Businesses sector-wide are bound to experience roadblocks on the way to digitising their processes, but the legal space itself has always had a propensity for preferring paper and printouts over most others. There is a belief that firms are alarmingly behind when considering their digital preparedness.
For legal practices and firms, the ability to simultaneously manage and oversee the progress of multiple cases and disputes relies on using resources effectively while being a resilient manager. Naturally, many of the typical and expected tasks within a legal setting will consume hours of valuable time, and it’s up to the firm to allocate resources to ensure optimum performance and efficiency. Experienced legal professionals need to be positioned as the drivers of a law firm’s success, but there are only so many tasks that they can fulfil at any given time.
The methodical integration of technology that augments teams and liberates experts from arduous, resource-intensive, and time-consuming tasks is crucial. The advent of automation and AI-powered advancements in technology present a beacon of hope for law firms facing digitisation challenges, enabling them to streamline operations and optimise their resources.
This short guide examines how this technology can enhance a firm’s productivity and efficiency.
Common factors influencing legal challenges and disputes
Any legal SME is likely experiencing a complex web of varying challenges, disputes, and cases. These will often range from straightforward employment dismissals and complaints to highly intricate business acquisitions, mergers, takeovers, or legal representation on behalf of a serious personal injury case.
Legal professionals will often espouse how difficult it is to give accurate timescales and estimates for completion. Several factors can contribute to the length and complexity of legal matters in any given firm, including (but not limited to):
- The nature of the legal issue: Certain legal issues are inherently more complex than others, requiring legal experts to delve deeper into historical data and research extensively.
- The volume of documentation and evidence: Legal cases often involve a vast amount of physical documentation and evidence, which can be overwhelming to manage and analyse without sufficient storage, systems and processes.
- The number of parties involved: Complicated and sensitive legal disputes may involve multiple parties, each with their own unique interests and perspectives, adding layers of complexity, and time to the estimated resolution date.
- The jurisdiction and applicable laws: Legal proceedings are governed by specific jurisdictions, bodies, and applicable laws, which can vary significantly and introduce additional complexities.
Fundamentally, legal cases require heavy manual oversight and influence, which is likely to stay the same. However, a common theme throughout is establishing how experts can still apply their expertise while leveraging technology successfully, to the point where the most time-intensive processes are entrusted to algorithms and software.
Bridging gaps with automation
The phenomenon of automation has emerged as a scalable technological solution to bridge ever-expanding time gaps that occupy the legal space. Particularly in recent years, as AI (artificial intelligence) has exploded in popularity despite its controversial usage, businesses are seeking ways to ethically utilise automation tools and AI assistants to streamline workflows.
Embracing automation in the legal sector offers several advantages, to name a few:
- Automation can handle repetitive and mundane tasks, such as document generation, data entry, and case scheduling, freeing up a professional’s time to focus on higher-value strategic work.
- Automated processes are less prone to human error, ensuring greater accuracy and consistency in legal documentation and case management.
- Automation can facilitate seamless real-time communication and collaboration among legal teams, clients, and external parties, streamlining the exchange of information and expediting approvals.
- Automation tools can provide centralised platforms for managing all aspects of legal cases, from initial intake to final resolution, enhancing visibility and control.
The fact remains that automation powers many innovative new tools and solutions available to companies across a broad spectrum of sectors. Whether it’s first-tier customer service exchanges, facility fulfilment, order distribution, or content generation en masse, automation is at the heart of many time-saving incentives.
Leveraging technology for a smooth and efficient legal process
The legal sector is no stranger to technological advancements that help firms streamline operations and improve efficiency.
One notable example is electronic document management (EDM) systems, which provide centralised legal document storage and management controls. Legal firms can reduce the hefty burden of paper-based filing and access documents with ease via a secure, centralised portal, with sensitive data encrypted on request.
By extension, case management software also provides a similar level of accessibility for legal firms that have a geographically dispersed workforce. As more firms embrace remote and hybrid working, cloud-based case management software provides a straightforward workaround for accessing sensitive files, as well as scheduling cases and tasks and collaborating on documents in real-time.
Artificial intelligence and its sister technology – machine learning, or ML – are at the heart of many new solutions that are being spearheaded by companies looking to help legal firms overcome efficiency blockers. AI/ML as a solution is already being utilised across various legal applications, such as:
- Contract reviews and digital signature collection
- Document analysis and summation
- Legal research across approved databases
- Enhance predictive analytics
- Improve decision-making
- Facilitate communication among teams and stakeholders
- Digitise paperwork and evidence
- Recruit and onboard new talent, from paralegals to full-time sector specialists
- Scheduling appointments and meetings
- Generating documents and legal correspondence
- Tracking case progress
- E-discovery processes to obtain non-privileged case or claim information
Although leaders and governments worldwide are trying to agree on an ethical model for successful business AI use, the inherent purpose of AI/ML remains the same. Any AI-powered programme will instinctively try to recognise patterns and learn them in any given context, which is why human oversight and supervision are still crucial.
We are currently experiencing some groundbreaking stages in the development of generative AI and the availability of open-source AI tools, which suggests that the market is prime for continued investment and growth. Therefore, ignoring AI completely would be neglecting powerful opportunities to improve legal operations and streamline productivity across your infrastructure.
However, as with any legal case, legal firms must tread carefully. Firms that do not consider an AI tool’s effectiveness in their own premises will risk deploying models that do not serve true value to them, thus, testing and refinement are pivotal. Integrating AI within a business relies heavily on choosing which areas need the most amount of augmentation and support, rather than adopting a widespread, cross-departmental model.
Legal firms will need to continually address common concerns and questions about AI and automation within their infrastructure, as the arguments about job security and cost savings continue to run rampant. So expecting such an integration to be met without delay or rebuttal is ambitious, at best.
It’s clear to see that embracing innovative technology can empower law firms and assist them in overcoming common challenges. However, it’s wise to consider the wider short- and long-term implications of their chosen method and scale of automation integration, as this will dictate how successful this inevitable move will be.
Dakota Murphey is a freelance writer based in the UK. She has more than 15 years’ experience creating engaging and original content for a number of authoritative sites. Dakota covers topics ranging from sustainability, travel and photography to business development, digital marketing and cybersecurity/AI.