INFLECTION POINT: THE LEGAL AI REVOLUTION

The Legal AI Revolution

OVERVIEW

The legal profession has long been characterized as one that is resistant to change, deeply rooted in traditional practices, and placing a strong emphasis on the domain-specific expertise of its practitioners.

However, the exponential maturity of AI tools has resulted in a significant paradigm shift in the legal landscape.

The potential for AI tools (like Chat GPT and other LLMs or “Large Language Models”) to improve productivity, efficiency, and quality—if not completely transform the practice of law by automating historically tedious tasks—has made a significant impression upon the legal world and beyond.

Indeed, the potential for AI to fundamentally transform the way in which legal work is conducted and law firms operate is now being recognized with increasing vigor.

From legal research to document review and analysis to predictive analytics – AI-powered tools have the capacity to become a force multiplier in law practice, enabling lawyers to quickly and more accurately analyze large volumes of legal data and documents, identify key information within contracts and clauses and even help to highlight conflicts or non-compliance issues to mitigate risk, negotiate better terms, and largely manage client relationships more effectively.

Are we at an inflection point with respect to the way legal work is done and delivered? How will changes in the legal market resulting from AI automation affect our business models and client expectations? And how might we adapt our service offerings to meet the evolving needs of our clients where many routine tasks are likely to be automated?

And if we pause for a moment, shouldn’t we consider all that we might be leaving behind in terms of experience and know-how, by automating rote tasks?

Now is the time for firm leaders to carefully consider the opportunity and risk inherent to the adoption of emerging AI tools and question the potential for unintended consequences as it pertains to our businesses.

Addressing these questions and many others, Inflection Point: The Legal AI Revolution, scheduled to take place online this June 20th is an ideal opportunity to cut through the hype and do some level-setting as we explore several fundamental considerations and hypothetical futures that we are confronted with today as it relates to the state of AI/automation within the legal profession.

The application of these maturing AI tools is seemingly bound only by our own imagination and capacity for creative problem solving.

Inflection Point: The Legal AI Revolution promises to be a thought-provoking examination of where we are today, as we discuss and debate the potential benefits and risks associated with the use of maturing AI tools within the legal profession—and the opportunities for leveraging the power of these tools to add value and transform the way we work for both law firms and the clients we serve.

Anand Upadhye

Tech/Law/Litigation Finance
Founder, Modern Lawyer Strategies

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Cat Casey

Chief Growth Officer
Reveal-Brainspace
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Meredith Williams-Range

Chief Client Strategy & Growth Officer
Shearman & Sterling LLP
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Kathleen Orr

Global Head of Practice Innovation
Orrick Herrington & Sutcliffe LLP
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Nick West

Chief Strategy Officer
Mishcon de Reya LLP
Founder, MDR LAB;
LegalTech advisor, Board Member, NED
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Evan Shenkman

Chief Knowledge and Innovation Officer
Fisher & Phillips LLP
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Patrick DiDomenico

Founder
InspireKM Consulting
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Timothy (Tim) Fox

Director of Practice Intelligence and Data Analytics
Ogletree, Deakins, Nash, Smoak & Stewart, P.C.
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Damien Riehl

VP, Litigation Workflow and Analytics Content
vLex
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Wendy L. Rubas

General Counsel
VillageMD 
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Daryl Shetterly

Managing Director, Orrick Analytics
Global Operations & Innovation Center
Orrick Herrington & Sutcliffe LLP
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Nicola (Nikki) Shaver

CEO
LegalTech Hub
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Daniel Lewis

CEO
LegalOn Technologies
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Michael Bommarito

CEO
273 Ventures

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Pablo Arredondo

Co-Founder & Chief Innovation Officer
Casetext
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Nerushka Bowan

Head of Technology & Innovation
Norton Rose Fulbright South Africa Inc

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Tom Martin

Founder and CEO
LawDroid

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Eric T. Cooperstein

Ethics Consulting and Representation
Law Office of Eric T. Cooperstein, PLLC
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Ilona Logvinova

Head of Innovation for McKinsey Legal, AGC for McKinsey Digital
McKinsey & Company

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9:30 AM US CENTRAL / KEYNOTE

Becoming Ironman Esquire:

How the Human-Centered AI Revolution Makes Legal Professionals More Important, Not Less

This opening, keynote session will address the concept of human-centered AI (HCAI), its significance to the legal profession and why AI is more reliant on human interaction in complex areas like law – with long-term success being dependent on realizing the importance of the human element in AI. Join us, as we discuss the concept of augmented intelligence – where AI and humans work together collaboratively to amplify the human mind, unlocking potential for better outcomes through co-creation (as opposed to relying on automation in isolation). In closing, we will also address how the legal industry can combine powerful AI tools with user-friendly interfaces to drive adoption, while keeping the user (the human) at the center of the process.

Cat Casey

Chief Growth Officer

Reveal-Brainspace

10:30 AM US CENTRAL / THINK TANK

LLMs and Generative AI's Impact on the Practice of Law

Realistically, where are we today – and where might we find ourselves in 6 to 18 months? Discuss and debate viability, adoption, adaptation and disruption as it pertains to traditional modes of law practice.

Discuss and debate whether it is reasonable to trust that these tools can enhance the accuracy and quality of legal work by reducing human error, detecting anomalies, and providing insights and predictions based on data and evidence—liberating lawyers from some of the drudge work that generative AI can do faster, more efficiently and more reliably.
How are law firms using these tools today? While the technology is still in a relatively nascent stage, there are numerous reports of firms putting these tools to task aimed at document review, contract analysis, due diligence, e-discovery, and some forms of legal research. Are these tools ready for prime-time use?
Legal research meets data science: Explore some of the perceived advantages and disadvantages of using AI for legal research, both currently and in the future – as well as potential workforce transformation challenges triggered by automation, impacting staffing needs and requisite skillsets.
Identifying the types of legal work that are most likely to be impacted by automation and how this may impact the firm’s workforce and staffing needs. How many “Legal Prompt Engineers” are currently working at your firm?

MODERATOR

Meredith Williams-Range

Chief Client Strategy & Growth Officer

Shearman & Sterling LLP

PANEL

Nick West

Chief Strategy Officer

Mishcon de Reya LLP

Founder, MDR LAB;

LegalTech advisor, Board Member, NED

Evan Shenkman

Chief Knowledge and Innovation Officer

Fisher & Phillips LLP

Kathleen Orr

Global Head of Practice Innovation

Orrick Herrington & Sutcliffe LLP

12:00 PM US CENTRAL / THINK TANK

LLMs and Generative AI's Impact on the Business of Law

How will changes in the legal market resulting from AI automation affect our business models and client expectations? And how might we adapt our service offerings to meet the evolving needs of our clients where many routine tasks are likely to be automated?

How might AI and LLMs elevate law firm intelligence functions, enabling lawyers to make better, data-driven business decisions? And what sort of data governance and database improvement projects and challenges are law firms contending with today as we aim to enhance and optimize these capabilities – and even train these models on our firm’s own data sets for more refined results?
If AI-powered capability has the potential to change the way legal services are delivered, then what are the implications on pricing, revenue and profitability? How might this create new pricing pressures through efficiency gains, as clients may expect to pay less for services that are automated (or partially automated)?
What will clients accept in terms of transparency as we move from tasks that historically took say 5 hours, now taking only 5 minutes?
Will emerging AI technology enable corporate law departments to keep more work in-house?
How might AI change our clients’ industries and create opportunities for investment in new, emerging niche practice areas?
Explore how tech-driven firm differentiation can create opportunities to redefine who a law firm is through client-oriented solutions that elevate customer experience.
Mapping the tech to firm capability: What skill sets are we missing and how can we address these knowledge gaps?
Investing in AI technology and staff to keep up with rapid advancement and remain competitive.

MODERATOR

Patrick DiDomenico

Founder

InspireKM Consulting

PANEL

Timothy (Tim) Fox

Director of Practice Intelligence and Data Analytics

Ogletree, Deakins, Nash, Smoak & Stewart, P.C.

Damien Riehl

VP, Litigation Workflow and Analytics Content

vLex

Wendy L. Rubas

General Counsel

VillageMD

Daryl Shetterly

Managing Director, Orrick Analytics

Global Operations & Innovation Center

Orrick Herrington & Sutcliffe LLP

1:30 PM US CENTRAL / THINK TANK

An Assessment of What the Tech Can and Cannot Do... At Present

What exactly are Large Language Models (LLMs)? A look at the underlying tech, how these tools work, how they’re trained and what the future holds…

Understanding how Large Language Models are created and how they work.
The art and science of prompting AI tools: How to get these tools to work for specific applications -and using your own data to train LLMs.
Language prompting and teaching a language model to think like a lawyer.
Current vs. Future Capability: Discuss & Debate
Predictive modeling
First drafts and drafting
Document review
Legal research
eDiscovery
Summarization
Contract analysis and redlining
Using LLMs for regulatory compliance
Turning law into code: Opportunity and risk
Case law and "fact-based" work
Hallucination challenges, false output risk and possible controls
Where is the market today, where is it heading – and how fast are we really moving?

MODERATOR

Nicola (Nikki) Shaver

CEO

LegalTech Hub

PANEL

Michael Bommarito

CEO

273 Ventures

Pablo Arredondo

Co-Founder & Chief Innovation Officer

Casetext

Daniel Lewis

CEO

LegalOn Technologies

3:00 PM US CENTRAL / THINK TANK

Ethics and Professional Responsibility

Ethical and legal considerations concerning the deployment of emerging and maturing AI tools within the practice of law.

Navigating legal ethics as the use of technology permeates the practice of law.
Risk and the dangers of misuse: Who is responsible if/when things go awry (if AI takes us down the wrong path)?
Impacts on Access to Justice - ethical blurring of lines
IP and Copyright implications: A re-examination of the nature of intellectual property and the pros and cons of diving into a new tech landscape before we have established the rules
Redefining creativity? Who are the creators?
How and why your IP will become part of an AI engine
How did the data get there - and who has rights to use it?
No law against learning: Will/should LLMs require permissions to use existing data sets?
Litigation and Lessons Learned: Does the Reward Outweigh the Risk?
Examples: GitHub, Microsoft and Getty Images lawsuits
IP Risk & Litigation: Today and tomorrow
AI and Tech Policy: Law firm governance/risk management
Understanding the legal issues implicated by AI and data analytics
Client consent: Moving from tasks that historically took 5 hours down to 5 minutes - and navigating nuanced conversations around price and transparency

MODERATOR

Damien Riehl

VP, Litigation Workflow and Analytics Content

vLex

PANEL

Nerushka Bowan

Head of Technology & Innovation

Norton Rose Fulbright South Africa Inc

Eric T. Cooperstein

Ethics Consulting and Representation

Law Office of Eric T. Cooperstein, PLLC

Ilona Logvinova

Head of Innovation for McKinsey Legal, AGC for McKinsey Digital

McKinsey & Company

Tom Martin

CEO and Founder

LawDroid

This full-day series of panel discussion/think tanks will:

Explore how law firms are using AI tools today and whether it is reasonable to trust that these tools can enhance the accuracy and quality of legal work, liberating lawyers from some of the drudge work that generative AI can do faster, more efficiently and more reliably.

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This full-day series of panel discussion/think tanks will:

Consider how changes in the legal market resulting from AI automation could impact business models and client expectations and how firms may have to adapt service offerings to meet evolving needs and expectations of our clients – assuming many routine tasks are likely to be automated. Could emerging tech create new pricing pressures through efficiency gains?

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This full-day series of panel discussion/think tanks will:

Address existing knowledge gaps when mapping emerging tech to firm capability. What skill sets are we missing and how can we address changing workforce and staffing needs?

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Discuss and debate current vs. future capabilities of LLMs and Generative AI tools, how these tools work, how the models are trained and what the future holds. Where is the market today, where is it heading – and how fast are we really moving?

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Examine how AI can be used to elevate law firm intelligence functions, enabling better data-driven business decisions – and how to train these models on our firm’s own data sets for more refined results.

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Slide title

Debate and discuss the potential ethical and legal implications of using AI in the practice of law, including the risks of misuse, impacts on access to justice, and the need for clear ethical guidelines, as these tools are not intended to replace human judgement.

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Illustrate why AI is more reliant on human interaction in complex areas like law – with long-term success being dependent on realizing the importance of the human element.

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