Let’s explore how AI revolutionizes contract management and the benefits it offers while not forgetting how vital human input is.

Key takeaways

• A business can use AI to automate and optimize contract management processes, providing cost savings, improved accuracy, and enhanced efficiency.
• Sales, finance, supply chain, and legal teams can leverage AI to reduce costs by automating repetitive tasks and optimizing processes.
• Human input is essential for accurate analysis of contracts, while regular updates are needed for AI systems to remain effective.

Natural Language Processing

AI’s ability to understand and analyze contract language can be attributed to Natural Language Processing (NLP). NLP algorithms can be trained to detect specific legal terms and important clauses.

This includes indemnification provisions, termination clauses, and payment terms. This allows for improved contract life cycle management.

AI-based contract management tools provide valuable features, such as:

• Automatic alerts or email reminders, based on names and dates identified within a document,
• Highlighting potential legal issues,
• Automatically redlining revisions,
• Proposing edits to enhance the contract’s efficacy.

These tools utilize AI to identify key terms and perform these tasks, making contract management more efficient and effective.

Machine Learning

Machine learning, a branch of Artificial Intelligence, enables computers to learn and make predictions or decisions without explicit programming, using data and algorithms. It uses algorithms use data to recognize patterns and trends, then apply those patterns and trends to make predictions or decisions, continuously learning and adjusting to new data.

Machine learning’s incorporation into contract management automates many tasks, including data extraction, workflow automation, risk management, and ensuring compliance. Additionally, machine learning can facilitate contract drafting, execution, review, and renewal, thus supporting the legal team’s work.

Despite these advantages, AI algorithms may still struggle with contextual understanding and require regular updates to remain current.

The role of AI in the contract management process

According to the Enterprise Legal Reputation (ELR) Report by Onit, 40% of legal teams spend half of their workday reviewing and handling contracts. While legal teams handle a large volume of contracting processes, almost every team is exposed to poor contract management.

Just think about how much time sales, procurement, finance, and other teams spend with contracts and legal documents. Poor contract management can cost up to 9% of a company’s total revenue.

As the volume of contracts and complexity of legal language grows, businesses have two options. Either they hire more employees or rely more on technologies like artificial intelligence to keep track of contracts, mitigate risk, and streamline their contract management processes.

AI-powered contract management automates tasks, enhances efficiency, and generates insightful analytics, ultimately improving the contracting process. However, while AI offers numerous benefits, it cannot replace the invaluable human touch in contract management.

Businesses equipped with AI-driven tools form a powerful team capable of making informed decisions and executing contracts precisely. When businesses integrate AI into their contract management strategies, they can save time, lower the risk of human error, hire fewer lawyers, and focus on strategic legal tasks. Meanwhile, AI can handle the time-consuming administrative work.

Now, let’s dive into how AI-based contract management can transform a business’ processes.

Workflow automation

Workflow automation uses software programs to streamline and automate a sequence of tasks or activities without human involvement. Such automation boosts company productivity, decreases mistakes, and helps save time and resources.

AI-powered contract management software offers several advantages when it comes to workflow automation. It can reduce errors, accelerate contract creation and document assembly, and decrease contract preparation costs. AI can be employed in various tasks, such as automated contract review, approval, and automated renewal, ultimately simplifying the contracting process.

AI contract management tools incorporate user-friendly tools into contract management software, streamlining the management of contracts throughout their lifecycle. With AI-powered contract management software, employees dealing with contracts can be more efficient and effective in their roles.

Automating mundane tasks allows businesses to shift their focus to more complex and valuable work, thus minimizing the time dedicated to legal review. However, AI-powered workflow automation may face limitations in contextual comprehension and the need for regular updates.

Contract data extraction

Contract data extraction, which involves identifying and extracting critical data points from the contract text, is vital for efficient contract management. AI-based contract data extraction offers improved accuracy and time savings by automatically recognizing and classifying essential data.

AI-driven contract management tools can categorize contract types and parts of the contracts into various sections, including agreement, confidentiality, dispute resolution, IP rights, terms and conditions, and much more. So you can smoothly identify potentially risky terms and help you mitigate legal risks. 

However, there are challenges associated with utilizing AI for contract data extraction. For instance, the AI algorithms need updates and manual testing as AI-driven contract management might face difficulty comprehending the contract context.

Despite these challenges, AI can automate the process of extracting significant data from contracts, providing cost and time savings for legal departments and identifying revenue opportunities that may have gone unnoticed.

Risk management and compliance

In contract management risk analysis plays a pivotal role in contract management and compliance. Risk analysis involves identifying, assessing, and mitigating potential risks, including taking steps to mitigate risk while ensuring compliance with applicable laws and regulations.

Artificial intelligence assists in risk assessment and compliance by detecting possible issues, recommending modifications, and tracking regulatory changes.

AI provides a valuable asset for risk mitigation by recognizing potential problems, recommending modifications, and tracking regulatory modifications. Integrating AI into risk management and compliance allows organizations to proactively mitigate potential risks and maintain compliance with regulatory requirements and industry standards.

Improved contract lifecycle management with AI

Contract lifecycle management (CLM) involves monitoring and tracking all aspects of a contract from start to finish. The contracting process includes the following steps:

• Drafting
• Negotiation
• Approval
• Execution
• Renewal

AI can facilitate the automation and optimization of contract processes, accurately identifying and extracting data points from contracts to ensure you comply with the important clauses and due dates. How can you use AI-based contract management in the course of these steps?

You can easily set reminders for contract expiration and renewal dates or locate essential or standard clauses you are looking for while reviewing contracts. Or you can just ask AI-based tools to perform legal review.

AI offers cost reductions, improved accuracy, and enhanced efficiency in contract management, reducing the time and effort needed to review and renew contracts.

Drafting Contracts

AI assists in drafting contracts by utilizing auto-redline functionality, which identifies contract clauses that can be replaced with preferred clauses, helping organizations better prepare contracts.

Auto-redline functionality allows organizations to:

• Prepare contracts efficiently by detecting and substituting clauses in crucial contracts with preferred ones,
• Pave the way for confident contract reviews,
• Ensure intelligent drafting of new contracts,
• Draft contracts with high accuracy while minimizing errors and potential risks.

Utilizing this functionality can be a great benefit for a business to keep down wasted time on contract drafting.

Executing Contracts

AI technology facilitates contract execution by automating tasks, tracking progress, and recognizing delays.

AI monitors progress by tracking deadlines, flagging potential issues, and providing real-time updates. Additionally, AI uses data analysis to identify areas of inefficiency, thereby identifying bottlenecks in the contracting process.

Contract Review and Renewal

Automated contract review is a technology-assisted process utilizing software to review and analyze contracts. It employs artificial intelligence to extract relevant information, optimize processes, and detect patterns.

Both drafting and reviewing contracts are time-consuming tasks. It takes approximately 92 minutes to review one contract on average.

Automated contract review can help minimize the time, risk, and cost associated with manual review. It increases accuracy and detects concealed risks and potential areas for improvement.

Despite the potential limitations in contextual understanding, AI can streamline the contract review process, providing valuable insights into the performance of contracts and identifying areas for improvement.

Real-world applications of AI contract management software

AI has practical applications in contract management, such as streamlining contract managers’ processes, recognizing potential revenue sources, and normalizing contracts across industries. Automation of tedious tasks like document review, risk assessment, contract analysis, and due diligence through AI can significantly reduce the time and cost of a business.

In addition, AI can be employed to:

• Assess contracts for potential revenue opportunities, including upsells, cross-sells, and discounts
• Detect shared language and clauses across various industries, enabling the standardization of contracts
• Reduce the time and cost associated with contract negotiations

Utilizing AI in these ways can significantly improve AI contract management and efficiency.

Legal department

Legal departments can benefit from AI by automating repetitive tasks, allowing them to optimize their time and increase efficiency. Processes such as document review, contract analysis, and data entry can be automated using AI, enabling legal professionals to focus on more complex tasks, such as legal strategies and risk management.

Legal departments leveraging AI allow organizations to efficiently identify and address potential risks, optimize processes, and reduce costs. This powerful combination of AI and human expertise can lead to more effective and efficient contract management.

Other teams

Any teams working with a large volume of contracts and legal documents can improve their efficiency by deploying AI in contract management. Sales, procurement, or finance teams can enjoy the benefits of AI when it comes to managing contracts.

Overcoming the limitations of AI in contract management

AI in contract management may face limitations, such as accurately interpreting context or subtleties of language, potentially resulting in errors or misunderstandings in contract analysis.

The potential future of contracts with AI lies in the following:

• Highly routinized, standard-template-based contracts,
• Adjusting contracts only where necessary to meet individual requirements,
• Reducing the time spent on drafting, reviewing, and renewing contracts,
• Improved risk mitigation.

By addressing the limitations of AI and harnessing its potential, organizations can optimize their contract management processes and achieve greater efficiency.

Contextual Understanding

While AI might have difficulty understanding context and nuances in contract language, human input remains indispensable for accurate analysis. Contextual understanding is crucial for contract management, as it enables contract managers to comprehend the intricacies and subtleties of contracts and the implications of certain clauses.

By incorporating human expertise alongside AI, organizations can ensure that contracts are accurately drafted and executed and that potential risks are identified and addressed. This blend of AI and human input allows for a more comprehensive and precise approach to contract management.

Related posts:

• How Artificial Intelligence (AI) Can Change The Legal Landscape?
• How Automation is Reshaping Legal Workflows? (2026)

Frequent Updates

Regular updates are essential for AI-powered contract management systems to maintain their effectiveness and adapt to changing regulations and industry standards. Some potential drawbacks of AI regarding frequent updates include limited comprehension of context, high implementation and maintenance costs, and difficulty in providing logical explanations for AI forecasts.

To address these challenges, organizations can implement strategies such as incorporating AI into human decision-making processes, utilizing AI to automate tedious tasks, and utilizing AI to detect and address potential risks. Organizations can optimize their contract management processes and stay current with industry trends by ensuring frequent updates and maintaining a balance between AI and human expertise.

Summary

AI-powered contract management has revolutionized the legal field, automating tasks, enhancing efficiency, and providing valuable insights while requiring human input for optimal results. From drafting and executing contracts to risk management and compliance, AI offers a multitude of benefits for organizations.

By addressing the limitations of AI, harnessing its potential, and maintaining a balance between AI and human expertise, organizations can optimize their contract management processes and achieve greater efficiency.

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Frequently Asked Questions

What are the AI tools for contracts?

Legaliser and Kira Systems are two powerful AI tools for contracts, allowing users to quickly upload contracts for review and analysis. Other platforms like LawGeex and ContractPodAi also offer AI contract review and analysis services.

What is the disadvantage of using AI in contract management?

AI tools can be limited in their ability to identify nuances and subtle differences in contracts, and they cannot provide legal advice, making them a potential disadvantage when using AI for contract management. Additionally, more time and creative thought must be taken when drafting contracts to consider potential events and address consequences in advance.

How is AI changing contracts?

AI is streamlining and accelerating contract review cycles, optimizing terms and conditions, standardizing clauses, flagging non-compliant ones, and surfacing new insights from contract data. It also enables companies to access critical variables like clauses, dates, and parties in their contracts more effectively by first training an algorithm on a set of historical data.

What is the role of AI in contract law?

AI can help streamline contract review processes, identify patterns and key terms, and reduce contract errors and inconsistencies. It can also extract important data points and flag deviations within a contract, simplifying contract analysis and management.

How does AI-powered contract management work?

AI-powered contract management leverages AI to automate tasks, boost efficiency, and generate insight, all within a streamlined contract management software.

Aron Kantor

Hey there! I am Aron, the founder of Thebusinessdive. I have been testing productivity apps for almost three years now. I reach 25.000 -50.000 people monthly with the mission to help you find the perfect productivity apps. Subscribe to my YouTube channel, newsletter, and social media to hear more about the best productivity tools. Let’s dive in!

thebusinessdive.com

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These tools have revolutionized legal work, making it more accessible and streamlined. Let us check out how this tool simplifies the legal process and gives us much-needed benefits as legal professionals.

Efficiency in Drafting

Using contract drafting software substantially decreases the time taken to draft contracts. Traditional approaches are typically labor-intensive, involving repetitive tasks and even manually editing documents for good measure.

Templates and automated features eliminate each of these tedious steps, especially when enhanced with digital tools. This reduces the time it takes to create complex agreements, freeing up legal teams to concentrate on how best to approach strategic initiatives. Legal contract drafting software also reduces errors and ensures that every document can be traced.

Improved Accuracy

Legal work demands precision above all else. Errors may produce misunderstandings, disagreements, and even loss of money. With preset clauses and standardized language, contract drafting software helps increase accuracy.

It will help you to maintain uniformity throughout the documents. Error-checking tools embedded within the software warn users of possible errors, decreasing the chances of making a costly error. This saves a lot of time and improves the overall quality of legal documents.

Collaboration Made Easy

Legal work is collaborative, particularly if a representation involves multiple parties. Contract drafting software enables seamless collaborative work. Based on the cloud, multiple users can access and edit documents simultaneously.

It ensures that everyone is updated about all the changes. With commenting and tracking features, teams can communicate better and collaborate efficiently. These collaborative tools help to promote a more integrated workplace.

Enhanced Security

Security is an integral part of the legal sector. This kind of software has a comprehensive protection mechanism for personal and sensitive information. Encryption and access controls protect documents from unwanted access, helping keep sensitive information safe.

Regular updates and backups also help ensure no data loss. Attorneys can now have peace of mind when working with documents, knowing they are secure.

Cost-Effectiveness

Contract drafting software pays for itself in substantial long-term cost savings. Legal teams can better utilize their resources by minimizing the time taken on repetitive administrative tasks.

This software eliminates the need for paperwork and thus reduces office and business expenses. Also, reducing mistakes and related disagreements costs time and money. These savings can easily add up to a firm’s budget over time.

User-Friendly Interfaces

Contract drafting software is designed with usability in mind. Its intuitive interfaces also make it accessible to users with different technical skills. Users are walked through the process with clear instructions and help sections available.

Such a user-friendly system allows legal professionals to migrate to the software and seamlessly integrate it into their daily practices. It is easy to use, leading to greater productivity and team member satisfaction.

Adapting to Changing Needs

Legal work is not static, and requirements keep changing. In this way, contract drafting software has the flexibility to adapt to these changes. Users can create documents that address specific needs using customizable templates and features.

This flexibility ensures that the legal professionals cater to various client needs. Regular updates are needed to consider the shifts in regulations and industry standards, and legal teams remain compliant and on top of them.

Boosting Productivity

Contract drafting software saves precious time by automating repetitive tasks. Lawyers can refocus their energy on more sophisticated and gratifying work. This increase in productivity enables the firm to serve clients better and improve its brand image.

More efficiency also translates to lawyers being able to do more work without a dip in quality, leading to greater revenue opportunities.

Related articles:

• How to Unlock the Benefits of AI in Contract Management?
• How Artificial Intelligence (AI) Can Change The Legal Landscape?
• How Automation is Reshaping Legal Workflows? (2026)

Conclusion

Contract drafting software is a revolutionary tool for people in the legal field. It makes document drafting easier, reduces errors, and enhances team collaboration. It is excellent for the legal profession, with enhanced security, cost savings, user-friendly interfaces, etc.

This software increases productivity and evolves according to changing needs, keeping companies competitive, productive, and effective. Adopting this technology may offer a much simpler and more effective way to approach legal work for both professionals and clients.

Aron Kantor

Hey there! I am Aron, the founder of Thebusinessdive. I have been testing productivity apps for almost three years now. I reach 25.000 -50.000 people monthly with the mission to help you find the perfect productivity apps. Subscribe to my YouTube channel, newsletter, and social media to hear more about the best productivity tools. Let’s dive in!

thebusinessdive.com

The post How Contract Drafting Software Simplifies Legal Work (2026) appeared first on .

But for now, AI tools have been proven to amp up productivity. And it’s a step in the right direction. According to research, proper use of AI tools can increase productivity by almost 66%. 

Law is not just about arguing cases. It also involves tons of repetitive manual work such as document review and contract analysis that can be streamlined with AI and automation. 

In this article, we will shed light on how these tools are changing the legal profession and what benefits they bring to attorneys and law firms.

4 Ways How Automation Transforms Legal Workflows

Here are four ways how automation tools will change the legal space in 2026!

Cut Hours Off Legal Research and Document Review

Legal professionals spend countless hours sifting through cases, statutes, and precedents to build arguments. This time-intensive process pulls attorneys away from higher-value work. AI-led tools now scan thousands of documents in minutes, finding relevant information that would take humans days to discover.

Document review software with machine learning identifies key clauses, flags potential issues, and categorizes content automatically. These systems improve with use, learning from lawyer feedback to become more accurate over time.

In merger and acquisition (M&A) scenarios, AI systems slash due diligence review time by nearly three-quarters. Attorneys can process thousands of contracts and agreements while AI tools highlight critical provisions that might affect deal terms. What once took weeks now finishes in days without sacrificing thoroughness.

For example, contract analysis tools can extract important dates, obligations, and non-standard language across hundreds of agreements simultaneously. What once required a team of junior associates can now be completed by one attorney with AI assistance.

The real advantage isn’t just speed – it’s precision. These tools reduce human error from fatigue and help attorneys spot patterns across large document sets that might otherwise go unnoticed. This lets lawyers focus on strategy rather than drowning in paperwork.

AI-Powered Compliance Monitoring in Regulated Industries

Legal teams in pharmaceuticals and financial services constantly struggle to ensure all marketing claims and product information meet increasingly strict regulatory standards. The consequences of compliance failure can ripple through years, particularly when public health hangs in the balance.

Big pharma companies getting slammed with class-action lawsuits is not new; it has been happening for years. The failure to properly vet product claims and ensure regulatory compliance is not always intentional, but the results are often disastrous. 

When these mistakes happen, they put a huge dent in customer trust. Not to mention the hefty penalties, including fines, lawsuits, and damage to the company’s reputation.

The Depo shot lawsuit is a prime example of this risk. This contraceptive injection is now at the center of legal action because studies published in the British Medical Journal found that prolonged use is associated with a 500% increased risk of developing meningioma brain tumors. 

The lawsuit alleges that the manufacturers neglected to properly warn users about the heightened risks of this drug, reports TorHoerman Law.

AI-powered tools can help prevent such situations by automating monitoring and compliance checks. These tools can quickly scan product claims, advertisements, and promotional materials to flag any potentially misleading language. 

AI can also assist with data analysis, cross-referencing clinical trials, research, and regulatory guidelines to ensure claims are supported by credible evidence. This proactive approach helps legal teams catch discrepancies before they escalate into major issues.

Save Time and Reduce Risk With Smart Contract Management

Contract management remains one of the most time-consuming aspects of legal work. Many law firms still handle contracts manually—reviewing, editing, storing, and tracking key dates and provisions through spreadsheets or basic document systems.

AI-powered contract management platforms now automate this entire workflow. These systems extract critical information from agreements, flag unusual terms, and track renewal dates automatically. When a contract contains non-standard language, the AI highlights these sections for attorney review while handling routine clauses without human intervention.

AI excels in legal language by using Natural Language Processing (NLP) to understand and interpret complex legal terminology. NLP algorithms are trained to identify patterns in legal language, enabling the system to distinguish between standard and non-standard clauses, flagging inconsistencies or discrepancies. 

Moreover, AI can analyze contract clauses in relation to previous agreements, legal precedents, and regulatory standards, ensuring compliance. This technical ability to parse, interpret, and assess vast amounts of legal text at high speed significantly reduces the manual effort required, improving accuracy and efficiency in contract management.

Related articles:

• How Artificial Intelligence (AI) Can Change The Legal Landscape?
• How to Unlock the Benefits of AI in Contract Management?

Not Here to Replace, But Enhance Legal Work

“AI will replace lawyers” is more of a science fiction than a reality. The technology doesn’t work that way, even though it can certainly handle repetitive tasks more efficiently. What AI can do is streamline processes, improve accuracy, and give legal teams the tools they need to focus on more strategic work. Far from replacing lawyers, AI is here to enhance their capabilities.

Aron Kantor

Hey there! I am Aron, the founder of Thebusinessdive. I have been testing productivity apps for almost three years now. I reach 25.000 -50.000 people monthly with the mission to help you find the perfect productivity apps. Subscribe to my YouTube channel, newsletter, and social media to hear more about the best productivity tools. Let’s dive in!

thebusinessdive.com

The post How Automation is Reshaping Legal Workflows? (2026) appeared first on .

Many businesses have already started to integrate artificial intelligence into their processes to tackle diverse problems effectively. Whether it is customer experience, data analysis, content creation, or cybersecurity, artificial intelligence can be a good answer to many challenges. 

While machine learning and natural language processing are continuously improving as there is a high demand from the market, we also need to keep in mind the limitations of this new technology.

The ultimate question is how artificial intelligence impacts the legal landscape and how you can benefit from these changes. 

Who will be affected? 

I have bad news if you think generative AI will only affect the legal profession and law schools. Generative AI indeed will impact the legal profession and practice of law firms. However, many other players will experience higher influence in the course of AI adaption.

Startups, small businesses, and entrepreneurs

In my view, the early adopters of AI solutions in their processes are likely to be startups, entrepreneurs, and small businesses. You might be wondering why I believe these players will experience a more significant impact from AI technology on their day-to-day operations compared to in-house legal departments or law firms.

Startups, entrepreneurs, and small businesses are the ones who are forced to work within a tight budget in most cases. They will be the first to start considering how to lower cost, and these businesses will be the early adapters. 

Secondly, they will more likely take the risk and experiment with a specific AI tool, even if there is a chance it is not working out for them. Law firms are generally more cautious with new technology.

Finally, during the initial stages, startup founders and entrepreneurs often find themselves handling all tasks on their own. This situation arises primarily due to the limited financial resources that prevent them from outsourcing various functions, such as legal tasks.

As a result, they seek ways to optimize their time and productivity by using AI legal tools. By doing so, they can focus on their core business activities more effectively.

In-house legal departments

Big and medium size companies in-house legal departments can utilize AI solutions in their daily routine tasks. These companies can reach significant cost savings and not mention the time saving, by integrating AI solutions into their legal workflows due to the size of legal paperwork. 

While in-house legal departments have sufficient financial resources to apply AI solutions, they also have data and safety concerns. It is pretty common that these corporations work with a huge amount of data.

Their legal papers also include sensitive information about the company’s transactions, business models, and tax issues. People still remember Samsung’s case when ChatGPT leaked confidential data about the company.  

Law firms

Even though generative AI will affect lawyers strongly, only smaller law firms will adopt AI into their routine tasks in the early stages. In general, the legal industry is one of the most conservative sectors in terms of technology. Similarly to the big corporations, the big law firms will integrate AI into their daily work once it is totally risk-free and generally accepted in the legal industry.

Nevertheless, legal professionals working as sole proprietor or in a small law firm can be one of the early adopters. Generative AI can have a significant impact on cost and time savings. Providing legal services is time-consuming, and there are many critical tasks during the client journey. 

Lawyers must go through a hundred pages of documents and conduct numerous legal research to find relevant information. On the flip side, many lawyers do not have sufficient funds to hire employees in the early phases. Using generative AI can significantly lower the cost and time of legal research, contract review, and many routine tasks related to legal services.

How can AI tools help in legal tasks?

Contract and legal document review

Reviewing contracts and legal documents is a slow process. The time it takes for a comprehensive review can vary significantly, ranging from just a few hours to as long as a month. Typically, engaging with lawyers for a thorough review should take around a week for the majority of contracts. 

The situation is even worse if companies choose to do all the legal work in-house. According to the Enterprise Legal Reputation (ELR) Report by Onit, 40% of corporate legal professionals spend half of their workday reviewing and handling contracts.

Now, let’s do some math and put this into perspective. Think about the salaries of these legal experts and imagine the potential savings if they could automate at least some parts of that manual review process. 

AI solutions on the market already aim to almost entirely automate the contract and document review process. Such tools use AI technology to review documents based on predefined policies. These generative AI-based solutions use machine learning to review the process and understand the contractual context. Compared to manual approaches, it helps accelerate the document review process. This can be especially essential during due diligence work.

Considering small businesses and startups in the early stages, AI solutions can help to reduce attorneys’ costs and significantly decrease the time spent on legal work. 

Legal research 

Legal research is another time-consuming task where AI solutions can give you a helping hand. Most of the time, in-house lawyers face a dilemma when it comes to research. They may decide to do the legal research on their own if they have the necessary expertise regarding the subject in question to save money. Alternatively, they can opt to hire a lawyer, which means a high cost to the company. 

However, AI can provide an additional solution to this problem. You can ask legal questions in simple language and receive comprehensive answers. AI will dive into researching regulations, caselaw, secondary sources, and more to provide you with all the necessary information.

Document translation

AI legal tools make legal document translation more reliable and accessible. For example, Machine Translation.com‘s AI tool offers cost-effective legal translation for law firms, multinational businesses, and in-house legal teams.

You can use it whether you are dealing with court documents, intellectual property filings, contracts, or agreements. It utilizes the latest advances in AI and supports more than 240 languages.

Ultimately, using AI tools for legal translation seems promising and is constantly becoming more efficient as AI evolves.

Legal document management

Poor contract management can cost up to 9% of a company’s total revenue. Moreover, it can become a burdensome weekly task for many businesses.

Based on DocuSign findings, 68% of contract professionals search for completed contracts at least once a week for various reasons: 

• Anticipating upcoming renewals by searching for contracts (61%)
• Drafting new contracts based on completed ones (55%)
• Spotting deviations from terms and conditions (49%)
• Reviewing contractual obligations (45%)

A solid legal document management system can save time and money for legal, sales, and supply chain teams. AI legal tools can help you manage and automate workflows across the entire contract lifecycle. Using machine learning, AI can provide a report and list of when contracts will expire, organize documents, or extract key clauses. 

Ultimately, a legal document management tool can help you in many ways: 

• Streamline repetitive tasks: AI handles numerous repetitive tasks by automating data extraction, routine workflows, and document storage.
• Negotiation assistance: AI has the ability to extract crucial insights and track previous contracts, utilizing data to identify potential areas for improvement.
• Increased efficiency: One of AI’s biggest advantages is the power to streamline tasks to save time for you.
• Easy search: You can save time by finding the relevant information faster compared to manual approaches.

Contract and legal document analysis

Legal teams spend up to 34% of their time reviewing contracts to identify and mitigate risk. As most of the contracts are concluded in a different formula, it can be a time-consuming task. 

However, AI can give you a helping hand in this matter. AI technology uses extensive databases to categorize legal contracts into various sections, including agreement, confidentiality, dispute resolution, IP rights, terms and conditions, and much more. Once your legal document is categorized properly, AI can identify potentially risky terms and help you mitigate legal risks. 

Efficiency boost in legal work

We should not overlook that AI technology has limitations and not necessarily can be implemented in every industry. But one thing is certain – AI technology can make processes more efficient, irrespectively the specific industry we are discussing. 

Adopting AI in day-to-day workflows can be a massive boost for your businesses. It is worth it to take one step back and think through the repetitive tasks you are doing daily.

Many generative AI solutions can help in your daily work. It can be a tool helping you to prepare a summary on a document review like Humata AI. Or you can save time on your email drafts using Quillbot, for instance. 

Limitations of AI implementation 

Reliability

No tool can save you from thinking and adding human input. Numerous things can go wrong by over-relying on AI. As generative AI is still in the early phases, reliability is a massive challenge. The risk can come from the data used to train AI systems or the transparency behind the data structure.

There might be additional law-specific challenges. For example, imagine a business operating in multiple jurisdictions. In such a case, you have to consider the rules of the multiple jurisdictions and the tool’s coverage of countries.

Before deciding to invest in a specific AI tool, I recommend reading independent reviews or using a free trial option. If you are satisfied, I will go for a monthly plan instead of an annual one to have enough time to assess the AI tool’s accuracy and completeness.

Related posts:

• How Automation is Reshaping Legal Workflows? (2026)
• How to Unlock the Benefits of AI in Contract Management?

Data privacy

Due to technological advancements, more data is being generated daily than ever. And data privacy is one of the biggest focus points of generative AI-based tools.

As generative AI emerged fast in the last year, countries realized that large language models using machine learning could pose significant data protection and privacy challenges. In parallel with this trend, people are becoming increasingly cautious regarding their data. 

Most AI companies that use large language models are aware of the fact that data privacy is key for their operation, and they put a great emphasis on this issue. Nonetheless, the words and actions are two different things. 

To ensure you make a wise decision, I highly recommend thoroughly researching and reading reviews before purchasing. By doing so, you can make informed choices, support companies prioritizing data privacy, and take concrete steps to protect sensitive information.

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The cost of implementation

Several key factors can impact the cost of integrating AI:

• The specific AI technology integrated,
• The size of the company,
• Features of the AI tool,
• The extent and complexity of the project.

Legal AI solutions can generally range from a few hundred dollars to several hundred thousand dollars, depending on the functionalities. There are some more simple tools that do not require an implementation. However, more sophisticated AI software may also require significant time and personnel to implement. 

Human intelligence and expertise 

There is a huge emphasis on the fact that most AI implementations will help you to be more effective. Nevertheless, AI can not replace lawyers’ work and human elements in the case of critical tasks. 

AI relies on prompts, inputs, and pre-set data. Incorrect data or a missing document can lead to incorrect outputs. AI is only as good as the humans using it. Relying 100% on AI can easily result in additional costs and time. 

The key is to find the right balance between AI and human collaboration. You can have results more effectively by leveraging AI to automate repetitive tasks and analyze massive datasets. However, AI does not have the ability to make strategic decisions or build client relationships.  

Aron Kantor

Hey there! I am Aron, the founder of Thebusinessdive. I have been testing productivity apps for almost three years now. I reach 25.000 -50.000 people monthly with the mission to help you find the perfect productivity apps. Subscribe to my YouTube channel, newsletter, and social media to hear more about the best productivity tools. Let’s dive in!

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