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AI is everywhere. From ChatGPT and Google Gemini, to Microsoft Copilot and text-to-image apps that can generate a picture of you standing next to your favorite celebrity, it’s impossible to ignore how quickly the technology has become part of everyday life. And legal is no exception.
While human expertise will always be essential for high-stakes judgment calls, many parts of legal work are now being automated and infused with AI.
By intelligently handling requests and surfacing key insights, AI is helping lawyers reduce risk, increase efficiency, and focus on the matters that truly require their attention.
Let’s explore some of the top benefits of AI for legal professionals and which AI legal tech solutions are most popular among in-house legal teams today.
⏳ Save Time by Eliminating Manual Triage
Manually reviewing every legal request, deciding its priority, and routing it to the right place is time-consuming and error-prone.
AI legal tech software such as Checkbox solves this problem with AI-powered intake and triage. For example, when a request is submitted, AI interprets the request, and automatically matches it to the right category (whether that’s a contract review, compliance issue, or general legal advice).
From there, it routes the request to the appropriate workflow or directly to the right lawyer, complete with the context needed to take action.
Related Article: Learn more about where AI fits into legal intake and triage (and where it doesn’t).
🤖 Reduce Repetitive Requests Through Self-Service
A large portion of legal’s workload comes from simple, repeatable requests like generating NDAs, checking policies, or answering FAQs. Handling these manually not only consumes valuable time but also slows down the business.
Legal AI chatbots guide employees to self-service tools that address these needs instantly. Using Checkbox as an example, a business user can ask the chatbot a policy question or request an NDA. The AI either provides the answer instantly based on its knowledge of company policies and guidelines, or it directs the user to a document generator app to create the NDA themselves.
If the request can’t be completed without lawyer intervention, the legal chatbot will create a matter for the request, assign an appropriate lawyer, and provide the user with a tracking link to monitor the status of their request.
This means employees get what they need quickly, while legal avoids being interrupted with low-value, repetitive work. The outcome is a faster, smoother experience for the business and more capacity for legal to focus on strategic priorities.
💡Pro Tip: Make sure your AI chatbot is available in apps that business users already use like Slack, Microsoft Teams, or your company’s intranet. The easier it is to access, the more likely employees will use it instead of reverting to shooting off unstructured emails.
⚠️ Minimize Risk with Smarter Contract Oversight
Contracts are one of the highest-volume and highest-risk areas for legal teams. Yet reviewing them manually to identify key details, like renewal dates, contract values, or obligations, takes time and creates the risk of missing critical terms.
Some in-house legal software use AI-powered contract term extraction to automatically scan uploaded agreements and pull out the most important information. These details are stored as structured data, which can then trigger reminders, drive approval workflows, or feed into reporting dashboards.
By automating the oversight of contract data, legal reduces the chance of missed deadlines or non-compliance, while also creating visibility across the contract portfolio. This not only minimizes risk but also ensures that legal can proactively manage obligations instead of reacting to problems after they arise.
👀 Gain Visibility into Workload & Performance
One of the biggest challenges for General Counsels (GCs) and legal ops leaders is demonstrating the value of legal to the wider business. Without clear data, it’s difficult to show how much work is coming in, how quickly it’s being handled, or where bottlenecks exist.
With AI in legal tech, raw data can instantly be turned into real-time updating insights. As matters move through intake, triage, and resolution, AI ensures that each step is automatically tracked and analyzed. That way, legal can see request volumes, cycle times, and turnaround trends at a glance, making it easier to identify pressure points and showcase improvements.
This visibility not only helps legal operate more efficiently but also empowers leaders to communicate impact and secure support from the business.
🛡️ Protect Sensitive Legal Data with Secure AI
For legal teams, confidentiality and security are crucial. And while many consumer AI tools raise concerns about data privacy and accuracy, AI legal tech software solutions such as Checkbox are designed specifically with legal in mind.
Checkbox operates in a closed, private-source environment where AI is trained only on the documents and workflows you choose. This reduces the risk of “hallucinations” and ensures that responses are grounded in accurate, trusted sources. Data is encrypted, access-controlled, and stored in secure regions aligned with customer needs, with additional protections like SOC2 and ISO certifications in place.

Key Takeaways
While human expertise will always be essential for high-stakes judgment calls, many parts of legal work are now being automated and infused with AI. Some of the biggest benefits adopting AI for lawyers include:
- Saving time by automating intake and triage
- Reducing repetitive requests through self-service tools
- Minimizing risk with AI-powered contract oversight
- Gaining visibility into workload and performance with real-time dashboards
- Protecting sensitive data with secure, legal-grade AI
With Checkbox’s AI-powered legal tools, these benefits are built into the way legal teams capture, manage, and resolve work every day.
Want to see how Checkbox AI can transform your legal team? Book a demo today.
Frequently Asked Questions
How does AI improve legal document analysis accuracy?
AI uses natural language processing and machine learning to extract key terms, identify risks, and highlight obligations in contracts, reducing human error and improving consistency. It ensures important details like renewal dates or compliance requirements are never overlooked.
What are the ethical considerations of using AI in law?
Ethical concerns include maintaining confidentiality, preventing bias in AI outputs, and ensuring that human lawyers remain accountable for final decisions. Transparency and secure, legal-grade AI systems help mitigate these risks.
How can small legal teams implement AI solutions?
Small legal teams can start with targeted AI tools such as contract review, intake automation, or chatbots for FAQs. These deliver immediate time savings without requiring heavy IT resources or large budgets.
What future developments are expected in AI for legal practices?
Future developments in AI for lawyers include more advanced predictive analytics, AI-driven decision support, and deeper integrations with business systems. These innovations will help legal teams operate more strategically and align closely with business goals.
How does AI-powered legal intake work?
AI-powered legal intake interprets natural language requests (conversational requests), categorizes them, and routes them to the correct workflow or lawyer, eliminating email chaos and delays.
What are the main benefits of AI for in-house legal teams?
AI reduces manual triage, automates repetitive requests, minimizes contract risks, and provides real-time visibility, helping legal teams work more efficiently and strategically.
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