The legal industry is one of the last outposts whereby the human experience is key; the skill of the lawyer is in the articulation of human language to convince and ultimately win a case for instance. The ‘law’ has history, precedents and most of all interpretation of ‘fact’, ‘evidence’ etc at its core. However, the application of cognitive computing may finally see this industry automating many of its ‘activities’ whereby machines understand many of the legal facets and produce meaning. The legal industry has to deal with vast documentation to derive facts and evidence and ultimately proof. These activities are undertaken by suitably qualified clerks and associates; cognitive computing can be applied to automate this work.
Some examples include:
- Case preparation; providing automation of the linking of key items within the documents required to take a case forwards to court
- Contract review; looking for risk and pitfalls within for instance M&A situations whereby large sets of documentation need to assessed
- Through ‘understanding’ previous case history and precedent legal research is being automated; with machine learning providing a report with citations
- Document Classification; with built-in ‘learning’ to provide increasing accuracy; all at incredibly high speed
- Fraud detection; through an understanding of vast data sets and linkages to highlight data that indicates a ‘fraudulent’ issue
There are many ‘use’ cases for the application of cognitive technology in the legal sector; providing opportunity to improve service, automate mundane tasks allowing legal professionals to focus on a new kind of client experience.
To learn more about how the Chatterbox Cognitive Engine can quickly create disruptive products in days visit our web site www.chatterbox.co or contact Andrew Watson, VP Strategic Alliances, firstname.lastname@example.org