Name: Challenges & Opportunities of Fortune 500 Data Discovery Leaders
Start: 2022-01-05T18:00:00Z
End: 2022-01-05T18:00:58.000Z
Location: BrightTALK
Rating: 0

Text IQ leverages the latest in unsupervised machine learning, graphical modeling, and deep learning to create AI solutions to identify and protect sensitive information for the world’s largest enterprises. Our technologies are applied within privacy, legal, and compliance departments in almost all major industries spanning the Global 2000, uncovering latent risk buried in unstructured data and providing protection from crises.

This channel features a series of virtual discussions with Fortune 500 executives and thought leaders with a perspective on Artificial Intelligence's inevitable impact on the way we live and work.

But this isn't your normal webinar series. You won't find any monologues or boring presentations here. Think fireside chats, but without the fire. We’re getting real about how AI will transform the status quo. We pulled industry leaders and AI catalysts away from the decision table for this series of topical discussions. Don’t miss this exclusive opportunity to be a part of the conversation!

The pressure on law firms and corporate legal departments to deliver critical information faster and more cost-effectively isn’t new. What is new is that a quality, proven, technology option now exists to help achieve optimization in litigation workflows, as well as meet and exceed demands on time and budgets. Oh, and it’s already in use at leading Fortune 500 companies and AmLaw 100 firms. 

Sounds almost too good to be true, and we’re taught not to accept everything at face value. So how should you verify that your results are valid and actually improved? 

Additionally, how should you incorporate AI-powered software into your litigation workflows, especially the nuanced privilege review, privilege logging, and PII identification, to optimize them? 

What we'll cover: 
- Practitioners will share how they incorporate AI-powered into your litigation workflows, especially the nuanced privilege review, privilege logging, and PII identification
- How to optimize these workflows
- How to validate the results of an AI-powered document review and benchmarks
- Best practices for measuring your results
- The point of view of the courts on the use of AI in litigation
- How AI is used within law firms and corporations

Validations for Optimizing Workflows with AI For Privilege & PII

In honor of Women's History Month, we're welcoming four female legal leaders to discuss the advances women have achieved in the corporate world and the challenges they're still facing today. 

Corporate America has come a long way thanks to the tireless efforts by successive generations of women leaders and organizations to foster an atmosphere of inclusion, allyship, and equity in the workplace. Most recently, the SEC ratified NASDAQ’s proposal requiring every company listing its shares on the world’s second-largest stock exchange to have at least one woman on its board of directors; last year, California passed a law with similar provisions.

Discussion Topics: 
- The role gender diversity plays in different organizations
- Insights into the effects gender diversity has on decision making 
- The structural and cultural barriers that keep women leaders from getting a seat at the proverbial high table
- The advancements women have made in the workplace

Join an eclectic group of women leaders from an array of industries as they share their insights and perspectives on how companies can foster more gender diversity on their boards.

Why Gender Diversity Matters & Other Insights Into Better Decision Making

Corporate silos are so last year.

Humans are now producing an average of 2.5 quintillion bytes of data per day, according to TechJury. In fact, 90% of the world's data was created in the past couple of years - much of that by enterprises and about 80% of which is the difficult to manage, unstructured data like emails, text messages, and image files. 

Legal departments are now tasked with figuring out how to govern this giant iceberg that is enterprise data to manage risk, prepare for litigation, respond to Data Subject Access Requests, and prevent cybersecurity failings. 

While volumes and costs are just the beginning, latent risk, behavior changes, and misaligned incentives lie below the surface. Leaders in information governance are leveraging innovation and new technologies to solve their toughest data challenges.

What we'll cover:
- The expanding role of data governance
- Breaking down silos & solving data problems
- Using incentives to change behaviors
- Best practices for data governance
- Investing proactively

Diffusing the Enterprise Data Explosion - eDiscovery to Information Governance

Artificial Intelligence (AI), machine learning, deep learning, etc. have become tech buzzwords that are filtering into the legal domain. But what does it all really mean?
Our expert panel will provide some much-needed guidance on how to cut through the buzz to find out what tech is actually being used by enterprises, law firms, service providers, and tech companies, and how they apply it to reduce risk and cost while improving accuracy in privilege review, data breach response, and to protect privacy. We’ll then walk through how to actually try out AI through a POC and benefit from it in practice.

What you'll learn:
- Beyond the AI buzzwords - a useful introduction to AI
- How AI is applied to litigation, and other immediate use cases
- Future opportunities to leverage AI in your organization
- POC success stories and tips to ensure success for yours

Artificial Intelligence and its New Role in Litigation

When we think of AI, the word “litigation” does not immediately spring to mind. The world of data science, machine learning, and algorithms exists far removed from the day-to-day labors of legal professionals. But AI doesn’t have to be the rarified preserve of data scientists or machine learning engineers alone. Indeed, a new class of early adopters has emerged within the legal firmament applying AI to modernize and scale a variety of burdensome tasks: from automating privilege review with precision to identifying sensitive information buried within vast pools of unstructured data at scale.

Topics: 
- Discuss how AI is used in litigation
- Examine the application of AI in three use cases:
1. Privilege review
2. Investigation
3. Personal information
- Address common questions about AI and its use in litigation

Artificial Intelligence in Corporate Legal Practice

Data has become ubiquitous in today’s data-driven economy and continues to grow inexorably. Since the onset of the global pandemic, data accumulation has only intensified as businesses went online, employees went remote and communication apps - from Zoom to Slack and email - became the de facto modes of communicating in almost every enterprise.   

With the raft of privacy regulations on the horizon and heightened M&A activity as the global economy recovers from the pandemic, the risks posed by sensitive information data lurking in enterprise data are considerable. But with close to 80% of enterprise data existing in an unstructured form, finding sensitive information is like looking for the proverbial needle in the haystack. 

Join experts from USAA, Raytheon Technologies, and T-Mobile, for an insightful panel discussion on: 


- The challenges associated with identifying and securing hard-to-find sensitive information within enterprise data. 
- How enterprises can take steps to ensure that sensitive information does not slip through the cracks during mergers and acquisitions.   
- Knowing what you don’t know - scanning enterprise data for undetected risks.

The Elephant in the Room: What’s hiding in that Massive Unstructured Data Set?

Now more than ever, privacy is becoming a top priority for enterprises across the globe. There are four factors that are turning privacy into a critical consideration for every major business decision: Rising customer expectations, stricter regulatory regimes, the persistent threat of data breaches, and lastly, the compounding factor for these three challenges - the proliferation of enterprise data that leads to a wider attack surface. 

In this new era of privacy, dubbed Privacy 2.0, any weaknesses in an enterprise privacy program will result not only in reputational damage, regulatory penalties but also in the loss of business. 

In this new climate, can enterprises continue leveraging data-centric models to mine insights for customer analytics and data modeling? Or will privacy, i.e. the security of sensitive and personal information, take precedence over all other considerations?

Join us for an hour-long session, which will address the following questions:

1. Can enterprises be both privacy-first and data-first at the same time?

2. How can they elevate their privacy programs to meet the challenges of Privacy 2.0?

3. Can enterprises proactively identify and secure sensitive and personal information (PI) to limit the loss of sensitive data during exogenous events like data breaches? How?

4. How can enterprises organize sensitive and personal information buried in unstructured data sets in a scalable way?

Privacy 2.0: Can Companies Be  Both Data-first & Privacy-first?

On September 22, 1949, four women gathered at a coffee shop in Kansas City to found the American Business Women’s Association—at a time when it was considered socially unacceptable for women to work full-time, much less forge a career in business and entrepreneurship. September 22 has since been celebrated as American Business Women’s Day.

Corporate America has come a long way thanks to the tireless efforts by successive generations of women leaders and organizations to foster an atmosphere of inclusion, allyship and equity in the workplace. Most recently, the SEC ratified NASDAQ’s proposal requiring every company listing its shares on the world’s second largest stock exchange to have at least one woman in its board of directors; last year, California passed a law with similar provisions.

And yet despite these milestones, there still remain daunting structural and cultural barriers that keep women leaders from getting a seat at the proverbial high table. Join an eclectic group of women leaders from an array of industries as they share their insights and perspectives on how companies can foster more gender diversity on their boards.

Roundtable on American Business Women's Day

Today, many companies are going to great lengths to provide an inviting, diverse, and inclusive workplace for their employees. However, this is a fairly recent trend and enterprise legal departments have had a front-row seat to this evolution. We invited Fortune 500 legal experts to discuss how their department is leading the effort to drive diversity and inclusion at their companies and with their outside counsel/partners.

What we’ll discuss:

-How legal contributes to diversity and inclusion
-What “diversity and inclusion” used to look like and how it has evolved
-What legal ramifications to keep in mind when starting diversity and inclusion initiatives
-Working with outside counsel on their diversity initiatives
-Current trends 
-Where companies still struggle

How Legal is Driving Diversity & Inclusion

Law Firm Partners have a new role to add to their credentials: Tech Advisor. Clients look to their law firm partners to provide best-in-class legal advice. But, with increasing pressure to digitize and “do more with less,” the best advice now must include technology solutions. To stay competitive and deliver value for customers, law firms must not only engage applications to solve both routine and novel legal issues but also provide expertise on driving the most appropriate use of technology on every matter. As a result, legal domain expertise has expanded to encompass a constant eye on technology and an ongoing obligation to vet and engage new technologies that can deliver better results across risk, time, and cost factors.

Our expert panelists from leading AMLaw100 firms, Crowell & Davis, Sidley Austin, and  Nelson Mullins, Riley & Scarborough, will share how they’ve evaluated and implemented technology for their firms and customers, including how they assess various solutions for sensitive data analysis. We will provide helpful takeaways to better equip legal leaders, including:

• Key questions you should be asking your law firms about the use of technology
• How law firms get comfortable with the “risk” of new technology
• “Low hanging fruit” that is ripe for AI and automation
• Considerations for creating defensible workflows

Is Your Law Firm Helping You Stay on the Cutting Edge of Tech?

It’s been less than five months since the new administration took office, but a spate of new developments has already catalyzed conversation around the antitrust policy. From legal scholar Lina M Khan’s nomination as the Federal Trade Commission’s (FTC) commissioner and Professor Tim Wu’s appointment to the National Economic Council to the publication of "Antitrust", Senator Klobuchar’s tome on the long history of antitrust actions in the United States, and the introduction of her Antitrust Bill, efforts to challenge Big Tech’s dominance and unchecked growth have been gathering steam in recent months. 

But just as Big Tech has over the years become the cynosure of Antitrust practice, lawyers have increasingly started exploring the use of AI and other technologies–in some cases, becoming early adopters–in their practice. 

In this hour-long session, our panel of experts will explore the following themes: 

1. Appeals to reform antiquated antitrust laws to better capture the current dynamics of market power already enjoy bipartisan support. But precisely how will these laws be reformed, and what trends will influence them? 

2. Will the consumer welfare standard continue to be the sole litmus test for anti-competitive behavior? Will the new laws address wage-fixing and unfair non-compete agreements in the labor market?

3. How will the increasing adoption of AI and other technologies change the legal function? How are these technologies being utilized in antitrust litigation currently?             

4. What are the ethical considerations in AI in legal practice? As M&A activity increasingly comes under the scanner, how will in-house and outside counsel utilize AI to deal with the onslaught of second requests from enforcement agencies?  

Register today!

A New Doctrine for Trust-busting: The Evolving View on Antitrust Litigation

The pressure on law firms and corporate legal departments to deliver critical information faster and more cost-effectively isn’t new. What is new is that a quality, proven, technology option now exists to help achieve optimization in litigation workflows, as well as meet and exceed demands on time and budgets. Oh, and it’s already in use at leading Fortune 500 companies and AmLaw 100 firms. 

Sounds almost too good to be true, and we’re taught not to accept everything at face value. So how should you verify that your results are valid and actually improved? 

Additionally, how should you incorporate AI-powered software into your litigation workflows, especially the nuanced privilege review, privilege logging, and PII identification, to optimize them? 

In this virtual discussion, our expert panel will offer perspectives from corporate legal departments, law firms, and the courts. They’ll cover topics from how AI integrates into existing workflows to tips on how to validate its results.

Trust, But Verify: Validations for Optimizing Workflows with Next-Gen AI

From adversary to a trusted partner 

During a government investigation, the relationship often runs the gamut from adversary, to ‘it's complicated,’ to a trusted partner. By offering greater efficiencies, narrowing the scope of investigations, managing increasing volumes of scattered, unstructured data, and reducing the risk of leaking sensitive documents, technology can often ease tensions and help you breathe a sigh of relief during government investigations. 

With stints in the government and current roles leading enterprise legal departments, our panel will share their tips on navigating the complexities of government investigations with technology. 

We will discuss:

-  What makes government investigations tricky
-  Overcoming major challenges
-  Taking back control of the timelines
-  Building trust in technology with gov’t counterparts
-  Finding time & cost savings

How to Use Technology in Government Investigations

The Unique Challenges of a Fortune 500 Data Discovery Leader

If 73 cents of every dollar spent on eDiscovery goes towards document review, shouldn’t it be working harder for you? Fortune 500 leaders in the data discovery process and technology share how they’ve overcome industry challenges with AI and kept the change.

What we'll cover:
- Developing defensible processes & workflows
- Tough trade-offs between risk management & cost savings
- Adapting to evolving business & regulatory environments
- Evaluating resourcing & vendor/tech selection
- Building a global team & attracting the right talent

Challenges & Opportunities of Fortune 500 Data Discovery Leaders

Artificial Intelligence

Data Best Practices

Data Breach

E-Discovery

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Challenges & Opportunities of Fortune 500 Data Discovery Leaders

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