The document discusses collaboration tools and technologies for lawyers. It covers three key themes: that technology choices are about culture more than the tools themselves, that lawyers are already collaborating in some way, and that collaboration requires collaborating to choose tools. It provides many tips for selecting, implementing, and improving collaboration tools, such as starting with one tool, auditing current practices, aligning tools with business goals, and emphasizing culture over any single technology. The conclusion emphasizes that collaboration is important, culture influences tools, and clients are the most important collaborators.
Solve User Problems: Data Architecture for Humansmark madsen
We are bombarded with stories of the latest products to hit the market – products that will change everything we do. This causes us to focus on the latest technology, building IT for the sake of building IT. Meanwhile, the world still seems to run on Excel.
The “big innovators” who have and use unimaginably large amounts of data are not the norm. Aspiring to use the same complex technologies and patterns they do leads to poor investments and tradeoffs. This is an age-old problem rooted in the over-emphasis of technology as the agent of change. Technology isn’t the answer – it’s the platform on which people build answers.
To emphasize technology is to ignore the way tools change people and practices. The design focus in our market was on storing and making data accessible. If we want to make progress then we need to step back from the details and look at data from the perspective of the organization. Our design focus shifts to people learning and applying new insights, asking questions about how an organization can be more resilient, more efficient, or faster to sense and respond to changing conditions.
In this talk you will learn how to put your data architecture into a human frame of reference. Drawing inspiration from the history of technology and urban planning, we will see that the services provided by the things we build are what drive success, not the latest shiny distraction.
Pay no attention to the man behind the curtain - the unseen work behind data ...mark madsen
Goal: explain the nature of the work of an analytics team to a manager, and enable people on those teams to explain what a data science team needs to a manager.
It seems as if every organization wants to enable analytical-decision making and embed analytics into operational processes. What can you do with analytics? It looks like anything is possible. What can you really do? Probably a lot less than you expect. Why is this? Vendors promise easy-to-use analytics tools and services but they rarely deliver. The products may be easy but the work is still hard.
Using analytics to solve problems depends on many factors beyond the math: people, processes, the skills of the analyst, the technology used, the data. Technology is the easy part. Figuring out what to do and how to do it is a lot harder. Despite this, fancy new tools get all the attention and budget.
People and data are the truly hard parts. People, because many believe that data is absolute rather than relative, and that analytic models produce an answer rather than a range of answers with varying degrees of truth, accuracy and applicability. Data, because managing data for analytics is a nuanced, detail-oriented and seemingly dull task left to back-office IT.
If your goal is to build a repeatable analytics capability rather than a one-off analytics project then you will need to address the parts that are rarely mentioned. This talk will explain some of the unseen and little-discussed aspects involved when building and deploying analytics.
Distractions in the workplace are nothing new, but technology has made them much worse. This presentation looks at the causes of workplace distractions, and offers several strategies for dealing them, both for individuals, and for organizations. Information overload and context switching are identified as two key problems that must be dealt with. Since organizations have invested heavily in collaboration tools, workers are faced with a coterie of products that don't work together well. The result is a day spent toggling between multiple applications to complete basic business tasks. Case in point: the New York Times found that workers typically change windows 37 times an hour. But how do you solve this problem with out having to change a worker's daily habits or behavior? One solution is social email - a way to reduce context switching by aggregating existing collaboration tools in the one window that is open all day at work - email. Single context, one window...but no 'pane.'
In the webinar that these slides go with we explore different approaches to integrating user testing into the development of legal content for diverse audiences. Examples include user testing in the following contexts: the development of a website and mobile app in the immigration sphere, the rollout of a pro bono mobilization website, content development for a statewide website, and enhancements to user experience when navigating online forms for courts.
Solve User Problems: Data Architecture for Humansmark madsen
We are bombarded with stories of the latest products to hit the market – products that will change everything we do. This causes us to focus on the latest technology, building IT for the sake of building IT. Meanwhile, the world still seems to run on Excel.
The “big innovators” who have and use unimaginably large amounts of data are not the norm. Aspiring to use the same complex technologies and patterns they do leads to poor investments and tradeoffs. This is an age-old problem rooted in the over-emphasis of technology as the agent of change. Technology isn’t the answer – it’s the platform on which people build answers.
To emphasize technology is to ignore the way tools change people and practices. The design focus in our market was on storing and making data accessible. If we want to make progress then we need to step back from the details and look at data from the perspective of the organization. Our design focus shifts to people learning and applying new insights, asking questions about how an organization can be more resilient, more efficient, or faster to sense and respond to changing conditions.
In this talk you will learn how to put your data architecture into a human frame of reference. Drawing inspiration from the history of technology and urban planning, we will see that the services provided by the things we build are what drive success, not the latest shiny distraction.
Pay no attention to the man behind the curtain - the unseen work behind data ...mark madsen
Goal: explain the nature of the work of an analytics team to a manager, and enable people on those teams to explain what a data science team needs to a manager.
It seems as if every organization wants to enable analytical-decision making and embed analytics into operational processes. What can you do with analytics? It looks like anything is possible. What can you really do? Probably a lot less than you expect. Why is this? Vendors promise easy-to-use analytics tools and services but they rarely deliver. The products may be easy but the work is still hard.
Using analytics to solve problems depends on many factors beyond the math: people, processes, the skills of the analyst, the technology used, the data. Technology is the easy part. Figuring out what to do and how to do it is a lot harder. Despite this, fancy new tools get all the attention and budget.
People and data are the truly hard parts. People, because many believe that data is absolute rather than relative, and that analytic models produce an answer rather than a range of answers with varying degrees of truth, accuracy and applicability. Data, because managing data for analytics is a nuanced, detail-oriented and seemingly dull task left to back-office IT.
If your goal is to build a repeatable analytics capability rather than a one-off analytics project then you will need to address the parts that are rarely mentioned. This talk will explain some of the unseen and little-discussed aspects involved when building and deploying analytics.
Distractions in the workplace are nothing new, but technology has made them much worse. This presentation looks at the causes of workplace distractions, and offers several strategies for dealing them, both for individuals, and for organizations. Information overload and context switching are identified as two key problems that must be dealt with. Since organizations have invested heavily in collaboration tools, workers are faced with a coterie of products that don't work together well. The result is a day spent toggling between multiple applications to complete basic business tasks. Case in point: the New York Times found that workers typically change windows 37 times an hour. But how do you solve this problem with out having to change a worker's daily habits or behavior? One solution is social email - a way to reduce context switching by aggregating existing collaboration tools in the one window that is open all day at work - email. Single context, one window...but no 'pane.'
In the webinar that these slides go with we explore different approaches to integrating user testing into the development of legal content for diverse audiences. Examples include user testing in the following contexts: the development of a website and mobile app in the immigration sphere, the rollout of a pro bono mobilization website, content development for a statewide website, and enhancements to user experience when navigating online forms for courts.
This webinar will cover common approaches and pitfalls in the successful maintenance of legal aid technology initiatives. It will explore how project upgrades and enhancements fit into a long-term project plan and budget given the dynamic nature of tech tools available. This webinar will also highlight staffing and documentation practices to support knowledge transfer and continuity when there is staff turnover, or when a project begins with a consultant or volunteer and then needs to be sustained in-house. We will feature experienced and newer project managers who are involved in statewide websites, online forms projects, and other technology initiatives to share lessons learned and tips for the future.
In oratory, “brevity is the soul of wit.” In startups, this principle takes the form of the MVP – the “minimum viable product” – with just enough development and functionality to successfully launch a product or service. In data science, this takes the form of visualizations and analyses that are “minimally sufficient” or as simple as possible while still providing the critical insight into data. A data science MVP not only makes the analyst’s job faster, less complicated, and less prone to errors, it is also the ideal method for communicating insights with clients and colleagues. In this presentation we will discuss several of the most important elements of MVPs as applied to data science, such as methods for data wrangling, choosing tools for visualization and analysis, designing graphics, and principles of minimally sufficient collaboration and communication.
"Enterprise Architecture and the Information Age Enterprise" @ CSDM2010 Leon Kappelman
Talk I gave in Paris on 28-Oct-10 @ the Complex System Design and Management Conference on "Enterprise Architecture and the Information Age Enterprise." Excellent event, wonderful people, beautiful city.
How to understand trends in the data & software marketmark madsen
The big challenge most analytics and IT professionals face today is dealing with complexity. Trends are still not clear. It helps to look at the past and current state to understand what’s really happening in the data technology market – a whole lot of reinvention and some innovation, but not where you expect it.
We have the (well-understood) problems that we have, with their (well-understood) limitations and intractabilities.
We deal with them in the world in which they were first codified and framed. Paradigms (world views) change as a function of political, economic, technological, cultural, use and growth, however, and when the world changes we’ll have a criteria for framing not just the problems/shortcomings/intractabilities of the prior paradigm, but that paradigm itself.
At that point, however, it will have ceased to matter because we’ll be dealing with fundamentally new problems/shortcomings/intractabilities.
Catalyst 2010 Presentation - Enterprise 2.0 and Observable Workbtullis
Presentation from Catalyst 2010 conference in San Diego. Presenters were Joe Crumpler and Brian Tullis. Describes principles of Observable Work and how they are applied in practice on a large virtual team.
Complex, black-box algorithms may be appropriate when you work with clients who want plug-and-play predictions but for clients in fields like healthcare, education, nonprofits, or management, your will typically need to use approaches that make sense to them and that they can modify or replicate on their own. Those needs rule out many common data science tools, such as Python or R, because they overwhelming for non-specialists, and even common statistical applications such as SPSS or SAS, because they are expensive and not built for replication. The open-source application jamovi, which resembles SPSS but is based on R, represents an ideal compromise for consulting work: it is free, it is powerful, it is exceptionally easy to use, and it designed to facilitate iterative analysis and reproducibility. In this session, you’ll learn the basics of jamovi and how you can best use it for consulting work in data analysis. Free online videos and downloadable resources are also provided via https://datalab.cc/tools/jamovi.
Idea to prototype: An Ideation Pathway for studentsRamneek Kalra
This presentation was shared under IEEE Inspire India School Seminar in Kerala Schools.
Topic of Contents:
- Problem Statement/Idea
- Process of Idea to Prototype
- Available Resources
- Ready to showcase?
For more presentations like this, explore my Slideshare profile.
3D printing has raised a lot of attention from fields outside the manufacturing one in the last years. In this paper, we will illustrate some recent advances of 3D printing technology, applied to the field of telemedicine and remote patient care. The potentiality of this technology will be detailed without lab examples. Some crucial aspect such as the regulation of these devices and the need of some standards will also be discussed. The purpose of this paper is to present some of the most promising applications of such technology.
This webinar will cover common approaches and pitfalls in the successful maintenance of legal aid technology initiatives. It will explore how project upgrades and enhancements fit into a long-term project plan and budget given the dynamic nature of tech tools available. This webinar will also highlight staffing and documentation practices to support knowledge transfer and continuity when there is staff turnover, or when a project begins with a consultant or volunteer and then needs to be sustained in-house. We will feature experienced and newer project managers who are involved in statewide websites, online forms projects, and other technology initiatives to share lessons learned and tips for the future.
In oratory, “brevity is the soul of wit.” In startups, this principle takes the form of the MVP – the “minimum viable product” – with just enough development and functionality to successfully launch a product or service. In data science, this takes the form of visualizations and analyses that are “minimally sufficient” or as simple as possible while still providing the critical insight into data. A data science MVP not only makes the analyst’s job faster, less complicated, and less prone to errors, it is also the ideal method for communicating insights with clients and colleagues. In this presentation we will discuss several of the most important elements of MVPs as applied to data science, such as methods for data wrangling, choosing tools for visualization and analysis, designing graphics, and principles of minimally sufficient collaboration and communication.
"Enterprise Architecture and the Information Age Enterprise" @ CSDM2010 Leon Kappelman
Talk I gave in Paris on 28-Oct-10 @ the Complex System Design and Management Conference on "Enterprise Architecture and the Information Age Enterprise." Excellent event, wonderful people, beautiful city.
How to understand trends in the data & software marketmark madsen
The big challenge most analytics and IT professionals face today is dealing with complexity. Trends are still not clear. It helps to look at the past and current state to understand what’s really happening in the data technology market – a whole lot of reinvention and some innovation, but not where you expect it.
We have the (well-understood) problems that we have, with their (well-understood) limitations and intractabilities.
We deal with them in the world in which they were first codified and framed. Paradigms (world views) change as a function of political, economic, technological, cultural, use and growth, however, and when the world changes we’ll have a criteria for framing not just the problems/shortcomings/intractabilities of the prior paradigm, but that paradigm itself.
At that point, however, it will have ceased to matter because we’ll be dealing with fundamentally new problems/shortcomings/intractabilities.
Catalyst 2010 Presentation - Enterprise 2.0 and Observable Workbtullis
Presentation from Catalyst 2010 conference in San Diego. Presenters were Joe Crumpler and Brian Tullis. Describes principles of Observable Work and how they are applied in practice on a large virtual team.
Complex, black-box algorithms may be appropriate when you work with clients who want plug-and-play predictions but for clients in fields like healthcare, education, nonprofits, or management, your will typically need to use approaches that make sense to them and that they can modify or replicate on their own. Those needs rule out many common data science tools, such as Python or R, because they overwhelming for non-specialists, and even common statistical applications such as SPSS or SAS, because they are expensive and not built for replication. The open-source application jamovi, which resembles SPSS but is based on R, represents an ideal compromise for consulting work: it is free, it is powerful, it is exceptionally easy to use, and it designed to facilitate iterative analysis and reproducibility. In this session, you’ll learn the basics of jamovi and how you can best use it for consulting work in data analysis. Free online videos and downloadable resources are also provided via https://datalab.cc/tools/jamovi.
Idea to prototype: An Ideation Pathway for studentsRamneek Kalra
This presentation was shared under IEEE Inspire India School Seminar in Kerala Schools.
Topic of Contents:
- Problem Statement/Idea
- Process of Idea to Prototype
- Available Resources
- Ready to showcase?
For more presentations like this, explore my Slideshare profile.
3D printing has raised a lot of attention from fields outside the manufacturing one in the last years. In this paper, we will illustrate some recent advances of 3D printing technology, applied to the field of telemedicine and remote patient care. The potentiality of this technology will be detailed without lab examples. Some crucial aspect such as the regulation of these devices and the need of some standards will also be discussed. The purpose of this paper is to present some of the most promising applications of such technology.
The Nuts and Bolts of Teams, Groups and Conversation as-a-ServiceChristian Buckley
Within Office 365, we have multiple methods for social collaboration. Organizations around the world are struggling to understand which tool to use when -- but this is the wrong premise. In this session, we'll discuss the broader concept of 'conversation as a service' and how Microsoft Teams, Outlook Groups, Yammer, and SharePoint all fit together -- and show you how to get the most out of all of them.
How to (and should you?) turn your app idea into a businessProvectus
A comprehensive step-by-step guide for getting your app idea through the complex process of validating, nurturing, creating MVP (minimal viable product), further developing, and getting it out at the market.
Get Your Team to Use and Love Project Management SoftwareOrangescrum
The most important factor for the project management implementation to be a success is getting your team to believe in its potential, see it as a value add and use it to the maximum.
Proven Strategies for increasing Adoption and EngagementChristian Buckley
While Office 365 continues to grow at a rapid rate, adoption can be slow and difficult without a strategy in place. This presentation covers a number of different topics that all have an impact on end user adoption and engagement. This presentation shares: a "go to market" strategy for a successful Office 365 deployment; productivity features that will enhance adoption; strategies for keeping end users engaged; how to track usage and activity so you can measure your success; and touches on many of the productivity features (Groups, Delve, Yammer, co-editing, etc). The primary focus, however, is on the management/ongoing educational aspects of a successful deployment.
Social software lets employees connect and share in new ways, and can dramatically improve the effectiveness of your organization. But social technologies like microblogging, social networking, automated activity feeds, social spreadsheets, wikis, etc. are new to most organizations, and most IT departments don’t have experience with how to successfully implement them.
Success with social software involves a lot more than simply finding the product that best fits your needs. It involves framing the problem appropriately in the first place, defining your business goals, and choosing a rollout methodology designed to meet those goals. It involves selling your CFO, changing behavior across your organization, and more.
This paper is designed to help you learn from the mistakes of others before you, so you can avoid the common pitfalls of social software, and get fast business value.
Communication is omnipresent in every business. While a lot is said and done about Communication Skills improvement, the area of improving Communication Process or the Communication Systems within an organization remains vastly ignored. There are sustainable benefits that can be achieved by improving the business communication system. Some organizations have already realized impressive benefits such as 100%+ improvement in operational efficiency and 50%+ improvement in sales. We cover the latest happenings, how a company can achieve these benefits and the common mistakes that need to be avoided.
To Open Source or Not to Open Source...Where is the ROI?Ted Haeger
This presentation is from Evans Data Corp's 2009 Developer Relations Conference.
It is about how to approach code sharing (Open Source) to enable a developer community.
(We do not confuse Open Source with Free Software. You shouldn't Either.)
6 steps to start your artificial intelligence projectTropos.io
Working in data analytics for fortune 500 companies, we've distilled a practical framework to discover opportunities in data analytics projects in 6 high level steps.
Recession Survival Toolkit: Business Software to Stay AfloatKashish Trivedi
Are you worried the upcoming recession will turn your business to dust? Then you might find this recession survival toolkit of some use. With global growth predicted to slow down by 70%, millions of people are anxious about what’s to come. But I’m here to offer a solution to your concerns: technology. This article will explore the best tools to use during a recession. “Yeah, right! I don’t wanna be spending more during a recession!” So are you ready to find out how tech can help during a recession? Then follow me as I take you through all you need to know to succeed during the economic downturn.
Web 2.0 Collaboration – Using digital tools for redesigning governancePaul Gilbreath
Web 2.0 Collaboration – Using digital tools for redesigning governance. How to design participation to address the organization's goal. By Helio Teixeira. At NYU.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
5. 2. You're Already Collaborating.
For better or worse, you already have a system (or
systems) for collaboration. The sooner you
understand these systems, the more you'll
understand how to improve them.
8. A Journey of a
Thousand Miles Begins with a
Single Step.
Select one tool to start, and
really give it a try.
9. Begin with the End in Mind.
If you don't know where you are going,
there are many ways to get there.
Save yourself some time and draw
a road map of where you want to end up.
15. Align Technology Strategy to
Business Goals.
In a time of reduced budgets,
you must be able to show a business
case for your collaboration tools.
16. Backing Up is
Easy to Do.
Have a procedure for backing up and
making copies of your data, especially
if you are using online services.
17. Be Guided by the
80/20 Rule.
Look for projects or portions of
projects that bring the biggest
results for the least effort.
18. If it Ain't Broke . . .
Facilitate, and do not disrupt,
existing patterns and types of
successful collaboration.
19. The Perfect is the
Enemy of the Good.
"Good enough" projects and plans
that result in action and improvement are
far preferable to perfect plans
that never get off the ground.
20. Balance Your
Collaboration Portfolio.
Rather than focusing on one or two standardized tools,
take a diversified approach and look at your
collaboration tools as a portfolio that includes
conservative and riskier "investments."
21. Create a
"Fail Fast" Mindset.
If something isn't working,
be willing to move on and
try something else.
22. Exhibit #1: Your Tweet
(or IM, or email, etc.)
Social networking provides convenient and
informal tools, but they are all
discoverable electronic communications.
23. Use What You
Already Have.
You may not know it, but the software you already
own probably contains some type of
collaboration component.
24. Develop a Fan Base.
Get your "early adopters" involved from the
beginning, and your pilot projects will have a
better chance of success.
25. Have a Solid Basis
for Choosing Tools.
When you select any collaboration tool, it must
either (a) improve an existing system or
(b) implement a new system that is
measurably better than the system it replaces.
26. Learn From Your Kids.
Watch how younger members of
our legal community use technology,
and collaboration tools in general;
they can probably teach you a lot.
27. People Will Use the
Tool That Actually
Gets the Job Done.
Never underestimate the ability of people
to create work-arounds or bypass firm policies
and procedures if they need to get something done.
28. Reduce Travel Costs
Through Online Collaboration.
Just because you can't meet face-to-face doesn't mean
you can't meet.
29. Don’t Email Large Files.
Email is not an ideal collaboration
tool, and it should definitely
not be used to share large files.
30. "Controlling the Draft" in
the 21st Century.
The idea that a lawyer "controls the draft"
of any legal document is still important,
but collaboration tools have dramatically
changed the way lawyers take control of the draft.
31. Eat Your Own Dog Food.
If you are not using the collaboration tools
you expect others to use, we can
confidently predict your chances for
a successful project will not be good.
32. Encourage Openness.
The more proprietary your collaboration tool,
the more difficult it will be to share data
with people using other tools and formats.
33. Silos, Silos Everywhere.
When you choose a collaboration tool,
be sure it doesn’t create one more silo
of information you must visit each day.
34. Combine Honey with Vinegar?
Consider using inexpensive incentives or small
penalties to get people to use collaboration tools.
35. One IM Tool To
Rule Them All.
If you use more than one IM client, consider
standardizing the platform.
36. Feed Your Collaborators.
Use "alerts" and "feeds" (RSS feeds,
email alerts and the like) to get information
out to your collaborators.
37. Understand Extranets.
Understand the concept of extranets, and why
extranets are the cornerstones of online
collaboration tools.
38. Get a Written Plan.
Committing your collaboration plan to writing
gives it a much better chance of success. It can
be one page of bullet-points
or a hundred page report, but having
it in writing makes a big difference.
39. Be Vigilant.
Watch for developments and news about
security threats and other issues involving
online collaboration services.
40. Know Where Your
Collaborators Are.
People increasingly work in
different places, at different times,
and on different devices, including
smart phones and laptops.
41. Practice Law Like a
Project Manager.
Lawyers and legal professionals
often act as project managers.
Open your eyes to the world of
project management tools,
concepts and approaches.
42. Rethink Email as a
Collaboration Platform.
Email is probably the most common collaboration
tool you use, but it is usually not the best tool,
especially for those with overloaded inboxes
43. Back Away from
That Spreadsheet.
Spreadsheets are good for lists and simple collaboration
tracking efforts, but they become inadequate quickly
when used for project management and other
collaborative efforts.
44. Know When to
Use Online Tools.
Some online tools are not permanent substitutes, in
terms of functionality or security.
45. e-Discovery and
Collaboration Tools.
With the rise in the number of collaboration tools
being used, we are creating a whole new set of
electronically stored information, which is
arguably discoverable in litigation.
46. Use Client Surveys.
Don’t assume – ask. Gather information from a
good cross-sampling of your clients.
47. Let the Client Drive.
If you attempt to use one tool when you’re client uses
another, you’ll probably find a lot of resistance.
48. Use Technology as a Client
Retention Tool.
Use technology initiatives in a way
to increase the costs for a competitor
to steal your client away.
49. Develop Some Policies.
If you don't have at least some rudimentary
form of policy, employees will install and
use the tools they want.
50. Understand the
Uniquely Legal Issues.
You may want to create a policy or document
explaining clients and others about the risks and
special concerns in using these tools.
51. Study Your SLAs.
If you're using an online tool, negotiate a Service Level
Agreement (SLA) that covers uptime, response time,
support coverage, data return, transition, and
escalation.
52. Get Full Disclosure.
Encourage everyone in your office to fully disclose
all collaboration tools, including online services,
they use.
53. Re-Audit Regularly.
Once or twice a year, pick some
of the tools you have been using
and study how they have actually worked for you.
54. Listen – Really Listen
People tend to give more, and
more valuable, feedback when
they know that you are listening to them and
actually paying attention.
55. Learn from the Outside.
Learn from others outside your organization about the
reasons why projects succeed or fail in other places.
56. Start a Collaboration Lab.
Experiment constantly,
especially with free Internet tools.
57. Keep Up!
Keep up with the latest in collaboration tools
by listening to your clients and colleagues
and using resources like
The Lawyer's Guide to Collaboration blog (
www.lawyersguidetocollaboration.com)
and the Collaboration Tools Wiki (
http://collaborationtools.pbwiki.com).