Category Archives: Legal

AI Whispering Digital Co-Counsel for Any Litigation

Are you adequately prepared for your next litigation?  Going into court with an army of Co-Counsel making you feel more confident, more prepared?  Make sure you bring along the AI Whispering Digital Co-Counsel.  Co-Counsel that doesn’t break a sweat, get nervous, and is always prepared.  He even takes the opportunity to learn while on the job, machine learning.

The whispering digital agent for advising litigators “just-in-time” rebuttal citing historical precedence, for example.  Digital Co-Counsel analyzes the dialog within the courtroom to identify ‘goals’, the intent of the conversation(s).  The Digital Co-Counsel identifies the current workflow, which may be identified as Cross or Direct examination, Opening Statement, and Closing Argument.

Realtime observation of a court case and advice based on:
  • Observed dialog interactions between all parties involved in the case, such as opposing counsel,  witnesses, subject matter experts, may trigger “guidance” from the Digital Co-Counsel based on a compound of utterances, and identified workflow.
  • Court case evidence submitted may be digitized, and analyzed based on a [predetermined]combination of identified attributes of submitted evidence.  This evidence, in turn, may be rebutted, by counter arguments, alternate ‘perspectives’ or present “evidence” to rebut
  • The introduction of ‘bias’ toward the opposing council.**

Implementation of the Digital Co-Council may be through a Smartphone application, and use a bluetooth throughout the case.

My opinions are my own, and do not necessarily reflect my employer’s viewpoint.

AI Email Workflows Eliminate Need for Manual Email Responses

When i read the article “How to use Gmail templates to answer emails faster.”  I thought wow, what an 1990s throwback!

Microsoft Outlook has had an AI Email Rules Engine for years and years. From using a simple Wizard to an advanced construction rules user interface. Oh the things you can do. Based on a wide away of ‘out of the box’ identifiers to highly customizable conditions, MS Outlook may take action on the client side of the email transaction or on the server side. What types of actions? All kinds of transactions ranging from ‘out of the box’ to a high degree of customization. And yes, Outlook (in conjunction with MS Exchange) may be identified as a digital asset management (DAM) tool.

Email comes into an inbox, based on “from”, “subject”, contents of email, and a long list of attributes, MS Outlook [optionally with MS Exchange], for example, may push the Email and any attached content, to a server folder, perhaps to Amazon AWS S3, or as simple as an MS Exchange folder.

Then, optionally a ‘backend’ workflow may be triggered, for example, with the use of Microsoft Flow. Where you go from there has almost infinite potential.

Analogously, Google Gmail’s new Inbox UI uses categorization based on ‘some set’ of rules is not something new to the industry, but now Google has the ability. For example, “Group By” through Google’s new Inbox, could be a huge timesaver. Enabling the user to perform actions across predefined email categories, such as delete all “promotional” emails, could be extremely successful. However, I’ve not yet seen the AI rules that identify particular emails as “promotional” verses “financial”. Google is implying these ‘out of the box’ email categories, and the way users interact, take action, are extremely similar per category.

Google may continue to follow in the footsteps of Microsoft, possibly adding the initiation of workflows based on predetermined criteria. Maybe Google will expose its AI (Email) Rules Engine for users to customize their workflows, just as Microsoft did so many years ago.

Although Microsoft’s Outlook (and Exchange) may have been seen as a Digital Asset Management (DAM) tool in the past, the user’s email Inbox folder size could have been identified as one of the few sole inhibitors.  Workaround, of course, using service accounts with vastly higher folder quota / size.

My opinions do not reflect that of my employer.

Microsoft Flow – Platform Review

It looks like Microsoft created a generic workflow platform, product independent.

Microsoft has software solutions, like MS Outlook with an [email] rules engine built into Outlook.  SharePoint has a workflow solution within the Sharepoint Platform, typically governing the content flowing through it’s system.

Microsoft Flow is a different animal.  It seems like Microsoft has built a ‘generic’ rules engine for processing almost any event.  The Flow product:

  1. Start using the product from one of two areas:  a) “My Flows” where I may view existing and create new [work]flows. b) “Activity”, that shows “Notifications” and “Failures”
  2. Select “My Flows”, and the user may “Create [a workflow] from Blank”,  or “Browse Templates”.  MSFT existing set of templates were created by Microsoft, and also by a 3rd party implying a marketplace.
  3. Select “Create from Blank” and the user has a single drop down list of events, a culmination events across Internet products. There is an implication there could be any product, and event “made compatible” with MSFT Flows.
    1. The drop down list of events has a format of “Product – Event”.  As the list of products and events grow, we should see at least two separate drop down lists, one for products, and a sub list for the product specific events.
    2. Several Example Events Include:
      1. “Dropbox – When a file is created”
      2. “Facebook – When there is a new post to my timeline”
      3. “Project Online – When a new task is created”
      4. “RSS – When a feed item is published”
      5. “Salesforce – When an object is created”
    3. The list of products as well as there events may need a business analyst to rationalize the use cases.
  4. Once an Event is selected, event specific details may be required, e.g. Twitter account details, or OneDrive “watch” folder
  5. Next, a Condition may be added to this [work]flow,  and may be specific to the Event type, e.g. OneDrive File Type properties [contains] XYZ value.  There is also an “advanced mode” using a conditional scripting language.
  6. There is “IF YES” and “IF NO” logic, which then allows the user to select one [or more] actions to perform
    1. Several Action Examples Include:
      1. “Excel – Insert Rows”
      2. “FTP – Create File”
      3. “Google Drive – List files in folder”
      4. “Mail – Send email”
      5. “Push Notification – Send a push notification”
    2. Again, it seems like an eclectic bunch of Products, Actions, and Events strung together to have a system to POC.
  7. The Templates list, predefined set of workflows that may be of interest to anyone who does not want to start from scratch.   The UI provides several ways to filter, list, and search through templates.

Applicable to everyday life, from an individual home user, small business, to the enterprise.  At this stage the product seems in Beta at best, or more accurately, just after clickable prototype.  I ran into several errors trying to go through basic use cases, i.e. adding rules.

Despite the “Preview” launch, Microsoft has showed us the power in [work]flow processing regardless of the service platform provider, e.g.  Box, DropBox, Facebook, GitHub, Instagram, Salesforce, Twitter, Google, MailChimp, …

Microsoft may be the glue to combine service providers who may / expose their services to MSFT Flow functionality.

Create from Blank - Select Condition
Create from Blank – Select Condition

 

Create Rule from Template
Create Rule from Template
Create from Blank Rule Building UI
Create from Blank Rule Building UI

 

Update June 28th, 2016:

Opportunities for Event, Condition, Action Rules

  • Transcoding [cloud] Services
  • [IBM Watson] Cognitive APIs
    • e.g. Language:Translation; E.g.2. Visual Recognition;
  • WordPress – Create a Post
    • New text file dropped in specific folder on Box, DropBox, etc. being ‘monitored’ by MSFT flow [?] Additional code required by user for ‘polling’ capabilities
    • OR new text file attached, and emailed to specific email account folder ‘watched’ by MSFT Flow.
    • Event triggers – Automatic read of new text file
      • stylizing may occur if HTML coding used
    • Action – Post to a Blog
  • ‘ANY’ Event occurs, a custom message is sent using Skype for a single or group of Skype accounts;
    • On several ‘eligible’ events, such as “File Creation” into Box,  the file (or file shared URL) may be sent to the Skype account.
  • ‘ANY’ Event occurs, a custom mobile text message is sent to a single or group of phone numbers.
  • Event occurs for “File Creation” e.g. into Box; after passing a “Condition”, actions occur:
    • IBM Watson Cognitive API, Text to Speech, occurs, and the product of the action is placed in the same Box folder.
  • Action: Using Microsoft Edge (powered by MSN), in the “My news feed” tab, enable action to publish “Cards”, such as app notifications

Challenges \ Opportunities \ Unknowns

  • 3rd party companies existing, published [cloud; web service] APIs may not even need any modification to integrate with Microsoft Flow; however, business approval may be required to use the API in this manner,
  • It is unclear re: Flow Templates need to be created by the product owner, e.g. Telestream, or knowledgeable third party, following the Android, iOS, and/or MSFT Mobile Apps model.
  • It is unclear if the MSFT Flow app may be licensed individually in the cloud, within the 365 cloud suite, or offered for Home and\or Business?

Cloud Storage: Ingestion, Management, and Sharing

Cloud Storage Solutions need differentiation that matters, a tipping point to select one platform over the other.

Common Platforms Used:

Differentiation may come in the form of:

  • Collaborative Content Creation Software, such as DropBox Paper enables individuals or teams to produce content, all the while leveraging the Storage platform for e.g. version control,
  • Embedded integration in a suite of content creation applications, such as Microsoft Office, and OneDrive.
  • Making the storage solution available to developers, such as with AWS S3, and Box.  Developers may create apps powered by the Box Platform or custom integrations with Box
  • iCloud enables users to backup their smartphone, as well tightly integrating with the capture and sharing of content, e.g. Photos.

Cloud Content Lifecycle Categories:

  • Content Creation
    • 3rd Party (e.g. Camera) or Integrated Platform Products
  • Content Ingestion
    • Capture Content and Associated Metadata
  • Content Collaboration
    • Share, Update and Distribution
  • Content Discovery
    • Surface Content; Searching and Drill Down
  • Retention Rules
    • Auto expire pointer to content, or underlying content

Cloud Content Ingestion Services:

Cloud Ingestion Services
Cloud Ingestion Services

Applying Gmail Labels Across All Google Assets: Docs, Photos, Contacts + Dashboard, Portal View

Google applications contain [types of] assets,  either created within the application, or imported into the application.    In Gmail, you have objects, emails, and Gmail enables users to add metadata to the email in the form of tags or “Labels”.  Labeling emails is a very easy way to organize these assets, emails.   If you’re a bit more organized, you may even devise a logical taxonomy to classify your emails.

An email can also be put into a folder and this is completely different than what we are talking about with labels.  An email may be placed into a folder, and have a parent child folder hierarchy.  Only the name of the folder, and it’s correlations to positions in the hierarchy provide this relational metadata.

For personal use, or for small to medium size businesses, users may want to categorize  all of the Google “objects” from each Google App,  so why Isn’t there the capability to apply labels across all Google App assets?  If you work at a law firm, for example, and have documents in Google Docs, and use Google for email, it would be ideal to leverage a company wide taxonomy, and upon any internal search discover all objects logically grouped in a container by labels.

For each Google object asset, such as email in Gmail, users may apply N number of labels to each Google Object asset.

A [Google] dashboard, or portal view may be used to display and access Google assets across Google applications, grouped by Labels .  A Google Apps “Portal Search” may consist of queries that contain asset labels.  A  relational, Google object repository containing assets across all object types (e.g. Google Docs), may be leveraged to store metadata about each Google asset and their relationships.

A [Google] dashboard, or portal view may be organized around individuals (e.g. personal), teams, or an organization.  So, in a law firm, for example, a case number label could be applied to Google Docs,  Google Photos (i.e. Photos and Videos),  and of course, Gmail.

A relatively simple feature to be implemented with a lot of value for Google’s clients, us?  So, why isn’t it implemented?

One better, when we have facial recognition code implemented in Photos (and Videos), applying Google labels to media assets may allow for correlation of Emails to Photos with a rule based engine.

The Google Search has expanded into the mobile Google app.

Leveraging Google “Cards“, developers may create “Cards” for a single or group of Google assets.   Grouping of Google assets may be applied using “Labels”.   As Google assets go through a business or personal user workflow, additional metadata may be added to the asset, such as additional “Labels”.

Expanding upon this solution,  scripts may be created to “push” assets through a workflow, perhaps using Google Cloud Functions.  Google “Cards” may be leveraged as “the bit” that informs users when they have new items to process in a workflow.

Metadata, or Labels, may be used such as “Document Ready for Legal Review” or “Legal Document Review Completed”.

AI Assistant Summarizing Email Threads and Complex Documents

“Give me the 50k foot level on that topic.”
“Just give us the cliff notes.”
“Please give me the bird’s eye view.”

AI Email Thread Abstraction and Summarization

A daunting, and highly public email has landed in your lap..top to respond.  The email thread goes between over a dozen people all across the globe.  All of the people on the TO list, and some on the CC list, have expressed their points about … something.  There are junior technical and very senior business staff on the email.  I’ll need to understand the email thread content from the perspective of each person that replied to the thread.  That may involve sifting through each of the emails on the thread.  Even though the people on the emails are English fluent, their response styles may be different based on culture, or seniority of staff (e.g. abstractly written).  Also, the technical folks might want to keep the conversation of the email granular and succinct.
Let’s throw a bit of [AI] automation at this problem.
Another step in our AI personal assistant evolution, email thread aggregation and summarization utilizing cognitive APIs | tools such as what IBM Watson has implemented with their Language APIs.  Based on the documentation provided by their APIs, the above challenges can be resolved for the reader.   A suggestion to an IBM partner for the Watson Cognitive cloud, build an ’email plugin’ if the email product exposes their solution to customization.
A plugin built on top of an email application, flexible enough to allow customization, may be a candidate for Email Thread aggregation and summarization.  Email clients may include IBM Notes, Gmail, (Apple) Mail, Microsoft Outlook, Yahoo! Mail, and OpenText FirstClass.
Add this capability to the job description of AI assistants, such as Cortana, Echo, Siri, and Google Now.   In fact, this plug-in may not need the connectivity and usage of an AI assistant, just the email plug-in interacting with a suite of cognitive cloud API calls.

AI Document Abstraction and Summarization

A plug in may also be created for word processors such as Microsoft Word.   Once activated within a document, a summary page may be created and prefixed to the existing document. There are several use cases, such as a synopsis of the document.
With minimal effort from human input, marking up the content, we would still be able to derive the  contextual metadata, and leverage it to create new sentences, paragraphs of sentences.
Update:
I’ve not seen an AI Outlook integration in the list of MS Outlook Add-ins that would bring this functionality to users.

G.E. Plans Big Entry into IoT, Providing Analytics and Predictive Rules

G.E. Plans App Store for Gears of Industry

The investment of $500 million annually signals the importance of the so-called Internet of Things to the future of manufacturing.

G.E. expects revenue of $6 billion from software in 2015, a 50 percent increase in one year. Much of this is from a pattern-finding system called Predix.  G.E. calls its new service the Predix Cloud, and hopes it will be used by both customers and competitors, along with independent software developers. “We can take sensor data from anybody, though it’s optimized for our own products,” Mr. Ruh said.

[Competitive solutions from IBM, Microsoft, and Google] raises the stakes for G.E. “It’s a whole new competition for them,” said Yefim Natis, a senior analyst with Gartner. “To run businesses in a modern way you have to be analytic and predictive.”

G.E. is running the Predix Cloud on a combination of G.E. computers, the vast computing resources of Amazon Web Services, and a few [local] providers, like China Telecom.

China, along with countries like Germany, [are] sensitive about moving its data offshore, or even holding information on computers in the United States.  
The practice of “Ring fencing”  data exists in dozens of jurisdictions globally.  Ring fencing of data may be a legal and/or regulatory issue, that may inhibit the global growth of cloud services moving forward.

Source: G.E. Plans App Store for Gears of Industry

Wireless Data Plans, Packet Protocols, Granular Reporting

6 Days Left of my Billing Cycle: 0.3 GB Left (out of 10 GB)

Are you kidding me?! I login to AT&T’s Wireless, myAT&T portal to dive into where is all our data going?  I am able to see quite easily what mobile phone number is eating up our plan, but no additional granular information.  AT&T has a great site with lots of good information to help their customers manage their plans.

However, it seems wireless providers leave it up to the handset manufacturers to interpret the usage of the phones. Makes some sense on an individual level, but as multi line / family wireless plans continue to evolve, the growth of wireless services management portals should be spent on providing consumers transparency into their usage, aggregated and granular.

Packets of [wireless] data, bits of information, have a ‘signature’ as they travel through the Internet ether.  Packet protocol defines where the data/information originates, and it’s destination, as well as any other required information by the application sending / receiving the data.  Wireless carriers’, services management portal should allow consumers to slice and drill down to see how data is being used. For example,

Wireless plans of 10 GB is not a lot with teenagers.  You may want to target areas to curtail usage so you aren’t ‘bleeding data’.  At this time, there is not enough transparency on how data is being used from the wireless provider’s usage platform. The provider should be able to parse data packets to quantify how data is being used, and provide reports, e.g.

June 2015 Snapshot for 212-555-1212

231 songs streamed from ABC, N MB; 23 videos watched on YouTube, 2.3 GB; 34 streamed videos from Netflix, 3.2 GB; 345 emails downloaded, 90 MB;

DAM on wireless services:  Application data packet objects may have visibility through Digital Asset Management (DAM), all objects that can be managed, phone calls to chats from Facebook (except where encrypted).

Now take a piece of paper, write privacy on it, then rip it in half and toss it in the garbage.

Mobile OS Patch to Improve Upon Critical Response Time to National Crisis

It sounds a bit odd, but all of this data out there needed for a particular event will be harnessed; however, in this case a vast amount of information has to be called for by whomever, then collected, reviewed manually for relevance and then quality,  analyzed manually, and put through facial recognition.

In this situation, time is against law enforcement, because every minute spent with the above process, is a minute wasted finding possible suspects.

If the Department of Homeland Security were to build an archive data warehouse for images and videos , then with assistance from Mobile OS companies to add an option to the existing share button to add images & video to upload to a national law enforcement archive, a relatively trivial patch e.g. for Android and iOS, part of the process battle is there. Also the user would have to opt in to send their media and therefore there are limited privacy issues.

Image and video facial recognition could start immediately and rerun incrementally based on new media uploaded as the trigger. If the user does allow the media to be shared, they can add an event name, or select from a DHS list, put notes if the user chooses, automatically date time stamp the media, optionally GEO stamped, and select anonymous or allow the sending the user’s contact info stored. Now the true human analysis work may begin without many manual steps.