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How AI improves efficiency in legal case management

Access Legal suggests some key strategic and productivity advantages and promising emerging use cases for SME firms, as well as specific actions to get started

Clare Bonsall|Head of product, Access Legal|

Law firms are facing mounting pressure to manage complex workloads, meet tight deadlines, and deliver excellent client service. To address these challenges many firms are turning to AI to streamline case management, improve efficiency, and enhance client satisfaction.

The role of AI in case management

By automating time-consuming tasks and analysing large volumes of data AI is freeing lawyers to focus on higher-value activities like client interaction and case strategy. Currently, 44% of legal professionals are using AI tools, yet many firms are still not fully harnessing their potential, despite 79% of firms recognising the benefits AI offers. AI tools designed for the legal sector can simplify tasks such as document analysis, case organisation, and client communication.

Key benefits of AI in case management

  1. Time savings. AI can save valuable time by automating repetitive tasks like data entry, document review, and case file organisation. For example, AI can process hundreds of pages of evidence in minutes — tasks that would normally take hours. This enables legal teams to focus on higher-priority work, such as developing case strategies and advising clients.
  2. Improved productivity. By automating tasks like legal research, document management, and compliance tracking, AI boosts productivity across the firm. With fewer admin duties, lawyers can focus on strategic work, building client relationships, and delivering better case outcomes.
  3. Enhanced accuracy. In the legal sector accuracy is crucial, and even small errors can have significant consequences. AI helps to ensure precision by automating key tasks such as data validation and document drafting. It flags risks, identifies inconsistencies, and helps firms meet deadlines and procedural requirements.
  4. Better client satisfaction. AI improves client service by automating updates, streamlining communication, and providing real-time insights into case progress. AI can even analyse client communications for signs of dissatisfaction, allowing lawyers to address concerns before they escalate. By reducing admin work, AI gives legal professionals more time to offer personalised service and build stronger client relationships.

Practical steps to implement AI in case management

Integrating AI into case management doesn’t have to be overwhelming. Start with manageable steps:

  1. Case intake and file opening. Simplify the intake process by automating tasks like checking for conflicts of interest and ensuring compliance, reducing human error from the outset.
  2. Client intake and care. Summarise client meeting notes and generate tailored communications with AI. In sensitive cases, AI tools can assess and flag the tone of client interactions, enabling law firms to respond with empathy and build stronger relationships.
  3. Case planning. Analyse case documents, summarise key points, and identify relevant precedents, allowing lawyers to make data-driven decisions early on.
  4. Document and evidence management. AI organises and categorises documents, extracts key information, and identifies inconsistencies, speeding up the review process and ensuring critical details are not missed.
  5. Legal research and analysis. Retrieve relevant statutes, case law, and precedents quickly by asking AI. It can also generate summaries and draft arguments, allowing legal professionals to focus on tailoring strategies for their clients.
  6. Client updates and strategy adjustments. Automate client progress reports and gather feedback, allowing law firms to quickly adjust strategies based on client input. This improves communication and strengthens trust.
  7. Court filings and compliance. AI improves the efficiency of court filings by ensuring deadlines are met and documents are correctly filed, reducing the risk of costly mistakes.
  8. Post-trial actions and file closure. After a case concludes, AI can automate post-trial tasks such as invoicing, report generation, and file archiving, enabling law firms to move on to new cases with ease.

Getting started with AI in case management

Start small

Focus on areas with the greatest potential for impact, such as document management or deadline tracking. These tasks are common pain points in legal workflows and offer quick wins.

Choose the right tools

Select AI tools that are tailored to the legal sector. Specialised case management software offers the necessary functionality and compliance support to meet the unique needs of law firms.

Invest in training

Offering training ensures your staff can confidently use AI tools, maximising the technology’s benefits and improving adoption within your firm.

The future of AI in legal case management

AI is here to handle admin tasks, not replace the expertise of legal professionals. By automating routine work and leveraging data-driven insights, AI allows lawyers to focus on what they do best — representing their clients. By gradually integrating AI into your practice, your firm can experience measurable benefits and stay competitive.

For further guidance on getting started with AI, explore our AI in Legal content hub or speak to one of our experts.

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