Utilising AI To Adapt & Improve Current Legal PracticesUtilising AI To Adapt & Improve Current Legal Practices
Utilising AI To Adapt & Improve Current Legal Practices
May 30, 2019
by Paul Sachs
LONDON - Courts and legal teams are more overstretched than ever. Suffering from inefficiency and slow processes, thecurrent system cannot keep up with demand. A briefing by the House of Commons found that atthe end of 2017 there was a backlog of 297,000 outstandingcases in the UK Magistrates Courts, highlighting the crucial need for something tochange.
This is where artificial intelligence (AI) can offer a solution. By optimising current work flows, AI technologies provide practical support that saves time, removes drudgery and increases the reliability of the legal system.
The good news is AI is no longer considered just the prerogative of big tech companies. With Microsoft’s Azure platform, businesses of all sizes can access cognitive services and drive efficient practices within the legal sector.
More commonly understood features such as speech recognition and language detection, are joined by text analytics and image recognition. These technologies are practical, rather than futuristic, but have the potential to greatly improve the speed and delivery of justice.
To begin, a significant amount of time is spent by legal teamsanalysing and sorting through documents, often caught up in lengthydue-diligence processes before a case even enters a courtroom. AI can assist inspeeding up these proceedings. By scanning entire bundles, AI can search forspecific information, whilst also highlighting and removing duplicatedocuments. With the ability to recognise both typed and handwritten text,common shapes and even detect faces in images, this technology can cut the timeit takes to prepare a case for court.
A reliance on manual searches of paper documents requiringredaction can introduce a risk to the security of the trial system, especiallywhen dealing with highly sensitive cases. AI in comparison can ensure alldocuments within the bundle are searched and appropriately redacted. Thisremoves any instance of human error where confidential information is beinghandled.
Image and video recognition can further enhance trial preparationfor legal teams. Instead of spending hours sifting through video evidence,image-processing algorithms can be used to detect objects, scenes and activityand caption and index pictures and videos to be used as evidence in court. Bycombining this process with speech and language sensing capabilities, spokenaudio can be instantly converted into written text and evaluated for sentiment.These features speed up the exploration of evidence and free-up lawyers tofocus on the more strategic aspects of their work. They also enable a morein-depth analysis of multi-media files which can only benefit the delivery ofjustice.
Embracing AI in the courtroom can also rapidly increase the efficiencyof bilingual courts. For example, in the Middle East Judicial System, all documents brought before court arerequired to be presented in both Arabic and English. Whilst the court providesapproved translators, the high number of cases means that they are often overwhelmed,and the speed of justice is impacted.
With the introduction of AI, entire documents can be translated atease. At the beginning of the year this feature was demonstrated by CaseLines ina Middle Eastern Jurisdiction when an eighty-page document was translated injust a matter of seconds. The number of man hours that this already saves as astarting point is substantial. The reviews by a member of the legal team willonly take a matter of hours, rather than days and significantly reduce the paid-formanpower attached to the process.
Claimants going before courts in the Middle East Judicial System oftenpay for their own translations in a bid to speed the process up, but thesedocuments are regularly dismissed in court as they have not been produced by anapproved source. By adopting a platform with the capacity to centrally translateentire case bundles, courts will see notable time and cost savings.
Related: Making AI work for legal firms
Going forward, new developments including the production of word maps and timelines will continue to enhance the quality and speed of justice delivered in the court room. By drawing out key themes and linking them between documents in a chronological manner, these tools will enable legal teams to understand the complexities of a case far quicker. With time in short supply, practical applications which can breakdown and map complex information almost instantaneously will become essential for everyone involved in the judicial process.
Advancements made through the rise of AI applications hold great potential for the modernisation of the legal system, but they must be centred on advancing current working practices. In the case of the legal sector, significant cuts have already been made which has left a substantial disconnect between workforce capacity and industry demand.
In such an overstretched system, AI provides a low-cost solution with the capacity to deliver a far more efficient and secure justice system. Ultimately, a successful system doesn’t replace the human element, it acts to enhance it.
Paul Sachs isa leading expert in the field of legal technology, as well as the founder andCTO of digital evidence management platform CaseLines.