notifications, and archiving, which allowed us to increase our client base tenfold—from 20 to 200. Notably, not a single new lawyer was required on staff. With the help of AI agents from ASCN.AI, a system can be created in days—without programmers: ready-made workflow settings, integration with CRM and EDM, automatic notifications, and reports—all in one solution.
The information in this article is general in nature and does not replace investment, legal, or security advice. Using AI assistants requires a conscious approach and an understanding of the features of specific platforms.