AI

The next stage in legal innovation: What AI really means for legal professionals

By Michelle Spencer, Legal Technology Expert, NetDocuments

Agentic AI is quickly reshaping the conversation around legal technologyย โ€“ย leaving manyย legal teams excited and intimidated in equal measure.ย Agentic AIย takes automation one step further and can independently analyseย and act on complex legal tasks โ€“ cutting costs and boosting efficiencyย for law firms.ย ย 

This will increasingly make aย tangible impact โ€“ย Gartnerย predicts 33% of enterprise software applications will include agentic AI by 2028, enabling 15% of day-to-day work decisions to be made autonomously.ย 

The shift toward agentic systems canย open upย an unprecedented level of innovation for law firms. The expectations are sky high, but firms will also need to consider the impact on control and accountability across legal workflows โ€“ and how to implement agentic AI systems effectively within existing legal processes.ย ย 

Exploring the opportunitiesย 

The opportunity for AI to drive productivity is clear โ€“ with a recent survey by Goldman Sachs showingย almost half of legal tasksย are ripe for automation. However, until recently, solutions have been limited to chatbots or surface-level tools that provide generic responses, meaning they lack the depth and precision legal professionalsย require.ย ย 

Legal work is complex by nature. Whetherย itโ€™sย revising a contract, updating complianceย clausesย or managing redlines across multiple document versions, teams often switch between tools and sift through files.ย Maintainingย pinpoint accuracy is crucial, but with each manual step the risk for error increases.ย ย ย ย 

Legal work can also be hugely time-consuming. Some document editing tasks, such as inserting arbitration provisions,ย modifyingย confidentiality language or ensuring data privacy compliance, require multiple checks and updates to be made inย different places.ย ย 

In each case, the real burdenย isnโ€™tย just the legal thinking โ€“ย itโ€™sย the time lost searching for documents,ย locatingย all edit points, draftingย changesย and verifying consistency.ย 

Where agentic AI can make a differenceย 

This is where agentic AI moves from being a helpful tool to an operational imperative. Unlike traditional AI that simply suggests edits or answers questions, agentic AIย takes action. It can open documents, apply structuredย changesย and prompt final review autonomously.ย ย 

This means it can handle the repetitive mechanics of legal work, leaving professionals to focus on the delivery of legal services, building client relationships and strategic thinking. The key difference is autonomy โ€“ acting within a legal workflow while stillย operatingย under human oversight.ย 

As legal work becomes more complex and data-intensive, firms need to move beyond static tools, toward systems that can adapt,ย respondย and act with minimal friction. Thisย doesnโ€™tย mean replacingย lawyers, butย empowering them toย accomplishย more with less effort. Byย shifting toward AI that can understandย and alsoย execute, firms can streamline operations, reduce administrativeย burdenย and focus more on strategic high-value work.ย ย 

Integrating agentic AI into a DMSย 

For legal teams, the real power of agentic AI lies inย whereย it’sย deployed. Embedding AI in your document management system (DMS), instead of accessing it through a general chatbot, is what makes it context-aware,ย secureย and transformative. By embracing the following steps, law firms can make a head start on the next level of AI transformation for the legal sector:ย 

  • Prioritise context: Ensure the AI has access to your matter documents,ย templatesย and precedent libraries so it can act with informed precision.ย 
  • Harnessย built-in security: Use agentic AI within your existing DMS infrastructure toย maintainย compliance with confidentiality, data privacy, and audit standards.ย 
  • Automate key workflows: Deploy agentic features like clause redlining, versionย comparisonย andย extraction of key data pointsย to reduce manual input and streamline document cycles.ย 
  • Build and extend your tools:ย Explore user-friendlyย platformsย to create firm-specific tools and workflows that the AI canย operateย autonomously.ย 
  • Keep humans in control: Design the AI to suggest andย act butย always provide review points and audit trails toย maintainย legal oversight.ย 

Taking legal AI to the next levelย ย 

Agentic AI marks aย significantย shift inย how legal professionalsย will get their work done.ย By offloading the repetitive, data-driven tasks that drain time and attention, agentic AI freesย upย legal professionals toย focusย onย higher value tasks and driving greater client value.ย 

When pairedย withย no-code app builders and powerful AI search tools, agentic AIย can transformย a traditional DMS into something far more valuableย โ€“ย a proactive, intelligent legal workspace. It becomes a trusted digital coworker thatย doesnโ€™tย just store documents but helps deliver high-quality work product with greater speed and precision.ย 

As agentic systems mature and integrations deepen, the legal sector willย transformย beyond simply querying AI to confidently delegating end-to-end tasks. That transitionย โ€“ย from passiveย assistanceย to active executionย โ€“ย is what will define the next era of legal technology.ย ย 

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