Modern corporate legal departments handle a growing volume of contracts, compliance questions, policy requests, legal inquiries, document reviews, and business support activities. As demand increases, manually managing every request through email, spreadsheets, and disconnected systems can create delays and unnecessary administrative work.
An automated legal process uses technology to organize, route, track, and complete appropriate legal activities with less manual intervention. By combining workflow automation, artificial intelligence, legal self-service, structured intake, and analytics, organizations can create more efficient legal operations while allowing legal professionals to focus on work that requires expertise and judgment.
MyLegal's approach combines its enterprise-grade automation platform with LiSA, a generative AI Legal Services Assistant. The company describes LiSA as a tool designed to help corporate legal teams automate legal processes, streamline operations, reduce manual effort, and accelerate outcomes.
What Is an Automated Legal Process?
An automated legal process is a structured legal workflow in which technology performs or supports repetitive activities according to predefined rules, information, and business requirements.
Instead of an employee sending an email and waiting for a legal professional to determine what should happen next, an automated process can begin with a centralized intake experience. The system can collect relevant information, identify the type of request, route it to the appropriate person or team, trigger workflow steps, and track the matter through completion.
Depending on the process, automation may support:
- Legal request intake
- Request classification
- Information collection
- Automated routing
- Document workflows
- Approvals
- Notifications
- Self-service questions
- Escalation
- Process tracking
- Auditing
- Analytics
The objective is not to automate every legal decision. Instead, automation should handle appropriate administrative and repetitive activities while qualified legal professionals remain responsible for matters requiring legal judgment.
Why Legal Departments Are Moving Toward Automation
Corporate legal teams often receive large volumes of repetitive, lower-value requests. MyLegal explains that these requests can prevent legal department staff from concentrating on important activities expected by company leadership. When departments respond primarily by increasing staff, long-term costs can rise while manual processes can still result in limited efficiency and activity tracking.
An automated legal process can help address these challenges by creating a more structured way to manage incoming work.
For example, instead of manually reviewing every request, a legal department can establish an automated intake process that gathers information before the matter reaches the appropriate team. This can reduce unnecessary back-and-forth communication and make the initial review more efficient.
Legal Self-Service and Automation
Legal self-service is an important part of modern legal process automation. Employees frequently have straightforward questions about policies, procedures, contracts, or other legal information.
Sending every question directly to an attorney can consume valuable time. A self-service system can provide approved information for appropriate questions while escalating more complex matters to the legal department.
MyLegal's LiSA is designed around this concept. The company describes a unified entry point for legal requests combined with legal service assistant capabilities that can increase self-service, reduce demand on legal teams, free staff resources for higher-value activities, and improve client satisfaction.
This model creates a useful balance: technology handles suitable routine interactions, while legal professionals remain available for complex issues.
AI-Powered Legal Assistance
Artificial intelligence is becoming an important component of automated legal processes. Generative AI can provide an interactive interface through which employees ask questions and receive information based on an organization's approved knowledge resources.
MyLegal says it developed LiSA using ChatGPT and generative AI, with large language models helping retrieve information from a comprehensive corpus for self-service. As the complexity of a request increases, the system can provide additional information or generate a request for legal assistance.
This can create a more responsive legal service experience. Instead of requiring an employee to determine which inbox or form to use, an AI-powered assistant can act as a first point of interaction and guide the request toward the appropriate next step.
Automated Legal Intake
Intake is one of the most important areas for legal process improvement.
A legal department needs sufficient information to understand what a requester needs before it can properly prioritize and route the matter. Poor intake can create delays because lawyers have to repeatedly contact employees for missing information.
MyLegal notes that intake is a major area for process improvement and says it has developed numerous applications addressing different legal department intake processes. Its LiSA solution can accept requests through a chat session or an intake form, supported by the company's enterprise-grade automation platform.
An effective automated intake process can collect details such as the type of request, relevant parties, deadlines, documents, business context, and other information required for triage.
Why a Chatbot Alone Is Not Legal Automation
Simply adding an AI chatbot does not necessarily create an automated legal process.
MyLegal specifically distinguishes between a chatbot that merely replaces a general email inbox and a fully integrated automation platform. If an AI conversation simply produces a ticket without collecting enough information for effective triage, the organization may improve the user interface without improving the underlying process.
This is a crucial distinction.
A successful automated legal process needs both an effective front end and an efficient back end. The intake experience should connect directly with formal workflows so that information can move from the initial request through routing, processing, escalation, and completion.
Automated Routing of Legal Requests
Legal departments often have specialists responsible for different areas of law and business support. A contract request may need to go to a commercial attorney, while a privacy question may require a different subject matter expert.
Automation can help route requests according to predefined rules.
Once information is collected, the process can identify the appropriate category and send the matter to the relevant person or team. MyLegal describes its approach as using formal processes that route activities to the proper person or team while managing the process efficiently and automatically.
Automated routing can reduce manual triage and help ensure that requests reach the right destination more consistently.
Creating End-to-End Legal Workflows
The strongest automated legal processes do not stop after intake. They connect multiple stages of the legal service lifecycle.
A typical automated process might follow these steps:
- An employee submits a legal request.
- The system collects relevant information.
- AI or predefined rules help categorize the request.
- The request is routed to the appropriate team.
- Required documents or information are collected.
- Approvals or reviews are triggered.
- Complex matters are escalated to legal professionals.
- The request is tracked through completion.
- The outcome is recorded.
- Analytics are used to evaluate the process.
MyLegal emphasizes that an integrated automation platform can collect sufficient request details, initiate formal processes, route activities appropriately, and manage the workflow in an automated manner.
Reducing Manual Legal Work
One of the biggest advantages of automation is reducing repetitive administrative work.
Legal professionals may spend substantial time on activities such as sorting requests, sending status updates, collecting missing information, assigning matters, and performing repetitive data entry.
Automating appropriate portions of these activities can give legal teams more time for higher-value work, including negotiations, complex contract analysis, strategic advice, compliance planning, and risk assessment.
The purpose of automation is therefore not simply to make processes faster. It is also to improve how legal department resources are used.
Improving Legal Department Efficiency
Efficiency depends on how effectively a legal department manages its available resources.
MyLegal describes LiSA as a solution intended to increase self-service, flatten demand and costs, free staff resources for high-value activities, and improve client satisfaction.
An automated legal process can help departments manage increasing demand without relying exclusively on additional manual resources.
This can be particularly valuable for organizations where legal teams support large numbers of employees across multiple departments.
Automation and Process Standardization
Every legal request does not need to be handled in exactly the same way. However, recurring processes can often benefit from standardization.
For example, an organization may establish a consistent process for a particular category of contract request. The system can collect the same core information, follow predetermined approval steps, and route the request according to established rules.
Standardization can make processes more predictable and easier to measure.
It can also help legal operations teams identify which parts of a process can be improved or automated further.
Low-Code and No-Code Legal Automation
Legal processes change as organizations grow. New policies, business requirements, regulatory obligations, and internal procedures may require workflow adjustments.
MyLegal describes its automation environment as an agile low-code/no-code platform that allows departments to modify processes as their needs change without traditional code compilation.
This flexibility can be useful because legal operations teams may need to adjust workflows without rebuilding an entire software application.
A configurable environment can allow organizations to respond more quickly when processes change.
Security and Information Governance
Legal departments handle sensitive corporate information, so security and access control are important considerations when implementing AI and automation.
MyLegal states that legal departments have control over the corpus stored in its repository and can establish boundaries around what information is delivered and which roles can receive particular content.
Organizations implementing automated legal processes should establish appropriate controls around access, information governance, privacy, security, and human review.
AI-generated information should also be evaluated carefully, particularly when a request involves significant legal, regulatory, financial, or business consequences.
Auditing and Analytics
Automation creates an opportunity to collect useful operational data.
A legal department can use analytics to understand:
- How many requests are being received
- Which request types are most common
- Where processes slow down
- Which matters require escalation
- How resources are being used
- Which activities may be suitable for additional automation
- Whether process changes are improving outcomes
MyLegal highlights end-to-end auditing and analytics as important parts of its approach, stating that process auditing can provide data for continuous process improvement.
This makes automation an ongoing improvement process rather than a one-time technology project.
Benefits of Automated Legal Processes
When appropriately designed and governed, automated legal processes can provide several advantages.
Faster Response Times
Automated intake and routing can reduce delays between receiving a request and assigning it to the appropriate team.
Better Information
Structured intake can collect more complete information before a matter enters the legal workflow.
Reduced Administrative Work
Automation can handle repetitive tasks and reduce manual data entry.
Improved Visibility
Tracking and analytics can give legal leaders better insight into department workload and process performance.
Better Employee Experience
A unified self-service entry point can make it easier for employees to find information or request legal assistance.
Scalable Operations
Automation can help legal departments manage increasing demand without relying solely on additional manual resources.
How to Implement an Automated Legal Process
Organizations should approach legal automation strategically.
Identify High-Volume Processes
Start with repetitive processes that consume significant amounts of time.
Map the Existing Workflow
Document each step, including who performs it, what information is required, and where delays occur.
Improve Intake
Make sure requests provide enough information for effective triage and processing.
Determine What to Automate
Not every legal decision should be automated. Focus on repetitive, rules-based, and administrative activities where automation can provide clear value.
Add Human Escalation
Complex or high-risk matters should have a clear path to qualified legal professionals.
Measure Performance
Track turnaround times, request volumes, escalation rates, and other relevant metrics.
Continuously Improve
Use analytics and user feedback to refine workflows over time.
The Future of Automated Legal Processes
The future of legal operations is likely to involve increasingly connected combinations of artificial intelligence, self-service, workflow automation, knowledge management, and analytics.
MyLegal's vision for LiSA illustrates this direction. Rather than treating generative AI as a standalone chatbot, the company combines AI-powered legal assistance with an enterprise-grade automation platform capable of formal process management, routing, auditing, and analytics.
This integrated approach can help legal departments move beyond simply digitizing existing manual processes. Instead, organizations can redesign how legal services are delivered.
The result can be a more scalable model in which employees receive faster assistance, routine work is handled more efficiently, and lawyers can concentrate on complex matters requiring professional judgment.
Conclusion
An automated legal process can transform how modern corporate legal departments manage requests and deliver services. By combining structured intake, artificial intelligence, self-service, workflow automation, intelligent routing, escalation, auditing, and analytics, organizations can reduce repetitive administrative work and create more efficient legal operations.
MyLegal's LiSA demonstrates an integrated approach to legal automation. According to the company, LiSA can support self-service, accept requests through chat or forms, provide information from an approved knowledge corpus, escalate complex matters, and connect intake with formal automated processes.
For organizations considering legal process automation, the key is to look beyond the chatbot or individual workflow. Effective automation connects the entire process—from the initial employee request to triage, routing, legal review, resolution, and measurement.
When implemented with appropriate security, governance, and human oversight, automated legal processes can help legal departments become more responsive, efficient, measurable, and scalable while giving legal professionals more time to focus on high-value work.