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The Legal Innovation Agenda in Vectors and Phases daniel martin katz blog | ComputationalLegalStudies.com corp | LexPredict.com edu | illinois tech - chicago kent law lab | TheLawLab.com #MakeLawBetter page | DanielMartinKatz.com

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MY OPENING STATEMENT

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IS THE MOST TRIVIALLY OBVIOUS OF ALL OBSERVATIONS

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AT ALL LEVELS …

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AND NOTWITHSTANDING THE SUBMARKET IN QUESTION …

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LAW IS FAILING TO DELIVER VALUE COMMENSURATE WITH THE COSTS WE IMPOSE …

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THERE ARE MANY REASONS FOR THE CHALLENGES WE FACE …

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BUT I THINK THE MOST SIMPLE EXPLANATION IS THAT …

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THIS IS A FIELD HISTORICALLY CENTERED AROUND SUBJECT MATTER EXPERTISE

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AND *NOT* FOCUSED ON OPERATIONAL EXCELLENCE

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SO OUR CONVERSATION IS *NOT* ABOUT THE CONTENT OF ANY PARTICULAR LEGAL RULE …

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INSTEAD THIS IS ABOUT HOW WE CAN CONTINUE TO … #MAKELAWBETTER

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BECAUSE NOTWITHSTANDING THE CHALLENGES

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IT IS NOT ALL DOOM AND GLOOM …

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THERE ARE GREEN SHOOTS

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THERE ARE AN INCREASING NUMBER OF FOLKS …

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WORKING GLOBALLY … WORKING DOMESTICALLY …

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TO ADVANCE THE LEGAL INNOVATION AGENDA

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I WOULD BE REMISS IF I DID NOT MENTION THIS EVENT WHICH RECENTLY TOOK PLACE …

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22 COUNTRIES 40 PARTICIPATING CITIES 600+ HACKATHON TEAMS ~5000 PARTICIPANTS GLOBALLY

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I THINK IT JUST ONE OF MANY SIGNALS THAT INDICATE THAT THERE IS A REAL APPETITE FOR CHANGE

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BY WAY OF INTRODUCTION

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I AM AN ACADEMIC

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I AM A SCIENTIST & TECHNOLOGIST

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I AM A SCIENTIST & TECHNOLOGIST

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I AM A TEACHER

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LexPredict.com CONSULTANT & ADVISOR TO THE FORTUNE 1000, AM LAW 200, LEGAL TECH STARTUPS, ETC.

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I AM IN THE LEGAL INNOVATION AND VENTURE SPACE AS AN ADVISOR

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LexPredict.com I AM AN EMPLOYER 15+ TEAM MEMBERS

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I MENTION ALL OF THIS ONLY SO THAT YOU MIGHT BE ABLE TO ORIENT SOME OF MY COMMENTARY

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AND UNDERSTAND THAT I AM *NOT* A MERE SPECTATOR OR COMMENTATOR BUT RATHER AN ACTIVE PARTICIPANT … #SKININTHEGAME

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SO TODAY ALLOW ME TO SHARE SOME OF MY NOTES FROM THE FIELD

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THE LEGAL INNOVATION AGENDA

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WHEN WE TALK ABOUT ‘INNOVATION’ IN LEGAL …

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THE ROBOT LAWYERS NARRATIVE IS THE FAVORITE STORY IN THE MEDIA

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THERE IS MUCH MORE TO THE LEGAL INNOVATION CONVERSATION

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IN OTHER WORDS, #LEGALINNOVATION IS FAR BROADER THAN JUST #LEGALTECH PER SE

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LEGAL INNOVATION LEGAL TECH

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LEGAL INNOVATION CAN BE DECOMPOSED INTO AT LEAST SIX VECTORS

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SIX VECTORS OF LEGAL INNOVATION

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PROCESS IMPROVEMENT A.I. + LEGAL ANALYTICS HUMAN CAPITAL + CULTURE INTELLIGENT MONETIZATION MARKET(S) STRUCTURE + DYNAMICS PRODUCTIZATION AND SCALE

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MARKET(S) STRUCTURE

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OF COURSE THERE IS NO LEGAL ‘MARKET’ PER SE BUT RATHER A SET OF SUBMARKETS

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(VISUAL VIA BILL HENDERSON)

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Service The Nature of the Offering Type of Client (Prototypical) (Product + Service) Hybrid Product Fortune 1000 Mid Cap Companies Retail A2J THE MARKET(S) IN LAW

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ALTHOUGH A MORE NUANCED ACCOUNT COULD BE OFFERED FOR EACH SUBMARKET

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IN GENERAL, THE INCUMBENTS ARE UNDER ATTACK FROM VARIOUS DIRECTIONS … #DEATHBY1000CUTS

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NOT ONE SINGLE ‘DISRUPTOR’ BUT RATHER THE SUM OF VARIOUS DISRUPTIVE TRENDS #DEATHBY1000CUTS

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OBVIOUSLY LAW FIRMS ARE ALWAYS COMPETING AGAINST OTHER LAW FIRMS …

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THE (OTHER) COMPETITORS (i.e. the entities folks might not see)

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BIG 4 LPO’S #LEGALTECH CLIENTS

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BIG 4 LPO’S #LEGALTECH CLIENTS

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"This reflects the remarkable rate of change taking place in the legal market," said Liam Brown, Founder and Chairman of Elevate, "and it demonstrates that Elevate has assembled the right team at the right time to help our clients address the complex business challenges and unprecedented cost pressures they face.

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It has $300+ million in revenue in 2016 The equivalent of an AMLaw 100 Law Firm

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2000+ total employees

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LABOR ARBITRAGE PROCESS ARBITRAGE DATA / TECHNOLOGY INTEGRATION LADDER TO A FULL PLATFORM SOLUTION

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BIG 4 LPO’S #LEGALTECH CLIENTS

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LEX.STARTUP

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OVER THE PAST FEW YEARS, WE HAVE SEEN SIGNIFICANT GROWTH IN THE SHEER NUMBER OF STARTUPS …

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THERE ARE A VARIETY OF DIFFERENT LISTS

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ANGELLIST 749+ ‘LEGAL TECH’ COMPANIES 1800+ IF YOU ONLY SEARCH UNDER ‘LEGAL’ HTTPS://ANGEL.CO/COMPANIES? MARKETS%5B%5D=LEGAL+TECH

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tech.law.stanford.edu STANFORD CODEX LIST 790+ COMPANIES

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691 COMPANIES ON THIS LIST INCLUDING MY COMPANY WHICH IS NOT INCLUDED ON THE OTHER TWO LISTS THEREFORE BOB’S 
 LIST IS THE BEST LIST :) https://www.lawsitesblog.com/2016/04/towards- accurate-listing-legal-tech-startups.html

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THINGS ARE HEATING UP ON THE CONTINENT AS WELL BEYOND US + UK

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FRENCH LEGAL TECH GERMAN LEGAL TECH

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BELGIUM LEGAL TECH DUTCH LEGAL TECH

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AND BEYOND …

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AUSTRALIA LEGAL TECH ISRAEL LEGAL TECH

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AFRICAN LEGAL TECH http://legaltechafrica.co/startups/

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BRAZIL LEGAL TECH MEXICO LEGAL TECH

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ALTHOUGH LEGAL IS A RELATIVELY SMALL SECTOR OF THE ECONOMY

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WE HAVE HAD SOME WAVES OF VENTURE FUNDING …

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HERE ARE JUST A FEW EXAMPLES …

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5.8M SERIES A 2M SEED

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8.7M SERIES A 4.3M SEED ROUND

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12M SERIES B 7M SERIES A 1.8M SEED

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10.25M+ RAISED THUS FAR

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1M SERIES A 150K SEED

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20M SERIES C 7M PRIOR ROUNDS

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125M+ RAISED THUS FAR

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OF COURSE WE HAVE HAD A NUMBER OF FAILED COMPANIES #PARFORTHECOURSE

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BUT WE HAVE ALSO SEEN A NUMBER OF NOTABLE EXITS

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R e p o r t e d s a l e price between $35 million and $40 million. Final Number was likely between $80 - $100 million A n u m b e r o f venture capitalists have invested in t h e c o m p a n y , including Silicon Valley’s Sequoia C a p i t a l w h i c h invested $7 million in 2007 ....

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COLLECTIVELY THESE ENTITIES ARE DOING THE LION’S SHARE OF LEGAL INDUSTRY R + D

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AND THERE IS STILL PLENTY TO PLAY FOR …

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SIGNIFICANT AMOUNTS OF CAPITAL ARE COMING INTO THE MARKET IN JUST THE PAST MONTHS

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BIG 4 LPO’S #LEGALTECH CLIENTS

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EVERY CUSTOMER IN ANY SECTOR FACES THE DIY VS BUY DECISION

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~450 ~1200+ Number of Attendees Number of Attendees 2016 2017

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#cloc2017

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#cloc2018 2200+ Attendees

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Legal Operations

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Legal Operations

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Legal Operations

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SOME OTHER RELATED EXAMPLES

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36! “From!se)lement!informa0on!and! contracts! to! sensi0ve! client! data! and! beyond,! Liberty! Mutual! creates! and! stores! ever:growing! volumes! of! unorganized! data! across! its! worldwide! offices! and! databases.”! “I've!seen!a!real!transforma0on!in! the! legal! department! just! having! t h a t! i n f o r m a 0 o n! v i s u a l l y! available."! “The' legal' department' is' now' w o r k i n g' p r e d i c 7 v e' a n d' prescrip7ve' analy7cs,"' i.e.' ways' to' analyze' data' that' enable' forecas7ng'for'legal'issues.”'

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34!

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37! “I"believe"strongly"that"data"analy2cs"is" a"new"fron2er"in"the"legal"space.”" Susie!Lees! General!Counsel!! Allstate!! “Leveraging" data," not" only" that" we" possess" but" that" our" law" firms" have" amassed"over"the"years,"offers"a"plethora" of" un

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PRODUCTIZATION AND SCALE

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HISTORICALLY - LAW HAS BEEN A SERVICE BUSINESS THROUGH WHICH SUBJECT MATTER EXPERTISE IS DELIVERED

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HOWEVER, IT IS (SLOWLY) BECOMING MUCH MORE …

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Service The Nature of the Offering Type of Client (Prototypical) (Product + Service) Hybrid Product Fortune 1000 Mid Cap Companies Retail A2J THE MARKET(S) IN LAW

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The Nature of the Offering THE MARKET(S) in LAW Type of Client (Prototypical)

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PRODUCTIZATION OF LEGAL KNOWLEDGE

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PRODUCTIZED KNOWLEDGE IS WHAT THE BIG 4 DO BEST

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AMONG OTHER THINGS, PRODUCTS HELP WITH THE ‘JUST IN TIME’ IMPERATIVE (LABOR CANNOT SCALE INSTANTANEOUSLY)

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PRODUCTS ALSO HELP YOU CROSS-SELL SERVICES

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PRODUCTS MAKE YOU HARD TO GET RID OF …

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PRODUCT BUSINESS WILL TYPICALLY HAVE A HIGHER MULTIPLE (THAT IS NOT BY ACCIDENT)

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SO WHY DON’T WE SEE MORE SCALABLE TECHNOLOGY OFFERINGS CREATED BY LAW FIRMS ?

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TECH IS A CAPITAL INTENSIVE FIELD

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LAW FIRMS ARE PARTNERSHIPS AND GIVEN RULE 5.4 FIRMS CANNOT SHARE PROFITS WITH #NONLAWYERS WHERE #NONLAWYERS = HUMANS

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THIS IS THE ORIGINAL SIN OF LAW AS A BUSINESS …

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LAW FIRMS HAVE (1) NO REAL ASSETS (2) CASH ACCOUNTING THIS HAS LIMITED SCALE

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THIS HAS MADE ACCESS TO CAPITAL FAR MORE DIFFICULT

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THESE ARE THE HEADWINDS …

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HOWEVER, NOTWITHSTANDING EACH OF THESE ENTITIES (AS WELL AS OTHERS) ARE UNDERTAKING SOME SORT OF R+D OPERATION

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THE RACE IS ON …

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GIVEN MICRO- INCENTIVES MIGHT NEED TO CREATE A SEPARATE CAPITAL FUNDED R+D OPERATION

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WITH SOME NOTABLE EXCEPTIONS … THERE ARE SIMILAR SCALABILITY ISSUES IN OTHER SUBMARKETS

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PROCESS IMPROVEMENT

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THE INDUSTRIALIZATION OF THE ARTISAN

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ACROSS THE ECONOMY THERE ARE MANY EFFORTS TO CONVERT AN ARTISANAL PROCESS INTO AN INDUSTRIAL PROCESS

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WE WANT TO ENSURE THAT WE CAN MAINTAIN THE ARTISAN ELEMENTS THAT DO ADD VALUE

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WITH RESPECT TO A GIVEN PROCESS THERE IS OFTEN A SIGNIFICANT SPREAD Kim Craig from Seyfarth Lean Consulting

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RECENTLY MET WITH THE GENERAL COUNSEL OF A LARGE COMPANY WHO OVER PAST DECADE HAD REDUCED THE LEGAL EXPENDITURES OF THE COMPANY BY NEARLY 50% USING THE LEAN METHODOLOGY

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LEAN, SIX SIGMA AND OTHER PROCESS IMPROVEMENT METHODOLOGIES

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CAN HELP IMPROVE ALMOST EVERY SUBSECTOR IN LAW

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THE INTELLECTUAL ORIGINS CAN BE TRACED TO A MUCH EARLIER TIME

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THE INTELLECTUAL ORIGINS CAN BE TRACED TO A MUCH EARLIER TIME

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the toyota production system lean ideas lean for enterprises (white collar, etc.)

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CONVERT HIGH VOLATILITY PROCESS

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CONVERT HIGH VOLATILITY PROCESS INTO A LOWER VOLATILITY PROCESS

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WHAT YOU ARE LEFT WITH IS A VERY USEFUL ARTIFACT …

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THE PROCESS MAP

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IT CAN AID IN Increasing Response Times Predicting Resource Loads Coordination Across Stakeholders Increasing Margins on Work

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I AM VERY HAPPY TO HAVE THE CHANCE TO HELP CO-TEACH THIS CLASS

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SOME ADDITIONAL RESOURCES

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ARTIFICIAL INTELLIGENCE + LEGAL ANALYTICS

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THIS IS A TOPIC FOR WHICH I AM OFTEN CALLED UPON TO COMMENT

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AND FOR WHICH A FULL FLEDGED PRESENTATION COULD BE OFFERED …

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https://www.slideshare.net/Danielkatz/ artificial-intelligence-and-law-a-primer ACCESS MORE HERE

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ARTIFICIAL INTELLIGENCE IS A BROAD FIELD

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LETS LOOK AT THESE SPECIFIC SUBFIELDS

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data driven AI rules based AI

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EXPERT SYSTEMS

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http://www.reinventlawchannel.com/richard-susskind- future-of-artificial-intelligence-and-law RICHARD SUSSKIND DEVELOPED THE FIRST EXPERT SYSTEM IN LAW IN THE 1980’S

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HERE ARE SOME MORE CONTEMPORARY EXAMPLES …

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BUT THE BASIC IDEA IS TO ENCODE THE RULES THAT GOVERN A DECISION MAKING PROCESS AND TURN IT INTO SOFTWARE

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TURBOTAX IS THE MOST COMMERCIALLY SUCCESSFUL EXPERT SYSTEM OF ALL TIME (30+ MILLION USERS)

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(BUT WITH OTHER INCREASING INTERESTING CAPABILITIES) “DRAG + DROP A.I.” FOR BUILDING LEGAL EXPERT SYSTEMS

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EXPERT SYSTEMS FOR ACCESS TO JUSTICE #A2J #A2JAUTHOR DECISION TREE A2J AUTHOR www.a2jauthor.org Used over 3.5 Million times 2.1 Million Documents generated IMPACT

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EXPERT SYSTEMS WILL BECOME CHATBOTS (THUS HELPING BRIDGE THE DATA VS RULES DIVIDE)

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DATA DRIVEN A.I.

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THE ALTERNATIVE TO HARD CODING THE RULES IS TO LET DATA DO THE LIFTING …

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DATA DRIVEN A.I. = MACHINE LEARNING NATURAL LANGUAGE PROCESSING

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THE ULTIMATE GOAL IS TO PREDICT SOME CLASS OF LEGAL OUTCOMES

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HERE ARE JUST A FEW USE CASES IN LAW

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#Predict Relevant Documents Data Driven EDiscovery/Due Diligence (Predictive Coding)

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#Predict Relevant Documents Data Driven EDiscovery/Due Diligence (Predictive Coding) #Predict Contract Terms/Outcomes Data Driven Transactional Work

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#Predict Relevant Documents Data Driven EDiscovery/Due Diligence (Predictive Coding) #Predict Rogue Behavior Data Driven Compliance #Predict Contract Terms/Outcomes Data Driven Transactional Work

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#Predict Relevant Documents #Predict Case Outcomes / Costs Data Driven Legal Underwriting Data Driven EDiscovery/Due Diligence (Predictive Coding) #Predict Rogue Behavior Data Driven Compliance #Predict Contract Terms/Outcomes Data Driven Transactional Work

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#Predict Relevant Documents #Predict Case Outcomes / Costs Data Driven Legal Underwriting Data Driven EDiscovery/Due Diligence (Predictive Coding) #Predict Rogue Behavior Data Driven Compliance #Predict Contract Terms/Outcomes Data Driven Transactional Work #Predict Regulatory Outcomes Data Driven Lobbying, etc.

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IN MANY INSTANCES BLENDS OF INTELLIGENCE WILL OUTPERFORM A SINGLE STREAM OF INTELLIGENCE

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THE PSEUDOCODE OF OUR TIMES …

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HUMANS + MACHINES HUMANS OR MACHINES >

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Professor Katz noted …“We believe the blend of experts, crowds, and algorithms is the secret sauce for the whole thing.” May 2nd 2017

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THE STRUCTURE OF HOW THE WORK IS DONE

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A.I. Tool Suite (Legal) Data Scientist Subject Matter Expert(s) + +

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the path (hint: it’s hard to skip steps) Current State Assessment Strategic Planning Tool Selection Solution Design Descriptive Analytics Diagnostics Forecasting

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Simple Data Models Claim&Type& Statutes& Outcome& Payout& 00001& Employment&–& Single&Plain>ff&& Race& Title&VII& SeCled& $10,000& 00002& Employment&–& Single&Plain>ff&& Race& Title&VII& SeCled& $70,000& 00003& Employment&–& Single&Plain>ff&& Age& Title&VII& & Summary& Judgment& N/A& 00004& Employment&–& Single&Plain>ff&& Gender& Title&VII& & Dismissed& N/A& 00005& Employment&–& Single&Plain>ff&& Age& Title&VII& & Dismissed& N/A& 00006& Employment&–& Single&Plain>ff&& Disability& ADA&Title&III& SeCled& $21,000& Ma4er&No& Ma4er&Type& 00001& Employment&–& Single&Plain>ff&& 00002& Employment&–& Single&Plain>ff&& 00003& Employment&–& Single&Plain>ff&& 00004& Employment&–& Single&Plain>ff&& 00005& Employment&–& Single&Plain>ff&& 00006& Employment&–& Single&Plain>ff&& General Practice-Specific

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Complex Models Too Lawsuits Docket Record Related Disputes

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Fill in the gaps $10k Base Damages Claimed Filed in ‘Unfriendly’ Jurisdiction Conservative Appointed Judge Repeat Plaintiff’s Counsel $6.3k + $3.1k (Yes) - $4.4k (No) + $4.2k per case (<= 6 cases) + $0.40 per $1 claimed - $1.6k per case (7 < cases) Claim Type + $2.3k (Disability) - $7k (Age) Matter Management Matter Management Matter Management Outside Source [ ]

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Practice- Related Data Synthesis and Transformation Interface and Interaction Task Norms Collaboration Culture Coordination PuQng&It&Together&

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LET ME OFFER JUST A FEW OTHER OBSERVATIONS ON THE STATE OF A.I. AND LAW

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WE NEED MORE PEER REVIEWED VALIDATION STUDIES (1)

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AND LESS MARKETING MATERIAL

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THERE ARE AN INCREASING NUMBER OF RELEVANT ACADEMIC PAPERS (AND IN SOME CASES ASSOCIATED COMPANIES)

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“…I study choice of law by analyzing the nearly 1,000,000 contracts that have been disclosed to the Securities and Exchange Commission between 1996–2012.”

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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0174698 Katz DM, Bommarito MJ II, Blackman J (2017), A General Approach for Predicting the Behavior of the Supreme Court of the United States. PLoS ONE 12(4): e0174698.

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(2) ECONOMICS ASSOCIATED WITH LEGAL A.I. ARE RAPIDLY CHANGING

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MACHINE LEARNING AS A SERVICE #MLaaS + ENTERPRISE OPEN SOURCE MOVEMENT

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ARE FUNDAMENTALLY CHANGING THE POSSIBILITY FRONTIER

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WE ARE GETTING A BROADER MENU

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WE ARE GETTING MORE STANDARDIZATION

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I WORK THIS OUT FURTHER HERE …

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https://www.slideshare.net/Danielkatz/ machine-learning-as-a-service-mlaas-open- source-and-the-future-of-legal-analytics-by- daniel-martin-katz-michael-j-bommarito-ii

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BUT SUFFICE TO SAY IS NO LONGER THE ONLY GAME IN TOWN

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Machine Learning as a Service #MLaaS

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Machine Learning as a Service #MLaaS

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Machine Learning as a Service #MLaaS

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Machine Learning as a Service #MLaaS

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(3) WE WILL GO THE WAY OF THE WORLD AND SEE MORE OPEN SOURCE OFFERINGS IN LEGAL

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WE NEED MORE #OPENSOURCE IN LAW

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I AM PRACTICING WHAT I PREACH

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contraxsuite.com

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https://github.com/LexPredict/lexpredict-contraxsuite

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INTELLIGENT MONETIZATION

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ONE OF THE CHALLENGES THAT LEGAL INNOVATORS HAVE FACED IS PROBLEM SELECTION

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PERFORMANCE PEDIGREE > HISTORICALLY IN LAW

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PERFORMANCE IS *NOT* RIGOROUSLY MEASURED …

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INDEED, ALMOST EVERY TIME WE BENCHMARK EXPERTS THEY ARE NOT NEARLY AS GOOD AS WE THINK

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EVEN IF YOU HAVE A BETTER MOUSETRAP …

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IF YOU ARE 5% OR 10%+ BETTER AT SOMETHING

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YOU NEED TO FIND A CUSTOMER (CLIENT) WHO ACTUALLY CARES

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SOMETIMES IT IS WAY EASIER TO SELL #LEGALINNOVATION TYPE IDEAS

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TO OTHER SECTORS IMPACTED BY LEGAL DECISIONS OR LEGAL RISK

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IN OTHER WORDS, ACROSS THE ENTIRE ECONOMY …

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THE BOUNDARIES BETWEEN MARKET SECTORS ARE BEGINNING TO EVAPORATE …

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LEGALTECH REGTECH FINTECH INSURTECH ON THE MARGINS THERE IS NO REAL DIFFERENCE BETWEEN THE FOLLOWING FIELDS -

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WHICH IS JUST A WAY OF IDENTIFYING THAT ASPECTS OF ‘LAW’ ARE ACTUALLY JUST FINANCE, INSURANCE IN THE FIRST PLACE …

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LITIGATION FUNDING

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LITIGATION FUNDING +1568% in 4 years

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LAW AS INSURANCE

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EVENT DRIVEN LEGAL TRADING

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LEGAL SIGNAL PROCESSING

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https://www.slideshare.net/Danielkatz/fin-legal-tech-laws-future-from- finances-past-some-thoughts-about-the-financialization-of-the-law- professors-daniel-martin-katz-michael-j-bommarito

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HUMAN CAPITAL + CULTURE

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THE DEMOGRAPHIC REALITY …

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WE ARE ABOUT TO HAVE THE LARGEST GENERATIONAL TRANSFER IN HUMAN HISTORY

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THIS IS A MAJOR CHALLENGE TO EVERY ORGANIZATION

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ORGANIZATIONS NEED DIFFERENT (BETTER) HUMAN CAPITAL IN ORDER TO SUPPORT ALL OF THESE TRENDS HIGHLIGHTED HEREIN

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AND THIS SHOULD BE REFLECTED IN THE CONTENT OF LEGAL EDUCATION

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LIBERAL ARTS LEGAL.EDU

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POLYTECHNIC LEGAL.EDU LIBERAL ARTS LEGAL.EDU

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Daniel Martin Katz, The MIT School of Law? A Perspective on Legal Education in the 21st Century, University of Illinois Law Review (2014)

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I OUTLINE IN THIS PAPER MY VISION FOR WHAT LAW.EDU COULD BE ... (AND I AM NOT ALONE IN THIS VIEW)

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SO WITH THAT UNDERSTANDING OF THE CURRENT INPUTS, DYNAMICS AND CONSTRAINTS

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I WOULD LIKE TO LOOK OVER THE #LEGALHORIZON …

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FROM CHAOS + COMPLEXITY TO REINVENTION

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BLOCKCHAINLAWCLASS.COM

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FROM HUNTER GATHERER SOCIETIES TO A HIGHLY COMPLEX GLOBAL ECONOMIC SYSTEM(S)

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ECONOMIC HISTORY TO DATE CAN BE SEEN AS A QUEST TO SCALE TRUST AND LOWER TRANSACTION COSTS

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MESOPOTAMIA GREECE ROME MEDIEVAL ERA MERCHANT LAW RENAISSANCE PRE ANALOG ERA THE CORPORATION MARITIME LAW + INSURANCE HUNTER GATHERERS CODE OF HAMMURABI SOME EARLY TRANSACTION ENHANCING INNOVATIONS AND SOCIETIES

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THERE ARE A VARIETY OF DIFFERENT WAYS TO DIVIDE UP RECENT HISTORY AND PROJECT FORWARD …

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WE COULD DIVIDE UP THE PAST ~150 YEARS INTO THREE SEPARATE ERAS ANALOG ERA DIGITAL ERA COMPUTATIONAL ERA

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EACH ERA LAYERS UPON THE PRIOR PERIODS … ANALOG ERA DIGITAL ERA COMPUTATIONAL ERA

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THE WORLD ECONOMIC FORUM CALLS THIS THE ‘FOURTH INDUSTRIAL REVOLUTION’

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I WOULD CALL IT THE COMPUTATIONAL AGE …

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INDEED HERE IS OUR BLOG WHICH HAS BEEN RUN SINCE 2009 (FEEL FREE TO SET THIS AS YOUR HOMEPAGE) HTTPS://COMPUTATIONALLEGALSTUDIES.COM/

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TELEGRAPH TELEPHONES INTERNET LONG TAIL COMMERCE (MERCHANT LAW TAKE 2) CRYPTO INFRASTRUCTURE ANALOG ERA DIGITAL ERA COMPUTATIONAL ERA INTERNET OF THINGS FIAT CURRENCY EARLY COMPUTERS GLOBALIZATION PERSONAL COMPUTERS ARTIFICIAL INTELLIGENCE AUTOMOBILE CREDIT CARDS CHARGE CARDS

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SOME OF THE KEY INGREDIENTS OF THE COMPUTATIONAL ERA …

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CRYPTO INFRASTRUCTURE INTERNET OF THINGS ARTIFICIAL INTELLIGENCE + + ETC. + { }

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THESE PHASES MAP REASONABLY WELL ON TO WHAT WE HAVE SEEN (AND WILL LIKELY SOON SEE) IN THE FIELD OF LEGAL INNOVATION

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ANALOG DIGITAL COMPUTATIONAL

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COMPUTATIONAL Chaos + Complexity Process + Predictability Reinvention + Value Creation ANALOG DIGITAL

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A FEW EXAMPLES OF THE PATH TO REINVENTION …

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(1) CONTRACTS / TRANSACTIONS

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CHAOS + COMPLEXITY

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CHAOS + COMPLEXITY PROCESS + PREDICTABILITY

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Contract Management Dashboard Open Contracts for Review 150 11.7% compared to 170 this time last year Contracts by Type NDA’s Master Service Agreements Contracts Reviewed (YTD) 1798 9.3.% compared to 1983 this time last year Input Risk Mitigated $6.4M 30.0% compared to $5M this time last year Average Cycle Time (YTD) 19 days 26.7% compared to 15 days last year Total Value of All Contracts $600.2M 29.6% compared to $500M this time last year Software Licenses Sales Agreements 602 426 246 312 Global Filters from 01/01/2017 Status to 12/31/2017 Practice Matter Type 0 7 13 20 26 JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC Average Contract Cycle Time Agreement Name Agreement Type Days Since Receipt Division Contracts by Complexity Low Medium High 48% 37% 15% Contracts Awaiting Review NDA Software License NDA Sales Agreement MSA John Smith HR Packet MS Jane Jones HR Packet Widget Agreement Acme Services HR IT HR Sales Team IT 3 29 8 37 56

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WHILE THIS IS A HELPFUL STEP IT IS NOT REINVENTION

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AN EXAMPLE OF REINVENTION

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https://medium.com/aigang-network/the-synergy- between-insurance-and-blockchain-77da2849c211

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“WEATHER INDEXED INSURANCE IS BASED ON LOCAL WEATHER INDICES. PAYOUTS ARE TRIGGERED BY THE SPECIFIED COMPONENTS OF THE INDEX RATHER THAN CROP YIELDS” https://wrma.org/weather-risk-by-application/agriculture/

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INSURANCE CONTRACT CONTINGENCY STORED ON BLOCKCHAIN RAW SENSOR DATA (PRIVATE OR PUBLIC) PREPROCESSED AND SERVED UP REGULARLY CHECK FOR CONTINGENCY SATISFACTION IF CONTINGENCY IS SATISFIED INITIATE PAYMENT OR START AUDIT PROTOCOL OR PROCEED TO FINAL HUMAN APPROVAL

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EARLY EXAMPLES IN LAW-LAW LAND

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(2) DISCOVERY COMPLIANCE CONVERGENCE

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THE DISCOVERY + COMPLIANCE CONVERGENCE

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THE GOAL SHOULD BE PREVENTION

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BEHAVIORAL PATTERNS AND SIGNALS INTELLIGENCE

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#DOLESSLAW http://www.reinventlawchannel.com/ron-friedmann-do-less-law/

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(3) LEGAL RISK MANAGEMENT BECOMES INSURANCE

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TODAY WE USE LAWYERS AS THE COMPUTERS OF LEGAL RISKS

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BUT IN THE OTHER APPLICATIONS WE USE UNDERWRITING AND RISK TRANSFER VEHICLES

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THIS IS JUST ONE EXAMPLE OF HOW WE (PARTIALLY) DELAWYERED A LEGAL PROCESS

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LAW AS INSURANCE

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HERE WE ALMOST FULL DELAWYERED THE TRANSACTION

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THERE IS MORE WHERE THAT CAME FROM …

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LITIGATION FUNDING

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LITIGATION FUNDING +1568% in 4 years

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WHERE LAW IS FINANCE LAW WILL LOOK MORE LIKE FINANCE #PROPTRADING

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CLAIM MOST OF TODAY’S LEGAL AI BUYERS SELECT ON THE BASIS OF UI/UX NOT ACTUAL PERFORMANCE SIZZLE > STEAK

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“... law firms will participate in an arms race where they advertise their AI models, and the future of the law business is monetizing bespoke AI models.” http://www.legalexecutiveinstitute.com/iltacon-2018-innovation/

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(4) PLATFORMS AND THE LEGAL INFO ECONOMY

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TWO YEARS AGO

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MICHAEL SKAPINKER FROM THE FT WROTE THE FOLLOWING

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APRIL 11 2016

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AMONG OTHER THINGS THE ARTICLE EXPLORED CHANGES IN THE BUSINESS OF LAW

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INCLUDING THE POSSIBILITY OF AN ‘UBER MOMENT’ FOR LAWYERS

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THERE HAVE BEEN MANY OTHER ARTICLES ALSO EXPLORING THESE DYNAMICS …

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AND IT SEEMS THAT THIS IDEA IS …

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VERY MUCH IN THE ZEITGEIST (IN ONE FORM OR ANOTHER)

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WHETHER IN LAW OR IN ANOTHER SECTOR OF THE ECONOMY …

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THE DIGITAL PLATFORM IS ONE OF THE DEFINING FEATURES OF THE POST INTERNET ECONOMY

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‘DIGITAL PLATFORMS ARE COMPLICATED MIXTURES OF SOFTWARE, HARDWARE, OPERATIONS, AND NETWORKS’

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FREELANCE LABOR (UPWORK, ELANCE, TASK RABBIT) SOCIAL NETWORKING (FACEBOOK, LINKEDIN) INTERNET BASED RETAIL (AMAZON, EBAY, ANGIE’S LIST) FINANCIAL / HR FUNCTIONS (WORKDAY, WORKFUSION) TRANSPORTATION (UBER, LYFT, SIDECAR) MOBILE PAYMENT (MAHALA, SQUARE)

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PLATFORMS AND THE BUSINESS OF LAW

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APPLYING A SOMEWHAT LOOSE DEFINITION …

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THE LAW FIRM COULD BE CALLED THE ORIGINAL ‘PLATFORM’ IN LAW

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ENTREPRENEURIALLY MINDED LAW FIRM LEADERS WERE ABLE TO ASSEMBLE TEAMS OF EXPERTS

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PARTICULARLY ACROSS THE 20TH CENTURY THE LAW FIRM REPLACED A MUCH MORE DECENTRALIZED FORM OF INDUSTRIAL ORGANIZATION

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WHILE AN ANALOG FORM OF PLATFORM, THE LAW FIRM ALLOWED FOR A DIFFUSE SET OF EXPERTISE TO BE BUNDLED AND SOLD TO A CLIENT

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OTHERWISE THE CLIENT HAD TO ORGANIZE THE NECESSARY EXPERTS AND ASSOCIATED LABOR TO SUPPORT THEIR SPECIFIC LEGAL TASKS …

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THE CLIENTS THEMSELVES ARE WORKING TO DEVELOP PLATFORMS AND ECOSYSTEMS

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NIKE ALLIANCE

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GE LAWYER RATING SYSTEM “YELP FOR LAW’ ?

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ON THE RETAIL SIDE OF THE BUSINESS … LEGALZOOM, CLIO, AVVO ARE ALL MAKING PLATFORM PLAYS

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THERE ARE SEVERAL VERSIONS OF ‘UBER FOR LAWSUIT FUNDING’

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AND THERE ARE MANY OTHER VERSIONS OF ‘UBER FOR LAWYERS’

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ON THE TECH SIDE OF THE LEGAL BUSINESS …

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THERE IS ALSO MOVEMENT TOWARD PLATFORM OFFERINGS …

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THIS WILL BE A BIG PART OF THE LAW BUSINESS OF THE 2020’S …

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(5) SCALABLE JUSTICE AND THE MODRIA OF EVERYTHING

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WHY DO HAVE TO ‘GO TO COURT’ ?

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CAN’T WE HAVE MORE SCALABLE VERSION OF THE JUSTICE SYSTEM?

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EBAY

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CAN WE USE VASTLY ALTERNATIVE DELIVERY MODELS?

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FIRST WE WILL GET CHATBOTS …

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? Meet Ellie a Virtual Therapist developed at USC THE TRUE ROBOT LAWYER

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CLOSING ARGUMENT

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LEGAL INNOVATION IS A 5000 YEAR OLD FIELD

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BUT AS NOTED EARLIER WE SORT OF STALLED OUT SOMEWHERE ALONG THE WAY …

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WE ARE GETTING THINGS BACK ON TRACK …

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I AM BULLISH ON THE FUTURE …

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NOT BECAUSE I AM AN OPTIMIST

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BUT RATHER BECAUSE OF TRENDS THAT ARE IN PLAY

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AND THE OPPORTUNITIES THAT LIE AHEAD

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TO THE LEGAL INNOVATORS …

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I SAY — STAY THE COURSE

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THE LEGAL INNOVATION AGENDA

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IS GLOBAL

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IS GLOBAL IS GROWING

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IS GLOBAL IS GROWING AND IS SLOWLY WINNING

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ComputationalLegalStudies.com BLOG

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@ computational

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Daniel Martin Katz @ computational computationallegalstudies.com lexpredict.com danielmartinkatz.com illinois tech - chicago kent college of law @ thelawlab.com