Overview of Edgar Alan Rayo, “AI in Law and Legal Practice—A Current Comprehesive View of 35 Current Applications,” Tech Emergence, Last updated 11/29/2017.
Where AI Tools Are Already Used in the Legal Industry
• Legal research
• Electronic discovery
• Assisting lawyers perform due diligence through the use of AI tools that uncover background material.
• Contract reviews and lease abstractions, completed light years faster with greater accuracy; some performing these reviews in up to 20 languages.
• Legal analytics: “providing insights” and evaluations
• Validating contracts within specific guidelines and making suggestions for editing and approval. (LawGeex https://www.lawgeex.com/)
• In addition to contract reviews, can handle portfolio reviews and investigations for “improved risk management.” (ThoughtRiver)
• Improving speed and accuracy.
• Document automation: long predicted but finally significant.
• Intellectual property (“analyzing large portfolios” and guiding lawyers to insights from the outcome.
• Predicting “litigation outcomes.”
• Computing billable hours.
• Organizing data.
• In this age when clients are less willing to pay for legal research costs, Ross Intelligence software can summarize relevant cases and information, provide recommended readings, related case law and secondary sources. https://rossintelligence.com/
• Forecast opposing counsel’s arguments by finding lawyers previously relied upon arguments. (Casetext’s CARA https://casetext.com/).
• Combine the functions of project management software with the capabilites of performing e-Discovery. Exterro’s Fusion WhatSun
• Ravel Law aids lawyers in understanding how a particular judge is likely to rule on a case. http://ravellaw.com/products/
• Lex Machina’s Legal Analytics Platform assists in legal strategy, analyzes judges, parties and courts, assists with competive intelligence and can size up the parties in the matter. https://lexmachina.com/legal-analytics/
• Settlement Analytics, still admits that these technologies can have limitations and be more “error-prone than is generally acknowledged.” https://settlementanalytics.com/wp-content/uploads/2016/09/When-Big-Legal-Data-Isnt-Big-Enough-Limitations-in-Legal-Data-Analytics.pdf “Legal data must be able to distinguish between the inherent randomness in historical data samples and statistically meaningful legal track records.” They take into account the pitfalls of big data and can distinguish between “Data Signal or Data Noise.”
• Document automation has long been predicted an advantage of networks and now can be realized. Documents that took days to piece together through human labor are now created in minutes through use of templates and streamlined processes, as through Neota Logic Systems claims for its PerfectNDA software creation of nondisclosure documents. They offer a “reasoning engine.”
• There are a variety of Intellectual Property AI solutions:
- Trademark Now decreases the amount of time necessary for searches for patents, registered products and trademark. https://www.trademarknow.com/
- Drafting Solutions available through ANAQUA Studio
https://www.anaqua.com/corporate/products/anaqua-studio through their Data Filing Sheets.
- SmartShell by Turbo Patent speeds up the research and document retrieval from paralegals. https://turbopatent.com/smartshell/
• Of course, there are billing solutions,
- Brightflag https://brightflag.com/product
- Smokeflag automatically records your time.
The Tech Emergence article also looks at the down side to some of these solutions and how they may be realistically applied to “streamline the legal landscape.” Law students graduating now will no doubt be encountering and embracing the most efficient of these tools.
If this topic intrigues you, you will want to follow the Tech Emergence website which also provides an “Artificial Intelligence Podcast.”
Edgar Alan Rayo, “AI in Law and Legal Practice—A Current Comprehesive View of 35 Current Applications,”
Tech Emergence, Last updated 11/29/2017, https://www.techemergence.com/ai-in-law-legal-practice-current-applications/
Daniel Faggella & Gary Sangha, "Applying Computational Linguistics to Streamline the Legal Landscape," https://www.techemergence.com/applying-computational-linguistics-to-streamline-the-legal-landscape/
Daniel Faggella & Richard Downe, "What Can Machines Do That Lawyers Can’t: A.I. Applications for Law"
Julie Sobowale, "Beyond Imagination: How Artificial Intelligence is Transforming the Legal Profession, ABA J., April 2016, at 47-53.
"Richard Susskind on the Future of Law," https://blog.oup.com/2017/08/richard-susskind-law-vox-future-of-law
Richard Susskind & Daniel Susskind, The Future of the Professions: How Technology Will Transform the Work of Human Experts (2017).
(On order for the CWRU Law Library)