Before we dive into the specifics of how exactly
predictive coding works, we need to first address the name.
As you can probably already tell there is a fair amount of technological sophistication (and some dreaded math) underlying how
predictive coding works.
In this episode of The Digital Detectives, Sharon Nelson and John Simek discuss the evolution of e-discovery, how
predictive coding works and is priced, and examples of cases that have involved predictive coding.
These variables are an important reminder as to why it is critical that clients beginning to leverage
predictive coding work with experts to advise on which methods make the most sense for a matter's unique needs.
Not exact matches
Predictive coding technologies are transforming the way that discovery
work is conducted.
Likewise, for cases that involve a mix of hard copy documents and electronic documents, it is better to deal with the hard copy documents manually, and use some form of
predictive coding on the electronic documents to balance the manual
work with a highly efficient approach for the digital portion.
On a practical level, Vogl pointed out that many law firms are
working with vendors using machine learning and
predictive coding for e-discovery.
We've been
working with a range of clients, including regulators, law firm partners and corporate legal teams to help them understand: first, the
predictive coding process as a whole from start to finish, and what that looks like for their particular matter; and second, some basic elements such as precision and recall, so they don't get bogged down in the nuts and bolts of the data science.
I'm currently
working on a large matter in Australia that involves testifying to how the
predictive coding was applied and the validity of the results.
Or
predictive coding that requires far fewer lawyer hours to do eDiscovery
work and allows them more time to explore and test new opportunities with their clients.
Case study examples of
predictive coding and analytics
working together on a Second Request, internal investigation and for trial prep
Finally, and perhaps not obviously at all, lawyers also
work with technology — not simply word processing and email, but software for document generation, electronic discovery,
predictive coding and technology assisted review, analysis by rules - based expert systems, blockchain.
Unlike in eDiscovery, where
predictive coding won't
work out of the box, our system comes with lots of knowledge built in.
There were several themes I saw from the conference, including e-discovery and
predictive coding, enterprise search, the use of iPads in legal practice (including mobile device management), and
working in the cloud.