Legal and related associate professionals perform support functions in courts of law or in law offices, provide services related to such legal matters as insurance contracts,
the transferring of property and the granting of loans and other financial transactions, or conduct investigation for clients (ILO, 2018).

RISK PROBABILITY BASED ON THE SEMINAL FREY AND OSBORNE STUDY

PROFESSIONAL GROUP CHARACTERISTICS AND SIMILAR OCCUPATIONS

Legal, Social and Religious Associate Professionals

Legal, social and religious associate professionals provide technical and practical services and support functions in legal processes and investigations, social and community assistance programmes and religious activities (ILO, 2018). 

  • Legal and Related Associate Professionals
  • Social Work Associate Professionals
  • Religious Associate Professionals
  • Bailiff
  • Conveyancing clerk
  • Court clerk
  • Judge’s clerk
  • Justice of the peace
  • Law clerk
  • Legal assistant
  • Paralegal
  • Title searcher

BACKGROUND INFORMATION

In the discovery phase of a lawsuit, lawyers and paralegals can be required to sift through thousands, even tens of thousands of documents depending on the case. Now, sophisticated databases can use big data techniques including syntactic analysis and keyword recognition to accomplish the same tasks in much less time.

 In fact, it’s likely that a Watson-style machine learning system could be legally “trained” to review precedent and case history and even draft legal briefs — which has traditionally been the job of lower level law firm associates. But it is not only the lowly junior associates whose jobs are at risk: a statistical model created by researchers at Michigan State University and South Texas College of Law was able to predict the outcome of almost 71 percent of U.S. Supreme Court cases (see case example below).

The artificial-intelligence platforms dramatically affect how legal work gets done. These platforms will mine documents for evidence that will be useful in litigation, to review and create contracts, raise red flags within companies to identify potential fraud and other misconduct or do legal research and perform due diligence before corporate acquisitions. 

CASE EXAMPLES

Using data to predict Supreme Court’s decisions:

Michigan State University law professor Daniel Martin Katz and his colleagues have created an algorithm that has accurately predicted 70 percent of the Supreme Court’s overall decisions, and 71 percent of the votes of individual justices — more robust results than any other predictive study done to date. Applying various techniques from machine learning, the algorithm takes into account dozens of variables before it makes a prediction.

 

 

LawGeex’s artificial intelligence engine reads and analyzes incoming contracts, suggesting edits based on a company’s pre-defined legal policies. Contracts that meet these policies can be automatically approved within an hour. Contracts that don’t align with the policies are escalated for guided editing and approval.

Though River is an initial assessment AI platform build specifically for analyzing contracts, utilizing Natural Language Processing which allows companies to judge their relative level  of contractual risks from millions of contracts based on the software’s analysis  of  contractual position, wording and context so that the company could focus their legal efforts only on the more high value ones. 

 Thoughtiver

Artificial intelligence disrupting the business of law

Categories: Skill Level 3