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Is Repeated Review Always Necessary?

x min read

Legal teams often review the same data multiple times from one matter to the next.

What if they didn’t have to?  

With a combination of strategy and technology, teams can minimize re-review and increase efficiency and consistency across matters.

Imagine the time, money, and risk you could save if you weren’t reviewing the same documents over and over again across matters.

Three bold teal arrows pointing right on a white background.

Review is Rife with Redundancy

Say you’re facing discovery for a cluster of related matters in different jurisdictions. Each matter has the same data and general relevancy parameters. But your default workflow means conducting review on all matters separately, reviewing the same documents multiple times.  

What if you could synchronize your work across related matters to avoid redundant review work?

Imagine the time, money, and risk you could save if you weren’t reviewing the same documents over and over again across matters.

Three bold teal arrows pointing right on a white background.

Review is Rife with Redundancy

Say you’re facing discovery for a cluster of related matters in different jurisdictions. Each matter has the same data and general relevancy parameters. But your default workflow means conducting review on all matters separately, reviewing the same documents multiple times.  

What if you could synchronize your work across related matters to avoid redundant review work?

Imagine the time, money, and risk you could save if you weren’t reviewing the same documents over and over again across matters.

Imagine the time, money, and risk you could save if you weren’t reviewing the same documents over and over again across matters.

Three bold teal arrows pointing right on a white background.

Review is Rife with Redundancy

Say you’re facing discovery for a cluster of related matters in different jurisdictions. Each matter has the same data and general relevancy parameters. But your default workflow means conducting review on all matters separately, reviewing the same documents multiple times.  

What if you could synchronize your work across related matters to avoid redundant review work?

quotation mark iconquotation mark icon

Imagine the time, money, and risk you could save if you weren’t reviewing the same documents over and over again across matters.

Imagine the time, money, and risk you could save if you weren’t reviewing the same documents over and over again across matters.

Imagine the time, money, and risk you could save if you weren’t reviewing the same documents over and over again across matters.

A female lawyer looking out the window, holding a tablet.slanted orange lines
A man and a woman looking at a tablet in an office building.slanted orange lines

Imagine the time, money, and risk you could save if you weren’t reviewing the same documents over and over again across matters.

Imagine the time, money, and risk you could save if you weren’t reviewing the same documents over and over again across matters.

Three bold teal arrows pointing right on a white background.

Review is Rife with Redundancy

Say you’re facing discovery for a cluster of related matters in different jurisdictions. Each matter has the same data and general relevancy parameters. But your default workflow means conducting review on all matters separately, reviewing the same documents multiple times.  

What if you could synchronize your work across related matters to avoid redundant review work?

icon of a down arrowicon of a down arrowicon of a down arrow

Imagine the time, money, and risk you could save if you weren’t reviewing the same documents over and over again across matters.

Three bold teal arrows pointing right on a white background.

Review is Rife with Redundancy

Say you’re facing discovery for a cluster of related matters in different jurisdictions. Each matter has the same data and general relevancy parameters. But your default workflow means conducting review on all matters separately, reviewing the same documents multiple times.  

What if you could synchronize your work across related matters to avoid redundant review work?

Imagine the time, money, and risk you could save if you weren’t reviewing the same documents over and over again across matters.

Three bold teal arrows pointing right on a white background.

Review is Rife with Redundancy

Say you’re facing discovery for a cluster of related matters in different jurisdictions. Each matter has the same data and general relevancy parameters. But your default workflow means conducting review on all matters separately, reviewing the same documents multiple times.  

What if you could synchronize your work across related matters to avoid redundant review work?

Now imagine you’re handling a government investigation related to product liability, with spin-off civil litigations sure to follow. You know relevancy for those litigations will overlap with the government investigation, but you’re unsure of the exact parameters. So, you take a deep breath and prepare for the long slog of conducting review for each matter separately.

What if you could prepare for that next matter in a way that drastically minimized the need for re-review?

Or, say you’re a few months out from completing discovery on an IP litigation, and another IP litigation comes down the pipe. It involves many of the same custodians and data, but it’s for a different product and has no overlapping relevancy parameters. You don’t even consider how you might coordinate review across these matters because it seems impossible.  

What if it is possible?

Imagine the time, money, and risk you could save if you weren’t reviewing the same documents over and over again across matters.

Now imagine you’re handling a government investigation related to product liability, with spin-off civil litigations sure to follow. You know relevancy for those litigations will overlap with the government investigation, but you’re unsure of the exact parameters. So, you take a deep breath and prepare for the long slog of conducting review for each matter separately.

What if you could prepare for that next matter in a way that drastically minimized the need for re-review?

Or, say you’re a few months out from completing discovery on an IP litigation, and another IP litigation comes down the pipe. It involves many of the same custodians and data, but it’s for a different product and has no overlapping relevancy parameters. You don’t even consider how you might coordinate review across these matters because it seems impossible.  

What if it is possible?

Imagine the time, money, and risk you could save if you weren’t reviewing the same documents over and over again across matters.

Now imagine you’re handling a government investigation related to product liability, with spin-off civil litigations sure to follow. You know relevancy for those litigations will overlap with the government investigation, but you’re unsure of the exact parameters. So, you take a deep breath and prepare for the long slog of conducting review for each matter separately.

What if you could prepare for that next matter in a way that drastically minimized the need for re-review?

Or, say you’re a few months out from completing discovery on an IP litigation, and another IP litigation comes down the pipe. It involves many of the same custodians and data, but it’s for a different product and has no overlapping relevancy parameters. You don’t even consider how you might coordinate review across these matters because it seems impossible.  

What if it is possible?

Imagine the time, money, and risk you could save if you weren’t reviewing the same documents over and over again across matters.

Now imagine you’re handling a government investigation related to product liability, with spin-off civil litigations sure to follow. You know relevancy for those litigations will overlap with the government investigation, but you’re unsure of the exact parameters. So, you take a deep breath and prepare for the long slog of conducting review for each matter separately.

What if you could prepare for that next matter in a way that drastically minimized the need for re-review?

Or, say you’re a few months out from completing discovery on an IP litigation, and another IP litigation comes down the pipe. It involves many of the same custodians and data, but it’s for a different product and has no overlapping relevancy parameters. You don’t even consider how you might coordinate review across these matters because it seems impossible.  

What if it is possible?

Imagine the time, money, and risk you could save if you weren’t reviewing the same documents over and over again across matters.

quotation mark iconquotation mark icon

Now imagine you’re handling a government investigation related to product liability, with spin-off civil litigations sure to follow. You know relevancy for those litigations will overlap with the government investigation, but you’re unsure of the exact parameters. So, you take a deep breath and prepare for the long slog of conducting review for each matter separately.

What if you could prepare for that next matter in a way that drastically minimized the need for re-review?

Or, say you’re a few months out from completing discovery on an IP litigation, and another IP litigation comes down the pipe. It involves many of the same custodians and data, but it’s for a different product and has no overlapping relevancy parameters. You don’t even consider how you might coordinate review across these matters because it seems impossible.  

What if it is possible?

Imagine the time, money, and risk you could save if you weren’t reviewing the same documents over and over again across matters.

Now imagine you’re handling a government investigation related to product liability, with spin-off civil litigations sure to follow. You know relevancy for those litigations will overlap with the government investigation, but you’re unsure of the exact parameters. So, you take a deep breath and prepare for the long slog of conducting review for each matter separately.

What if you could prepare for that next matter in a way that drastically minimized the need for re-review?

Or, say you’re a few months out from completing discovery on an IP litigation, and another IP litigation comes down the pipe. It involves many of the same custodians and data, but it’s for a different product and has no overlapping relevancy parameters. You don’t even consider how you might coordinate review across these matters because it seems impossible.  

What if it is possible?

Imagine the time, money, and risk you could save if you weren’t reviewing the same documents over and over again across matters.

Now imagine you’re handling a government investigation related to product liability, with spin-off civil litigations sure to follow. You know relevancy for those litigations will overlap with the government investigation, but you’re unsure of the exact parameters. So, you take a deep breath and prepare for the long slog of conducting review for each matter separately.

What if you could prepare for that next matter in a way that drastically minimized the need for re-review?

Or, say you’re a few months out from completing discovery on an IP litigation, and another IP litigation comes down the pipe. It involves many of the same custodians and data, but it’s for a different product and has no overlapping relevancy parameters. You don’t even consider how you might coordinate review across these matters because it seems impossible.  

What if it is possible?

Imagine the time, money, and risk you could save if you weren’t reviewing the same documents over and over again across matters.

A female lawyer looking out the window, holding a tablet.slanted orange lines
A man and a woman looking at a tablet in an office building.slanted orange lines

Now imagine you’re handling a government investigation related to product liability, with spin-off civil litigations sure to follow. You know relevancy for those litigations will overlap with the government investigation, but you’re unsure of the exact parameters. So, you take a deep breath and prepare for the long slog of conducting review for each matter separately.

What if you could prepare for that next matter in a way that drastically minimized the need for re-review?

Or, say you’re a few months out from completing discovery on an IP litigation, and another IP litigation comes down the pipe. It involves many of the same custodians and data, but it’s for a different product and has no overlapping relevancy parameters. You don’t even consider how you might coordinate review across these matters because it seems impossible.  

What if it is possible?

Imagine the time, money, and risk you could save if you weren’t reviewing the same documents over and over again across matters.

Now imagine you’re handling a government investigation related to product liability, with spin-off civil litigations sure to follow. You know relevancy for those litigations will overlap with the government investigation, but you’re unsure of the exact parameters. So, you take a deep breath and prepare for the long slog of conducting review for each matter separately.

What if you could prepare for that next matter in a way that drastically minimized the need for re-review?

Or, say you’re a few months out from completing discovery on an IP litigation, and another IP litigation comes down the pipe. It involves many of the same custodians and data, but it’s for a different product and has no overlapping relevancy parameters. You don’t even consider how you might coordinate review across these matters because it seems impossible.  

What if it is possible?

Imagine the time, money, and risk you could save if you weren’t reviewing the same documents over and over again across matters.

icon of a down arrowicon of a down arrowicon of a down arrow

Now imagine you’re handling a government investigation related to product liability, with spin-off civil litigations sure to follow. You know relevancy for those litigations will overlap with the government investigation, but you’re unsure of the exact parameters. So, you take a deep breath and prepare for the long slog of conducting review for each matter separately.

What if you could prepare for that next matter in a way that drastically minimized the need for re-review?

Or, say you’re a few months out from completing discovery on an IP litigation, and another IP litigation comes down the pipe. It involves many of the same custodians and data, but it’s for a different product and has no overlapping relevancy parameters. You don’t even consider how you might coordinate review across these matters because it seems impossible.  

What if it is possible?

Imagine the time, money, and risk you could save if you weren’t reviewing the same documents over and over again across matters.

Now imagine you’re handling a government investigation related to product liability, with spin-off civil litigations sure to follow. You know relevancy for those litigations will overlap with the government investigation, but you’re unsure of the exact parameters. So, you take a deep breath and prepare for the long slog of conducting review for each matter separately.

What if you could prepare for that next matter in a way that drastically minimized the need for re-review?

Or, say you’re a few months out from completing discovery on an IP litigation, and another IP litigation comes down the pipe. It involves many of the same custodians and data, but it’s for a different product and has no overlapping relevancy parameters. You don’t even consider how you might coordinate review across these matters because it seems impossible.  

What if it is possible?

Imagine the time, money, and risk you could save if you weren’t reviewing the same documents over and over again across matters.

quotation mark iconquotation mark icon
A female lawyer looking out the window, holding a tablet.slanted orange lines
A man and a woman looking at a tablet in an office building.slanted orange lines
icon of a down arrowicon of a down arrowicon of a down arrow

See the Value by Starting Small

Reusing work product and avoiding repeated review across matters may seem too complicated, time consuming, or untrustworthy. Those misgivings are real—but they’re not unlike the uncertainty we all felt when electronically stored information (ESI) began to replace paper documents. As attorneys and eDiscovery providers found ways to use technology to make the review of ESI manageable and reliable, the entire eDiscovery process evolved. The same can happen with AI review technology and other strategies that reduce re-review. Utilizing them is simply another necessary step in the continued evolution of modern eDiscovery.  

Text document states 'Document appears blank in all views' with statistics: 80 review workspaces and 6,800 coding decisions.

The key is to start small. For example:  

  • Build a junk bank to avoid re-reviewing objectively non-responsive documents
  • Test an advanced AI tool on a single classification type in a single matter
  • Work with your case team and review provider to perform a post-matter assessment, identifying learnings and decisions that can be leveraged in future matters to reduce re-work

There’s no silver bullet that automatically applies work from past matters to current matters in the exact right way. But there are several steps you can take right now to maximize the value of the review work you already do by applying it to other matters with similar data.

Overcoming Barriers to a New Approach

Table with barriers, small steps, and results on adopting new technology followed by key benefits of efficiency and focus.

See the Value by Starting Small

Reusing work product and avoiding repeated review across matters may seem too complicated, time consuming, or untrustworthy. Those misgivings are real—but they’re not unlike the uncertainty we all felt when electronically stored information (ESI) began to replace paper documents. As attorneys and eDiscovery providers found ways to use technology to make the review of ESI manageable and reliable, the entire eDiscovery process evolved. The same can happen with AI review technology and other strategies that reduce re-review. Utilizing them is simply another necessary step in the continued evolution of modern eDiscovery.  

Text document states 'Document appears blank in all views' with statistics: 80 review workspaces and 6,800 coding decisions.

The key is to start small. For example:  

  • Build a junk bank to avoid re-reviewing objectively non-responsive documents
  • Test an advanced AI tool on a single classification type in a single matter
  • Work with your case team and review provider to perform a post-matter assessment, identifying learnings and decisions that can be leveraged in future matters to reduce re-work

There’s no silver bullet that automatically applies work from past matters to current matters in the exact right way. But there are several steps you can take right now to maximize the value of the review work you already do by applying it to other matters with similar data.

Overcoming Barriers to a New Approach

Table with barriers, small steps, and results on adopting new technology followed by key benefits of efficiency and focus.

See the Value by Starting Small

Reusing work product and avoiding repeated review across matters may seem too complicated, time consuming, or untrustworthy. Those misgivings are real—but they’re not unlike the uncertainty we all felt when electronically stored information (ESI) began to replace paper documents. As attorneys and eDiscovery providers found ways to use technology to make the review of ESI manageable and reliable, the entire eDiscovery process evolved. The same can happen with AI review technology and other strategies that reduce re-review. Utilizing them is simply another necessary step in the continued evolution of modern eDiscovery.  

Text document states 'Document appears blank in all views' with statistics: 80 review workspaces and 6,800 coding decisions.

The key is to start small. For example:  

  • Build a junk bank to avoid re-reviewing objectively non-responsive documents
  • Test an advanced AI tool on a single classification type in a single matter
  • Work with your case team and review provider to perform a post-matter assessment, identifying learnings and decisions that can be leveraged in future matters to reduce re-work

There’s no silver bullet that automatically applies work from past matters to current matters in the exact right way. But there are several steps you can take right now to maximize the value of the review work you already do by applying it to other matters with similar data.

Overcoming Barriers to a New Approach

Table with barriers, small steps, and results on adopting new technology followed by key benefits of efficiency and focus.

See the Value by Starting Small

Reusing work product and avoiding repeated review across matters may seem too complicated, time consuming, or untrustworthy. Those misgivings are real—but they’re not unlike the uncertainty we all felt when electronically stored information (ESI) began to replace paper documents. As attorneys and eDiscovery providers found ways to use technology to make the review of ESI manageable and reliable, the entire eDiscovery process evolved. The same can happen with AI review technology and other strategies that reduce re-review. Utilizing them is simply another necessary step in the continued evolution of modern eDiscovery.  

Text document states 'Document appears blank in all views' with statistics: 80 review workspaces and 6,800 coding decisions.

The key is to start small. For example:  

  • Build a junk bank to avoid re-reviewing objectively non-responsive documents
  • Test an advanced AI tool on a single classification type in a single matter
  • Work with your case team and review provider to perform a post-matter assessment, identifying learnings and decisions that can be leveraged in future matters to reduce re-work

There’s no silver bullet that automatically applies work from past matters to current matters in the exact right way. But there are several steps you can take right now to maximize the value of the review work you already do by applying it to other matters with similar data.

Overcoming Barriers to a New Approach

Table with barriers, small steps, and results on adopting new technology followed by key benefits of efficiency and focus.

quotation mark iconquotation mark icon

See the Value by Starting Small

Reusing work product and avoiding repeated review across matters may seem too complicated, time consuming, or untrustworthy. Those misgivings are real—but they’re not unlike the uncertainty we all felt when electronically stored information (ESI) began to replace paper documents. As attorneys and eDiscovery providers found ways to use technology to make the review of ESI manageable and reliable, the entire eDiscovery process evolved. The same can happen with AI review technology and other strategies that reduce re-review. Utilizing them is simply another necessary step in the continued evolution of modern eDiscovery.  

Text document states 'Document appears blank in all views' with statistics: 80 review workspaces and 6,800 coding decisions.

The key is to start small. For example:  

  • Build a junk bank to avoid re-reviewing objectively non-responsive documents
  • Test an advanced AI tool on a single classification type in a single matter
  • Work with your case team and review provider to perform a post-matter assessment, identifying learnings and decisions that can be leveraged in future matters to reduce re-work

There’s no silver bullet that automatically applies work from past matters to current matters in the exact right way. But there are several steps you can take right now to maximize the value of the review work you already do by applying it to other matters with similar data.

Overcoming Barriers to a New Approach

Table with barriers, small steps, and results on adopting new technology followed by key benefits of efficiency and focus.

See the Value by Starting Small

Reusing work product and avoiding repeated review across matters may seem too complicated, time consuming, or untrustworthy. Those misgivings are real—but they’re not unlike the uncertainty we all felt when electronically stored information (ESI) began to replace paper documents. As attorneys and eDiscovery providers found ways to use technology to make the review of ESI manageable and reliable, the entire eDiscovery process evolved. The same can happen with AI review technology and other strategies that reduce re-review. Utilizing them is simply another necessary step in the continued evolution of modern eDiscovery.  

Text document states 'Document appears blank in all views' with statistics: 80 review workspaces and 6,800 coding decisions.

The key is to start small. For example:  

  • Build a junk bank to avoid re-reviewing objectively non-responsive documents
  • Test an advanced AI tool on a single classification type in a single matter
  • Work with your case team and review provider to perform a post-matter assessment, identifying learnings and decisions that can be leveraged in future matters to reduce re-work

There’s no silver bullet that automatically applies work from past matters to current matters in the exact right way. But there are several steps you can take right now to maximize the value of the review work you already do by applying it to other matters with similar data.

Overcoming Barriers to a New Approach

Table with barriers, small steps, and results on adopting new technology followed by key benefits of efficiency and focus.

See the Value by Starting Small

Reusing work product and avoiding repeated review across matters may seem too complicated, time consuming, or untrustworthy. Those misgivings are real—but they’re not unlike the uncertainty we all felt when electronically stored information (ESI) began to replace paper documents. As attorneys and eDiscovery providers found ways to use technology to make the review of ESI manageable and reliable, the entire eDiscovery process evolved. The same can happen with AI review technology and other strategies that reduce re-review. Utilizing them is simply another necessary step in the continued evolution of modern eDiscovery.  

Text document states 'Document appears blank in all views' with statistics: 80 review workspaces and 6,800 coding decisions.

The key is to start small. For example:  

  • Build a junk bank to avoid re-reviewing objectively non-responsive documents
  • Test an advanced AI tool on a single classification type in a single matter
  • Work with your case team and review provider to perform a post-matter assessment, identifying learnings and decisions that can be leveraged in future matters to reduce re-work

There’s no silver bullet that automatically applies work from past matters to current matters in the exact right way. But there are several steps you can take right now to maximize the value of the review work you already do by applying it to other matters with similar data.

Overcoming Barriers to a New Approach

Table with barriers, small steps, and results on adopting new technology followed by key benefits of efficiency and focus.

A female lawyer looking out the window, holding a tablet.slanted orange lines
A man and a woman looking at a tablet in an office building.slanted orange lines

See the Value by Starting Small

Reusing work product and avoiding repeated review across matters may seem too complicated, time consuming, or untrustworthy. Those misgivings are real—but they’re not unlike the uncertainty we all felt when electronically stored information (ESI) began to replace paper documents. As attorneys and eDiscovery providers found ways to use technology to make the review of ESI manageable and reliable, the entire eDiscovery process evolved. The same can happen with AI review technology and other strategies that reduce re-review. Utilizing them is simply another necessary step in the continued evolution of modern eDiscovery.  

Text document states 'Document appears blank in all views' with statistics: 80 review workspaces and 6,800 coding decisions.

The key is to start small. For example:  

  • Build a junk bank to avoid re-reviewing objectively non-responsive documents
  • Test an advanced AI tool on a single classification type in a single matter
  • Work with your case team and review provider to perform a post-matter assessment, identifying learnings and decisions that can be leveraged in future matters to reduce re-work

There’s no silver bullet that automatically applies work from past matters to current matters in the exact right way. But there are several steps you can take right now to maximize the value of the review work you already do by applying it to other matters with similar data.

Overcoming Barriers to a New Approach

Table with barriers, small steps, and results on adopting new technology followed by key benefits of efficiency and focus.

See the Value by Starting Small

Reusing work product and avoiding repeated review across matters may seem too complicated, time consuming, or untrustworthy. Those misgivings are real—but they’re not unlike the uncertainty we all felt when electronically stored information (ESI) began to replace paper documents. As attorneys and eDiscovery providers found ways to use technology to make the review of ESI manageable and reliable, the entire eDiscovery process evolved. The same can happen with AI review technology and other strategies that reduce re-review. Utilizing them is simply another necessary step in the continued evolution of modern eDiscovery.  

Text document states 'Document appears blank in all views' with statistics: 80 review workspaces and 6,800 coding decisions.

The key is to start small. For example:  

  • Build a junk bank to avoid re-reviewing objectively non-responsive documents
  • Test an advanced AI tool on a single classification type in a single matter
  • Work with your case team and review provider to perform a post-matter assessment, identifying learnings and decisions that can be leveraged in future matters to reduce re-work

There’s no silver bullet that automatically applies work from past matters to current matters in the exact right way. But there are several steps you can take right now to maximize the value of the review work you already do by applying it to other matters with similar data.

Overcoming Barriers to a New Approach

Table with barriers, small steps, and results on adopting new technology followed by key benefits of efficiency and focus.

icon of a down arrowicon of a down arrowicon of a down arrow

See the Value by Starting Small

Reusing work product and avoiding repeated review across matters may seem too complicated, time consuming, or untrustworthy. Those misgivings are real—but they’re not unlike the uncertainty we all felt when electronically stored information (ESI) began to replace paper documents. As attorneys and eDiscovery providers found ways to use technology to make the review of ESI manageable and reliable, the entire eDiscovery process evolved. The same can happen with AI review technology and other strategies that reduce re-review. Utilizing them is simply another necessary step in the continued evolution of modern eDiscovery.  

Text document states 'Document appears blank in all views' with statistics: 80 review workspaces and 6,800 coding decisions.

The key is to start small. For example:  

  • Build a junk bank to avoid re-reviewing objectively non-responsive documents
  • Test an advanced AI tool on a single classification type in a single matter
  • Work with your case team and review provider to perform a post-matter assessment, identifying learnings and decisions that can be leveraged in future matters to reduce re-work

There’s no silver bullet that automatically applies work from past matters to current matters in the exact right way. But there are several steps you can take right now to maximize the value of the review work you already do by applying it to other matters with similar data.

Overcoming Barriers to a New Approach

Table with barriers, small steps, and results on adopting new technology followed by key benefits of efficiency and focus.

See the Value by Starting Small

Reusing work product and avoiding repeated review across matters may seem too complicated, time consuming, or untrustworthy. Those misgivings are real—but they’re not unlike the uncertainty we all felt when electronically stored information (ESI) began to replace paper documents. As attorneys and eDiscovery providers found ways to use technology to make the review of ESI manageable and reliable, the entire eDiscovery process evolved. The same can happen with AI review technology and other strategies that reduce re-review. Utilizing them is simply another necessary step in the continued evolution of modern eDiscovery.  

Text document states 'Document appears blank in all views' with statistics: 80 review workspaces and 6,800 coding decisions.

The key is to start small. For example:  

  • Build a junk bank to avoid re-reviewing objectively non-responsive documents
  • Test an advanced AI tool on a single classification type in a single matter
  • Work with your case team and review provider to perform a post-matter assessment, identifying learnings and decisions that can be leveraged in future matters to reduce re-work

There’s no silver bullet that automatically applies work from past matters to current matters in the exact right way. But there are several steps you can take right now to maximize the value of the review work you already do by applying it to other matters with similar data.

Overcoming Barriers to a New Approach

Table with barriers, small steps, and results on adopting new technology followed by key benefits of efficiency and focus.

Three large teal arrows pointing right on a white background.

eDiscovery Software for Reducing Re-Review

Legal teams can choose from a variety of advanced technology and technology-powered workflows that can help minimize the need for re-review. Overall, the best approach involves having a variety of technological tools and expertise that can be combined and deployed in different ways, depending on the type of investigation or matter.

Table showing methods TAR 1.0, Concept Clustering, Linguistics, and AI analytics with their functions and details.
Three large teal arrows pointing right on a white background.

eDiscovery Software for Reducing Re-Review

Legal teams can choose from a variety of advanced technology and technology-powered workflows that can help minimize the need for re-review. Overall, the best approach involves having a variety of technological tools and expertise that can be combined and deployed in different ways, depending on the type of investigation or matter.

Table showing methods TAR 1.0, Concept Clustering, Linguistics, and AI analytics with their functions and details.
Three large teal arrows pointing right on a white background.

eDiscovery Software for Reducing Re-Review

Legal teams can choose from a variety of advanced technology and technology-powered workflows that can help minimize the need for re-review. Overall, the best approach involves having a variety of technological tools and expertise that can be combined and deployed in different ways, depending on the type of investigation or matter.

Table showing methods TAR 1.0, Concept Clustering, Linguistics, and AI analytics with their functions and details.
Three large teal arrows pointing right on a white background.

eDiscovery Software for Reducing Re-Review

Legal teams can choose from a variety of advanced technology and technology-powered workflows that can help minimize the need for re-review. Overall, the best approach involves having a variety of technological tools and expertise that can be combined and deployed in different ways, depending on the type of investigation or matter.

Table showing methods TAR 1.0, Concept Clustering, Linguistics, and AI analytics with their functions and details.
quotation mark iconquotation mark icon
Three large teal arrows pointing right on a white background.

eDiscovery Software for Reducing Re-Review

Legal teams can choose from a variety of advanced technology and technology-powered workflows that can help minimize the need for re-review. Overall, the best approach involves having a variety of technological tools and expertise that can be combined and deployed in different ways, depending on the type of investigation or matter.

Table showing methods TAR 1.0, Concept Clustering, Linguistics, and AI analytics with their functions and details.
Three large teal arrows pointing right on a white background.

eDiscovery Software for Reducing Re-Review

Legal teams can choose from a variety of advanced technology and technology-powered workflows that can help minimize the need for re-review. Overall, the best approach involves having a variety of technological tools and expertise that can be combined and deployed in different ways, depending on the type of investigation or matter.

Table showing methods TAR 1.0, Concept Clustering, Linguistics, and AI analytics with their functions and details.
Three large teal arrows pointing right on a white background.

eDiscovery Software for Reducing Re-Review

Legal teams can choose from a variety of advanced technology and technology-powered workflows that can help minimize the need for re-review. Overall, the best approach involves having a variety of technological tools and expertise that can be combined and deployed in different ways, depending on the type of investigation or matter.

Table showing methods TAR 1.0, Concept Clustering, Linguistics, and AI analytics with their functions and details.
A female lawyer looking out the window, holding a tablet.slanted orange lines
A man and a woman looking at a tablet in an office building.slanted orange lines
Three large teal arrows pointing right on a white background.

eDiscovery Software for Reducing Re-Review

Legal teams can choose from a variety of advanced technology and technology-powered workflows that can help minimize the need for re-review. Overall, the best approach involves having a variety of technological tools and expertise that can be combined and deployed in different ways, depending on the type of investigation or matter.

Table showing methods TAR 1.0, Concept Clustering, Linguistics, and AI analytics with their functions and details.
Three large teal arrows pointing right on a white background.

eDiscovery Software for Reducing Re-Review

Legal teams can choose from a variety of advanced technology and technology-powered workflows that can help minimize the need for re-review. Overall, the best approach involves having a variety of technological tools and expertise that can be combined and deployed in different ways, depending on the type of investigation or matter.

Table showing methods TAR 1.0, Concept Clustering, Linguistics, and AI analytics with their functions and details.
icon of a down arrowicon of a down arrowicon of a down arrow
Three large teal arrows pointing right on a white background.

eDiscovery Software for Reducing Re-Review

Legal teams can choose from a variety of advanced technology and technology-powered workflows that can help minimize the need for re-review. Overall, the best approach involves having a variety of technological tools and expertise that can be combined and deployed in different ways, depending on the type of investigation or matter.

Table showing methods TAR 1.0, Concept Clustering, Linguistics, and AI analytics with their functions and details.
Three large teal arrows pointing right on a white background.

eDiscovery Software for Reducing Re-Review

Legal teams can choose from a variety of advanced technology and technology-powered workflows that can help minimize the need for re-review. Overall, the best approach involves having a variety of technological tools and expertise that can be combined and deployed in different ways, depending on the type of investigation or matter.

Table showing methods TAR 1.0, Concept Clustering, Linguistics, and AI analytics with their functions and details.

Approaching Review with Other Matters in Mind

As useful as technology is, the most important factor in minimizing re-review is mindset.  

You have to remind yourself to look forward before a matter begins, to set your work up to be reused. After the matter, you have to remember to look back and use what you’ve done to inform future matters.

Before the Matter

You can plan ahead by anticipating overlap with future matters and getting your databases and technology lined up. While all matters will have different nuances, anticipating how your work on a current matter could apply to future matters will help your team be more strategic.

Minimizing Rework (Review & Redactions): Getting Ready Before the Matter

During the Matter

Now it’s time for your planning to pay off. If you didn’t plan ahead, you can still deploy some tactics during a matter that will help in the future.

Minimizing Rework (Review & Redactions): Execution During a Matter

table with checkmarks

After the Matter

Taking time to look back on a completed matter can set you up for success on the next one. Teams can leverage linguistic analysis to conduct root-cause assessments, then use those assessments to re-train and educate internal and external teams before the next matter. This supports cross-matter consistency and minimal re-review—for instance, by recalibrating a team’s approach to privilege scope on specific documents.

Approaching Review with Other Matters in Mind

As useful as technology is, the most important factor in minimizing re-review is mindset.  

You have to remind yourself to look forward before a matter begins, to set your work up to be reused. After the matter, you have to remember to look back and use what you’ve done to inform future matters.

Before the Matter

You can plan ahead by anticipating overlap with future matters and getting your databases and technology lined up. While all matters will have different nuances, anticipating how your work on a current matter could apply to future matters will help your team be more strategic.

Minimizing Rework (Review & Redactions): Getting Ready Before the Matter

During the Matter

Now it’s time for your planning to pay off. If you didn’t plan ahead, you can still deploy some tactics during a matter that will help in the future.

Minimizing Rework (Review & Redactions): Execution During a Matter

table with checkmarks

After the Matter

Taking time to look back on a completed matter can set you up for success on the next one. Teams can leverage linguistic analysis to conduct root-cause assessments, then use those assessments to re-train and educate internal and external teams before the next matter. This supports cross-matter consistency and minimal re-review—for instance, by recalibrating a team’s approach to privilege scope on specific documents.

Approaching Review with Other Matters in Mind

As useful as technology is, the most important factor in minimizing re-review is mindset.  

You have to remind yourself to look forward before a matter begins, to set your work up to be reused. After the matter, you have to remember to look back and use what you’ve done to inform future matters.

Before the Matter

You can plan ahead by anticipating overlap with future matters and getting your databases and technology lined up. While all matters will have different nuances, anticipating how your work on a current matter could apply to future matters will help your team be more strategic.

Minimizing Rework (Review & Redactions): Getting Ready Before the Matter

During the Matter

Now it’s time for your planning to pay off. If you didn’t plan ahead, you can still deploy some tactics during a matter that will help in the future.

Minimizing Rework (Review & Redactions): Execution During a Matter

table with checkmarks

After the Matter

Taking time to look back on a completed matter can set you up for success on the next one. Teams can leverage linguistic analysis to conduct root-cause assessments, then use those assessments to re-train and educate internal and external teams before the next matter. This supports cross-matter consistency and minimal re-review—for instance, by recalibrating a team’s approach to privilege scope on specific documents.

Approaching Review with Other Matters in Mind

As useful as technology is, the most important factor in minimizing re-review is mindset.  

You have to remind yourself to look forward before a matter begins, to set your work up to be reused. After the matter, you have to remember to look back and use what you’ve done to inform future matters.

Before the Matter

You can plan ahead by anticipating overlap with future matters and getting your databases and technology lined up. While all matters will have different nuances, anticipating how your work on a current matter could apply to future matters will help your team be more strategic.

Minimizing Rework (Review & Redactions): Getting Ready Before the Matter

During the Matter

Now it’s time for your planning to pay off. If you didn’t plan ahead, you can still deploy some tactics during a matter that will help in the future.

Minimizing Rework (Review & Redactions): Execution During a Matter

table with checkmarks

After the Matter

Taking time to look back on a completed matter can set you up for success on the next one. Teams can leverage linguistic analysis to conduct root-cause assessments, then use those assessments to re-train and educate internal and external teams before the next matter. This supports cross-matter consistency and minimal re-review—for instance, by recalibrating a team’s approach to privilege scope on specific documents.

quotation mark iconquotation mark icon

Approaching Review with Other Matters in Mind

As useful as technology is, the most important factor in minimizing re-review is mindset.  

You have to remind yourself to look forward before a matter begins, to set your work up to be reused. After the matter, you have to remember to look back and use what you’ve done to inform future matters.

Before the Matter

You can plan ahead by anticipating overlap with future matters and getting your databases and technology lined up. While all matters will have different nuances, anticipating how your work on a current matter could apply to future matters will help your team be more strategic.

Minimizing Rework (Review & Redactions): Getting Ready Before the Matter

During the Matter

Now it’s time for your planning to pay off. If you didn’t plan ahead, you can still deploy some tactics during a matter that will help in the future.

Minimizing Rework (Review & Redactions): Execution During a Matter

table with checkmarks

After the Matter

Taking time to look back on a completed matter can set you up for success on the next one. Teams can leverage linguistic analysis to conduct root-cause assessments, then use those assessments to re-train and educate internal and external teams before the next matter. This supports cross-matter consistency and minimal re-review—for instance, by recalibrating a team’s approach to privilege scope on specific documents.

Approaching Review with Other Matters in Mind

As useful as technology is, the most important factor in minimizing re-review is mindset.  

You have to remind yourself to look forward before a matter begins, to set your work up to be reused. After the matter, you have to remember to look back and use what you’ve done to inform future matters.

Before the Matter

You can plan ahead by anticipating overlap with future matters and getting your databases and technology lined up. While all matters will have different nuances, anticipating how your work on a current matter could apply to future matters will help your team be more strategic.

Minimizing Rework (Review & Redactions): Getting Ready Before the Matter

During the Matter

Now it’s time for your planning to pay off. If you didn’t plan ahead, you can still deploy some tactics during a matter that will help in the future.

Minimizing Rework (Review & Redactions): Execution During a Matter

table with checkmarks

After the Matter

Taking time to look back on a completed matter can set you up for success on the next one. Teams can leverage linguistic analysis to conduct root-cause assessments, then use those assessments to re-train and educate internal and external teams before the next matter. This supports cross-matter consistency and minimal re-review—for instance, by recalibrating a team’s approach to privilege scope on specific documents.

Approaching Review with Other Matters in Mind

As useful as technology is, the most important factor in minimizing re-review is mindset.  

You have to remind yourself to look forward before a matter begins, to set your work up to be reused. After the matter, you have to remember to look back and use what you’ve done to inform future matters.

Before the Matter

You can plan ahead by anticipating overlap with future matters and getting your databases and technology lined up. While all matters will have different nuances, anticipating how your work on a current matter could apply to future matters will help your team be more strategic.

Minimizing Rework (Review & Redactions): Getting Ready Before the Matter

During the Matter

Now it’s time for your planning to pay off. If you didn’t plan ahead, you can still deploy some tactics during a matter that will help in the future.

Minimizing Rework (Review & Redactions): Execution During a Matter

table with checkmarks

After the Matter

Taking time to look back on a completed matter can set you up for success on the next one. Teams can leverage linguistic analysis to conduct root-cause assessments, then use those assessments to re-train and educate internal and external teams before the next matter. This supports cross-matter consistency and minimal re-review—for instance, by recalibrating a team’s approach to privilege scope on specific documents.

A female lawyer looking out the window, holding a tablet.slanted orange lines
A man and a woman looking at a tablet in an office building.slanted orange lines

Approaching Review with Other Matters in Mind

As useful as technology is, the most important factor in minimizing re-review is mindset.  

You have to remind yourself to look forward before a matter begins, to set your work up to be reused. After the matter, you have to remember to look back and use what you’ve done to inform future matters.

Before the Matter

You can plan ahead by anticipating overlap with future matters and getting your databases and technology lined up. While all matters will have different nuances, anticipating how your work on a current matter could apply to future matters will help your team be more strategic.

Minimizing Rework (Review & Redactions): Getting Ready Before the Matter

During the Matter

Now it’s time for your planning to pay off. If you didn’t plan ahead, you can still deploy some tactics during a matter that will help in the future.

Minimizing Rework (Review & Redactions): Execution During a Matter

table with checkmarks

After the Matter

Taking time to look back on a completed matter can set you up for success on the next one. Teams can leverage linguistic analysis to conduct root-cause assessments, then use those assessments to re-train and educate internal and external teams before the next matter. This supports cross-matter consistency and minimal re-review—for instance, by recalibrating a team’s approach to privilege scope on specific documents.

Approaching Review with Other Matters in Mind

As useful as technology is, the most important factor in minimizing re-review is mindset.  

You have to remind yourself to look forward before a matter begins, to set your work up to be reused. After the matter, you have to remember to look back and use what you’ve done to inform future matters.

Before the Matter

You can plan ahead by anticipating overlap with future matters and getting your databases and technology lined up. While all matters will have different nuances, anticipating how your work on a current matter could apply to future matters will help your team be more strategic.

Minimizing Rework (Review & Redactions): Getting Ready Before the Matter

During the Matter

Now it’s time for your planning to pay off. If you didn’t plan ahead, you can still deploy some tactics during a matter that will help in the future.

Minimizing Rework (Review & Redactions): Execution During a Matter

table with checkmarks

After the Matter

Taking time to look back on a completed matter can set you up for success on the next one. Teams can leverage linguistic analysis to conduct root-cause assessments, then use those assessments to re-train and educate internal and external teams before the next matter. This supports cross-matter consistency and minimal re-review—for instance, by recalibrating a team’s approach to privilege scope on specific documents.

icon of a down arrowicon of a down arrowicon of a down arrow

Approaching Review with Other Matters in Mind

As useful as technology is, the most important factor in minimizing re-review is mindset.  

You have to remind yourself to look forward before a matter begins, to set your work up to be reused. After the matter, you have to remember to look back and use what you’ve done to inform future matters.

Before the Matter

You can plan ahead by anticipating overlap with future matters and getting your databases and technology lined up. While all matters will have different nuances, anticipating how your work on a current matter could apply to future matters will help your team be more strategic.

Minimizing Rework (Review & Redactions): Getting Ready Before the Matter

During the Matter

Now it’s time for your planning to pay off. If you didn’t plan ahead, you can still deploy some tactics during a matter that will help in the future.

Minimizing Rework (Review & Redactions): Execution During a Matter

table with checkmarks

After the Matter

Taking time to look back on a completed matter can set you up for success on the next one. Teams can leverage linguistic analysis to conduct root-cause assessments, then use those assessments to re-train and educate internal and external teams before the next matter. This supports cross-matter consistency and minimal re-review—for instance, by recalibrating a team’s approach to privilege scope on specific documents.

Approaching Review with Other Matters in Mind

As useful as technology is, the most important factor in minimizing re-review is mindset.  

You have to remind yourself to look forward before a matter begins, to set your work up to be reused. After the matter, you have to remember to look back and use what you’ve done to inform future matters.

Before the Matter

You can plan ahead by anticipating overlap with future matters and getting your databases and technology lined up. While all matters will have different nuances, anticipating how your work on a current matter could apply to future matters will help your team be more strategic.

Minimizing Rework (Review & Redactions): Getting Ready Before the Matter

During the Matter

Now it’s time for your planning to pay off. If you didn’t plan ahead, you can still deploy some tactics during a matter that will help in the future.

Minimizing Rework (Review & Redactions): Execution During a Matter

table with checkmarks

After the Matter

Taking time to look back on a completed matter can set you up for success on the next one. Teams can leverage linguistic analysis to conduct root-cause assessments, then use those assessments to re-train and educate internal and external teams before the next matter. This supports cross-matter consistency and minimal re-review—for instance, by recalibrating a team’s approach to privilege scope on specific documents.

Three teal rightward arrows aligned in a row on a white background.

Example Scenarios: How Legal Professionals Can Reduce Repeated Review

Now that we’ve considered modern approaches that can help minimize the need for repeated review, let’s see how they can be used in action.  

Remember that there is no silver bullet. Each matter or matter type may utilize a combination of different technologies and workflows, depending on the circumstance. The important thing is finding outside counsel and a managed review partner who can meet you where you are, work with your team to minimize review in the current matter or program state, then continue to maximize efficiency as you move forward.

Three teal rightward arrows aligned in a row on a white background.

Example Scenarios: How Legal Professionals Can Reduce Repeated Review

Now that we’ve considered modern approaches that can help minimize the need for repeated review, let’s see how they can be used in action.  

Remember that there is no silver bullet. Each matter or matter type may utilize a combination of different technologies and workflows, depending on the circumstance. The important thing is finding outside counsel and a managed review partner who can meet you where you are, work with your team to minimize review in the current matter or program state, then continue to maximize efficiency as you move forward.

Three teal rightward arrows aligned in a row on a white background.

Example Scenarios: How Legal Professionals Can Reduce Repeated Review

Now that we’ve considered modern approaches that can help minimize the need for repeated review, let’s see how they can be used in action.  

Remember that there is no silver bullet. Each matter or matter type may utilize a combination of different technologies and workflows, depending on the circumstance. The important thing is finding outside counsel and a managed review partner who can meet you where you are, work with your team to minimize review in the current matter or program state, then continue to maximize efficiency as you move forward.

Three teal rightward arrows aligned in a row on a white background.

Example Scenarios: How Legal Professionals Can Reduce Repeated Review

Now that we’ve considered modern approaches that can help minimize the need for repeated review, let’s see how they can be used in action.  

Remember that there is no silver bullet. Each matter or matter type may utilize a combination of different technologies and workflows, depending on the circumstance. The important thing is finding outside counsel and a managed review partner who can meet you where you are, work with your team to minimize review in the current matter or program state, then continue to maximize efficiency as you move forward.

quotation mark iconquotation mark icon
Three teal rightward arrows aligned in a row on a white background.

Example Scenarios: How Legal Professionals Can Reduce Repeated Review

Now that we’ve considered modern approaches that can help minimize the need for repeated review, let’s see how they can be used in action.  

Remember that there is no silver bullet. Each matter or matter type may utilize a combination of different technologies and workflows, depending on the circumstance. The important thing is finding outside counsel and a managed review partner who can meet you where you are, work with your team to minimize review in the current matter or program state, then continue to maximize efficiency as you move forward.

Three teal rightward arrows aligned in a row on a white background.

Example Scenarios: How Legal Professionals Can Reduce Repeated Review

Now that we’ve considered modern approaches that can help minimize the need for repeated review, let’s see how they can be used in action.  

Remember that there is no silver bullet. Each matter or matter type may utilize a combination of different technologies and workflows, depending on the circumstance. The important thing is finding outside counsel and a managed review partner who can meet you where you are, work with your team to minimize review in the current matter or program state, then continue to maximize efficiency as you move forward.

Three teal rightward arrows aligned in a row on a white background.

Example Scenarios: How Legal Professionals Can Reduce Repeated Review

Now that we’ve considered modern approaches that can help minimize the need for repeated review, let’s see how they can be used in action.  

Remember that there is no silver bullet. Each matter or matter type may utilize a combination of different technologies and workflows, depending on the circumstance. The important thing is finding outside counsel and a managed review partner who can meet you where you are, work with your team to minimize review in the current matter or program state, then continue to maximize efficiency as you move forward.

A female lawyer looking out the window, holding a tablet.slanted orange lines
A man and a woman looking at a tablet in an office building.slanted orange lines
Three teal rightward arrows aligned in a row on a white background.

Example Scenarios: How Legal Professionals Can Reduce Repeated Review

Now that we’ve considered modern approaches that can help minimize the need for repeated review, let’s see how they can be used in action.  

Remember that there is no silver bullet. Each matter or matter type may utilize a combination of different technologies and workflows, depending on the circumstance. The important thing is finding outside counsel and a managed review partner who can meet you where you are, work with your team to minimize review in the current matter or program state, then continue to maximize efficiency as you move forward.

Three teal rightward arrows aligned in a row on a white background.

Example Scenarios: How Legal Professionals Can Reduce Repeated Review

Now that we’ve considered modern approaches that can help minimize the need for repeated review, let’s see how they can be used in action.  

Remember that there is no silver bullet. Each matter or matter type may utilize a combination of different technologies and workflows, depending on the circumstance. The important thing is finding outside counsel and a managed review partner who can meet you where you are, work with your team to minimize review in the current matter or program state, then continue to maximize efficiency as you move forward.

icon of a down arrowicon of a down arrowicon of a down arrow
Three teal rightward arrows aligned in a row on a white background.

Example Scenarios: How Legal Professionals Can Reduce Repeated Review

Now that we’ve considered modern approaches that can help minimize the need for repeated review, let’s see how they can be used in action.  

Remember that there is no silver bullet. Each matter or matter type may utilize a combination of different technologies and workflows, depending on the circumstance. The important thing is finding outside counsel and a managed review partner who can meet you where you are, work with your team to minimize review in the current matter or program state, then continue to maximize efficiency as you move forward.

Three teal rightward arrows aligned in a row on a white background.

Example Scenarios: How Legal Professionals Can Reduce Repeated Review

Now that we’ve considered modern approaches that can help minimize the need for repeated review, let’s see how they can be used in action.  

Remember that there is no silver bullet. Each matter or matter type may utilize a combination of different technologies and workflows, depending on the circumstance. The important thing is finding outside counsel and a managed review partner who can meet you where you are, work with your team to minimize review in the current matter or program state, then continue to maximize efficiency as you move forward.

Related Matters with Overlapping Relevance

Example

  • Litigations where everything is similar except geography.

Process

  • Set up a central database for all documents and separate databases for each matter. Within the central database, use a TAR 1.0 model to identify a “universal responsive set” of documents (documents that are relevant across all matters).
  • Review the remaining (non-universally responsive) documents and use issue codes to tag documents responsive to specific jurisdictional matters.
  • Fully QC and redact all responsive documents within the central database. Load a copy of universally responsive set to each matter database. Add any documents responsive to an individual matter to the corresponding matter database.
  • Produce documents for each matter from its corresponding database.

Benefits

  • Consistent decisions and redactions across matters, with room for variation necessary to meet case-specific ESI production requirements.
  • More freedom for individual case teams to structure their post-production workflows.
  • Stricter control of data.
  • More accurate billing.

Unrelated Matters with Similar Relevance Themes

Example

  • IP litigations or a DOJ investigation that branches into a class action.

Process

  • Keep all data for multiple matters in one database accessible to multiple outside counsel.
  • Afford separate coding panels and review workflows within the one database.

Benefits

  • Data does not have to be re-processed.
  • Privilege, confidentiality, trade secret, and PII decisions and redactions can easily be applied and QCed across all matters.
  • Separate, faster workflows where reviewers focus only on responsiveness for each individual matter.
  • Reviewers and counsel have insight into how documents are coded for responsiveness in related matters.

Unrelated Matters with Similar Data

Example

  • Unrelated matters with the same “frequent flyer” custodians.

Process

  • Use pre-built classifiers, generated by advanced AI tools from past matters, to sort for privilege, redactions, toxic language, junk documents, and confidentiality.
  • Reuse past coding for specific categories of documents pre-determined to be responsive across both matters (e.g., board of director meeting materials).

Benefits

  • Review teams freed to focus on relevancy.

Related Matters with Overlapping Relevance

Example

  • Litigations where everything is similar except geography.

Process

  • Set up a central database for all documents and separate databases for each matter. Within the central database, use a TAR 1.0 model to identify a “universal responsive set” of documents (documents that are relevant across all matters).
  • Review the remaining (non-universally responsive) documents and use issue codes to tag documents responsive to specific jurisdictional matters.
  • Fully QC and redact all responsive documents within the central database. Load a copy of universally responsive set to each matter database. Add any documents responsive to an individual matter to the corresponding matter database.
  • Produce documents for each matter from its corresponding database.

Benefits

  • Consistent decisions and redactions across matters, with room for variation necessary to meet case-specific ESI production requirements.
  • More freedom for individual case teams to structure their post-production workflows.
  • Stricter control of data.
  • More accurate billing.

Unrelated Matters with Similar Relevance Themes

Example

  • IP litigations or a DOJ investigation that branches into a class action.

Process

  • Keep all data for multiple matters in one database accessible to multiple outside counsel.
  • Afford separate coding panels and review workflows within the one database.

Benefits

  • Data does not have to be re-processed.
  • Privilege, confidentiality, trade secret, and PII decisions and redactions can easily be applied and QCed across all matters.
  • Separate, faster workflows where reviewers focus only on responsiveness for each individual matter.
  • Reviewers and counsel have insight into how documents are coded for responsiveness in related matters.

Unrelated Matters with Similar Data

Example

  • Unrelated matters with the same “frequent flyer” custodians.

Process

  • Use pre-built classifiers, generated by advanced AI tools from past matters, to sort for privilege, redactions, toxic language, junk documents, and confidentiality.
  • Reuse past coding for specific categories of documents pre-determined to be responsive across both matters (e.g., board of director meeting materials).

Benefits

  • Review teams freed to focus on relevancy.

Related Matters with Overlapping Relevance

Example

  • Litigations where everything is similar except geography.

Process

  • Set up a central database for all documents and separate databases for each matter. Within the central database, use a TAR 1.0 model to identify a “universal responsive set” of documents (documents that are relevant across all matters).
  • Review the remaining (non-universally responsive) documents and use issue codes to tag documents responsive to specific jurisdictional matters.
  • Fully QC and redact all responsive documents within the central database. Load a copy of universally responsive set to each matter database. Add any documents responsive to an individual matter to the corresponding matter database.
  • Produce documents for each matter from its corresponding database.

Benefits

  • Consistent decisions and redactions across matters, with room for variation necessary to meet case-specific ESI production requirements.
  • More freedom for individual case teams to structure their post-production workflows.
  • Stricter control of data.
  • More accurate billing.

Related Matters with Overlapping Relevance

Example

  • Litigations where everything is similar except geography.

Process

  • Set up a central database for all documents and separate databases for each matter. Within the central database, use a TAR 1.0 model to identify a “universal responsive set” of documents (documents that are relevant across all matters).
  • Review the remaining (non-universally responsive) documents and use issue codes to tag documents responsive to specific jurisdictional matters.
  • Fully QC and redact all responsive documents within the central database. Load a copy of universally responsive set to each matter database. Add any documents responsive to an individual matter to the corresponding matter database.
  • Produce documents for each matter from its corresponding database.

Benefits

  • Consistent decisions and redactions across matters, with room for variation necessary to meet case-specific ESI production requirements.
  • More freedom for individual case teams to structure their post-production workflows.
  • Stricter control of data.
  • More accurate billing.

Unrelated Matters with Similar Relevance Themes

Example

  • IP litigations or a DOJ investigation that branches into a class action.

Process

  • Keep all data for multiple matters in one database accessible to multiple outside counsel.
  • Afford separate coding panels and review workflows within the one database.

Benefits

  • Data does not have to be re-processed.
  • Privilege, confidentiality, trade secret, and PII decisions and redactions can easily be applied and QCed across all matters.
  • Separate, faster workflows where reviewers focus only on responsiveness for each individual matter.
  • Reviewers and counsel have insight into how documents are coded for responsiveness in related matters.
quotation mark iconquotation mark icon

Related Matters with Overlapping Relevance

Example

  • Litigations where everything is similar except geography.

Process

  • Set up a central database for all documents and separate databases for each matter. Within the central database, use a TAR 1.0 model to identify a “universal responsive set” of documents (documents that are relevant across all matters).
  • Review the remaining (non-universally responsive) documents and use issue codes to tag documents responsive to specific jurisdictional matters.
  • Fully QC and redact all responsive documents within the central database. Load a copy of universally responsive set to each matter database. Add any documents responsive to an individual matter to the corresponding matter database.
  • Produce documents for each matter from its corresponding database.

Benefits

  • Consistent decisions and redactions across matters, with room for variation necessary to meet case-specific ESI production requirements.
  • More freedom for individual case teams to structure their post-production workflows.
  • Stricter control of data.
  • More accurate billing.

Related Matters with Overlapping Relevance

Example

  • Litigations where everything is similar except geography.

Process

  • Set up a central database for all documents and separate databases for each matter. Within the central database, use a TAR 1.0 model to identify a “universal responsive set” of documents (documents that are relevant across all matters).
  • Review the remaining (non-universally responsive) documents and use issue codes to tag documents responsive to specific jurisdictional matters.
  • Fully QC and redact all responsive documents within the central database. Load a copy of universally responsive set to each matter database. Add any documents responsive to an individual matter to the corresponding matter database.
  • Produce documents for each matter from its corresponding database.

Benefits

  • Consistent decisions and redactions across matters, with room for variation necessary to meet case-specific ESI production requirements.
  • More freedom for individual case teams to structure their post-production workflows.
  • Stricter control of data.
  • More accurate billing.

Related Matters with Overlapping Relevance

Example

  • Litigations where everything is similar except geography.

Process

  • Set up a central database for all documents and separate databases for each matter. Within the central database, use a TAR 1.0 model to identify a “universal responsive set” of documents (documents that are relevant across all matters).
  • Review the remaining (non-universally responsive) documents and use issue codes to tag documents responsive to specific jurisdictional matters.
  • Fully QC and redact all responsive documents within the central database. Load a copy of universally responsive set to each matter database. Add any documents responsive to an individual matter to the corresponding matter database.
  • Produce documents for each matter from its corresponding database.

Benefits

  • Consistent decisions and redactions across matters, with room for variation necessary to meet case-specific ESI production requirements.
  • More freedom for individual case teams to structure their post-production workflows.
  • Stricter control of data.
  • More accurate billing.
A female lawyer looking out the window, holding a tablet.slanted orange lines
A man and a woman looking at a tablet in an office building.slanted orange lines

Related Matters with Overlapping Relevance

Example

  • Litigations where everything is similar except geography.

Process

  • Set up a central database for all documents and separate databases for each matter. Within the central database, use a TAR 1.0 model to identify a “universal responsive set” of documents (documents that are relevant across all matters).
  • Review the remaining (non-universally responsive) documents and use issue codes to tag documents responsive to specific jurisdictional matters.
  • Fully QC and redact all responsive documents within the central database. Load a copy of universally responsive set to each matter database. Add any documents responsive to an individual matter to the corresponding matter database.
  • Produce documents for each matter from its corresponding database.

Benefits

  • Consistent decisions and redactions across matters, with room for variation necessary to meet case-specific ESI production requirements.
  • More freedom for individual case teams to structure their post-production workflows.
  • Stricter control of data.
  • More accurate billing.

Related Matters with Overlapping Relevance

Example

  • Litigations where everything is similar except geography.

Process

  • Set up a central database for all documents and separate databases for each matter. Within the central database, use a TAR 1.0 model to identify a “universal responsive set” of documents (documents that are relevant across all matters).
  • Review the remaining (non-universally responsive) documents and use issue codes to tag documents responsive to specific jurisdictional matters.
  • Fully QC and redact all responsive documents within the central database. Load a copy of universally responsive set to each matter database. Add any documents responsive to an individual matter to the corresponding matter database.
  • Produce documents for each matter from its corresponding database.

Benefits

  • Consistent decisions and redactions across matters, with room for variation necessary to meet case-specific ESI production requirements.
  • More freedom for individual case teams to structure their post-production workflows.
  • Stricter control of data.
  • More accurate billing.

Unrelated Matters with Similar Relevance Themes

Example

  • IP litigations or a DOJ investigation that branches into a class action.

Process

  • Keep all data for multiple matters in one database accessible to multiple outside counsel.
  • Afford separate coding panels and review workflows within the one database.

Benefits

  • Data does not have to be re-processed.
  • Privilege, confidentiality, trade secret, and PII decisions and redactions can easily be applied and QCed across all matters.
  • Separate, faster workflows where reviewers focus only on responsiveness for each individual matter.
  • Reviewers and counsel have insight into how documents are coded for responsiveness in related matters.

Unrelated Matters with Similar Data

Example

  • Unrelated matters with the same “frequent flyer” custodians.

Process

  • Use pre-built classifiers, generated by advanced AI tools from past matters, to sort for privilege, redactions, toxic language, junk documents, and confidentiality.
  • Reuse past coding for specific categories of documents pre-determined to be responsive across both matters (e.g., board of director meeting materials).

Benefits

  • Review teams freed to focus on relevancy.
icon of a down arrowicon of a down arrowicon of a down arrow

Related Matters with Overlapping Relevance

Example

  • Litigations where everything is similar except geography.

Process

  • Set up a central database for all documents and separate databases for each matter. Within the central database, use a TAR 1.0 model to identify a “universal responsive set” of documents (documents that are relevant across all matters).
  • Review the remaining (non-universally responsive) documents and use issue codes to tag documents responsive to specific jurisdictional matters.
  • Fully QC and redact all responsive documents within the central database. Load a copy of universally responsive set to each matter database. Add any documents responsive to an individual matter to the corresponding matter database.
  • Produce documents for each matter from its corresponding database.

Benefits

  • Consistent decisions and redactions across matters, with room for variation necessary to meet case-specific ESI production requirements.
  • More freedom for individual case teams to structure their post-production workflows.
  • Stricter control of data.
  • More accurate billing.

Unrelated Matters with Similar Relevance Themes

Example

  • IP litigations or a DOJ investigation that branches into a class action.

Process

  • Keep all data for multiple matters in one database accessible to multiple outside counsel.
  • Afford separate coding panels and review workflows within the one database.

Benefits

  • Data does not have to be re-processed.
  • Privilege, confidentiality, trade secret, and PII decisions and redactions can easily be applied and QCed across all matters.
  • Separate, faster workflows where reviewers focus only on responsiveness for each individual matter.
  • Reviewers and counsel have insight into how documents are coded for responsiveness in related matters.

Unrelated Matters with Similar Data

Example

  • Unrelated matters with the same “frequent flyer” custodians.

Process

  • Use pre-built classifiers, generated by advanced AI tools from past matters, to sort for privilege, redactions, toxic language, junk documents, and confidentiality.
  • Reuse past coding for specific categories of documents pre-determined to be responsive across both matters (e.g., board of director meeting materials).

Benefits

  • Review teams freed to focus on relevancy.

Related Matters with Overlapping Relevance

Example

  • Litigations where everything is similar except geography.

Process

  • Set up a central database for all documents and separate databases for each matter. Within the central database, use a TAR 1.0 model to identify a “universal responsive set” of documents (documents that are relevant across all matters).
  • Review the remaining (non-universally responsive) documents and use issue codes to tag documents responsive to specific jurisdictional matters.
  • Fully QC and redact all responsive documents within the central database. Load a copy of universally responsive set to each matter database. Add any documents responsive to an individual matter to the corresponding matter database.
  • Produce documents for each matter from its corresponding database.

Benefits

  • Consistent decisions and redactions across matters, with room for variation necessary to meet case-specific ESI production requirements.
  • More freedom for individual case teams to structure their post-production workflows.
  • Stricter control of data.
  • More accurate billing.

Unrelated Matters with Similar Relevance Themes

Example

  • IP litigations or a DOJ investigation that branches into a class action.

Process

  • Keep all data for multiple matters in one database accessible to multiple outside counsel.
  • Afford separate coding panels and review workflows within the one database.

Benefits

  • Data does not have to be re-processed.
  • Privilege, confidentiality, trade secret, and PII decisions and redactions can easily be applied and QCed across all matters.
  • Separate, faster workflows where reviewers focus only on responsiveness for each individual matter.
  • Reviewers and counsel have insight into how documents are coded for responsiveness in related matters.

Unrelated Matters with Similar Data

Example

  • Unrelated matters with the same “frequent flyer” custodians.

Process

  • Use pre-built classifiers, generated by advanced AI tools from past matters, to sort for privilege, redactions, toxic language, junk documents, and confidentiality.
  • Reuse past coding for specific categories of documents pre-determined to be responsive across both matters (e.g., board of director meeting materials).

Benefits

  • Review teams freed to focus on relevancy.
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Ready to Try It?

It’s never been more important to reduce re-review across matters. Data volumes keep expanding in the digital world, and legal budgets keep shrinking in response to economic volatility. Legal teams must ensure that the time and money they spend on one matter isn’t wasted on just that matter.  

Wherever you are at in your eDiscovery journey, there are steps you can take to maximize the value of review work so that it can be used across matters with similar data. By starting small and working with outside counsel and managed review partners who share your goals, law firms and legal professionals can act now to help themselves in the future.

Blue and dark blue gradient background with three white chevron arrows pointing right and circular arrow patterns.
Three teal arrows pointing to the right on a white background.

Ready to Try It?

It’s never been more important to reduce re-review across matters. Data volumes keep expanding in the digital world, and legal budgets keep shrinking in response to economic volatility. Legal teams must ensure that the time and money they spend on one matter isn’t wasted on just that matter.  

Wherever you are at in your eDiscovery journey, there are steps you can take to maximize the value of review work so that it can be used across matters with similar data. By starting small and working with outside counsel and managed review partners who share your goals, law firms and legal professionals can act now to help themselves in the future.

Blue and dark blue gradient background with three white chevron arrows pointing right and circular arrow patterns.
Three teal arrows pointing to the right on a white background.

Ready to Try It?

It’s never been more important to reduce re-review across matters. Data volumes keep expanding in the digital world, and legal budgets keep shrinking in response to economic volatility. Legal teams must ensure that the time and money they spend on one matter isn’t wasted on just that matter.  

Wherever you are at in your eDiscovery journey, there are steps you can take to maximize the value of review work so that it can be used across matters with similar data. By starting small and working with outside counsel and managed review partners who share your goals, law firms and legal professionals can act now to help themselves in the future.

Blue and dark blue gradient background with three white chevron arrows pointing right and circular arrow patterns.
Three teal arrows pointing to the right on a white background.

Ready to Try It?

It’s never been more important to reduce re-review across matters. Data volumes keep expanding in the digital world, and legal budgets keep shrinking in response to economic volatility. Legal teams must ensure that the time and money they spend on one matter isn’t wasted on just that matter.  

Wherever you are at in your eDiscovery journey, there are steps you can take to maximize the value of review work so that it can be used across matters with similar data. By starting small and working with outside counsel and managed review partners who share your goals, law firms and legal professionals can act now to help themselves in the future.

Blue and dark blue gradient background with three white chevron arrows pointing right and circular arrow patterns.
quotation mark iconquotation mark icon
Three teal arrows pointing to the right on a white background.

Ready to Try It?

It’s never been more important to reduce re-review across matters. Data volumes keep expanding in the digital world, and legal budgets keep shrinking in response to economic volatility. Legal teams must ensure that the time and money they spend on one matter isn’t wasted on just that matter.  

Wherever you are at in your eDiscovery journey, there are steps you can take to maximize the value of review work so that it can be used across matters with similar data. By starting small and working with outside counsel and managed review partners who share your goals, law firms and legal professionals can act now to help themselves in the future.

Blue and dark blue gradient background with three white chevron arrows pointing right and circular arrow patterns.
Three teal arrows pointing to the right on a white background.

Ready to Try It?

It’s never been more important to reduce re-review across matters. Data volumes keep expanding in the digital world, and legal budgets keep shrinking in response to economic volatility. Legal teams must ensure that the time and money they spend on one matter isn’t wasted on just that matter.  

Wherever you are at in your eDiscovery journey, there are steps you can take to maximize the value of review work so that it can be used across matters with similar data. By starting small and working with outside counsel and managed review partners who share your goals, law firms and legal professionals can act now to help themselves in the future.

Blue and dark blue gradient background with three white chevron arrows pointing right and circular arrow patterns.
Three teal arrows pointing to the right on a white background.

Ready to Try It?

It’s never been more important to reduce re-review across matters. Data volumes keep expanding in the digital world, and legal budgets keep shrinking in response to economic volatility. Legal teams must ensure that the time and money they spend on one matter isn’t wasted on just that matter.  

Wherever you are at in your eDiscovery journey, there are steps you can take to maximize the value of review work so that it can be used across matters with similar data. By starting small and working with outside counsel and managed review partners who share your goals, law firms and legal professionals can act now to help themselves in the future.

Blue and dark blue gradient background with three white chevron arrows pointing right and circular arrow patterns.
A female lawyer looking out the window, holding a tablet.slanted orange lines
A man and a woman looking at a tablet in an office building.slanted orange lines
Three teal arrows pointing to the right on a white background.

Ready to Try It?

It’s never been more important to reduce re-review across matters. Data volumes keep expanding in the digital world, and legal budgets keep shrinking in response to economic volatility. Legal teams must ensure that the time and money they spend on one matter isn’t wasted on just that matter.  

Wherever you are at in your eDiscovery journey, there are steps you can take to maximize the value of review work so that it can be used across matters with similar data. By starting small and working with outside counsel and managed review partners who share your goals, law firms and legal professionals can act now to help themselves in the future.

Blue and dark blue gradient background with three white chevron arrows pointing right and circular arrow patterns.
Three teal arrows pointing to the right on a white background.

Ready to Try It?

It’s never been more important to reduce re-review across matters. Data volumes keep expanding in the digital world, and legal budgets keep shrinking in response to economic volatility. Legal teams must ensure that the time and money they spend on one matter isn’t wasted on just that matter.  

Wherever you are at in your eDiscovery journey, there are steps you can take to maximize the value of review work so that it can be used across matters with similar data. By starting small and working with outside counsel and managed review partners who share your goals, law firms and legal professionals can act now to help themselves in the future.

Blue and dark blue gradient background with three white chevron arrows pointing right and circular arrow patterns.
icon of a down arrowicon of a down arrowicon of a down arrow
Three teal arrows pointing to the right on a white background.

Ready to Try It?

It’s never been more important to reduce re-review across matters. Data volumes keep expanding in the digital world, and legal budgets keep shrinking in response to economic volatility. Legal teams must ensure that the time and money they spend on one matter isn’t wasted on just that matter.  

Wherever you are at in your eDiscovery journey, there are steps you can take to maximize the value of review work so that it can be used across matters with similar data. By starting small and working with outside counsel and managed review partners who share your goals, law firms and legal professionals can act now to help themselves in the future.

Blue and dark blue gradient background with three white chevron arrows pointing right and circular arrow patterns.
Three teal arrows pointing to the right on a white background.

Ready to Try It?

It’s never been more important to reduce re-review across matters. Data volumes keep expanding in the digital world, and legal budgets keep shrinking in response to economic volatility. Legal teams must ensure that the time and money they spend on one matter isn’t wasted on just that matter.  

Wherever you are at in your eDiscovery journey, there are steps you can take to maximize the value of review work so that it can be used across matters with similar data. By starting small and working with outside counsel and managed review partners who share your goals, law firms and legal professionals can act now to help themselves in the future.

Blue and dark blue gradient background with three white chevron arrows pointing right and circular arrow patterns.
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