Legal teams are discovering that their perfect match isn’t just smart people; it’s smart people working with robots and AI agents that actually get things done, says Tecala’s Shaun Leisegang.
As legal teams grapple with increasing complexity and dwindling resources, the future of law firms lies in a powerful alliance between human expertise, robotic process automation (RPA) and artificial intelligence (AI).
Historically, legal support functions have relied on manual processes or rigid, rules-based automation. While these methods have helped manage repetitive tasks, they are no longer sufficient in a world driven by rapid data growth and increasing regulatory scrutiny.
The next generation of legal services requires a dynamic triad: RPA bots to handle large-scale, rules-based activities; AI agents to process complex, decision-based work; and human professionals to apply judgment and ethical reasoning where necessary.
The role of robots
The first pillar of the new ‘legal dream team’ is robotic process automation (RPA). Contrary to the popular science fiction image, these robots are software-based tools designed to automate repetitive tasks by mimicking human interactions with digital systems.
RPA bots work using two methods: application programming interfaces (APIs) and user interface (UI) automation. When APIs are available, bots use them to seamlessly pull and push data across platforms. If not, bots can replicate user actions, such as clicking through screens, entering data, and extracting results, just as a human would.
A practical example is automating the workflow of a paralegal during a process for the intake of new cases. Paralegals regularly spend more than 30 minutes per day on routine investigations of corporate entities. By deploying an RPA bot for tasks such as Australian Business Number (ABN) lookups, ASIC searches and trademark verifications, the legal team can free up valuable time for higher-value activities.
The role of people
While RPA excels at structured tasks, people remain at the center of nuanced decision-making and oversight. In this new digital environment, people communicate with systems through digital process automation (DPA). This includes tools such as dynamic forms, data integrations and audit-ready workflows.
Consider, for example, the onboarding process of employees. A digital form collects information about applicants, which then triggers a workflow of assigning assessments to HR staff.
Once approved, the workflow generates contracts, enables digital signatures and even sets up user accounts. Behind the scenes, all steps are recorded for complete transparency and auditability.
Most importantly, workflows remain flexible and can be easily updated with drag-and-drop tools to adapt to changing business needs.
Enter AI agents
The most transformative development in legal technology is the rise of AI agents. These are intelligent digital workers who are capable of goal-oriented action.
Powered by secure generative AI models, these agents are equipped to observe, decide, act and learn. They represent a leap beyond RPA by managing unstructured data and making decisions on the fly.
An illustrative use case is contract review. Traditionally, legal teams manually reviewed master service agreements, compared them to standard terms and flagged discrepancies. This was not only time-consuming, but also prone to inattention.
AI agents can now automate this process. They record incoming contracts, compare clauses to internal standards, flag discrepancies, and propose negotiation strategies, escalating only truly ambiguous or risky terms to human lawyers.
One such agent, called Redlinr, combines document analysis with contextual awareness. By referencing a company’s standard agreement and comparing it to an incoming version, Redlinr generates a summary that highlights key differences, such as differences in indemnification or intellectual property clauses, and suggests actionable next steps. In low-risk scenarios, it can even approve changes without human intervention.
Building the ‘dream team’
How can legal departments embrace this trio of technologies? In many cases, the starting point is to identify use cases where automation or AI can deliver meaningful efficiency gains or risk reduction.
This is often followed by structured evaluations, assessing the feasibility, compliance requirements and potential impact of each idea. From there, small-scale pilots or proof-of-concept initiatives help validate the benefits before broader implementation.
This phased approach ensures that the right mix of tools – robots for repetitive actions, AI agents for intelligent decision-making and humans for supervision – are deployed in the right places.
The right time is now
The legal profession is at a pivotal moment and waiting for change is no longer an option. By embracing automation, AI and process management, legal teams not only increase efficiency and reduce risk, but also increase their strategic value to the wider business.
Whether it’s accelerating contract review, improving onboarding processes, or ensuring compliance, the legal “dream team” provides a model for modern legal operations. The future assistant at your law firm may not be a person, but he will be smarter than a robot, more agile than a script and able to learn like a human.
The era of the AI-enabled legal function has arrived. The only question left is: when will you start your journey?
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