Learn more about LexSemble™, LexPredict’s intelligent crowd-sourcing platform for better legal-decision making.
LexSemble Use Cases:
- Litigation and Dispute Resolution
- Bankruptcy and Restructuring
- Transactions and M&A
- Regulatory and Compliance
- Transfer Pricing
- Patent Prosecution
LexSemble enables data-driven knowledge management for law out of the box. Areas like litigation, M&A, and regulatory approval have pre-configured KM objects and workflows. Unlike other KM tools, LexSemble approaches the task by focusing on the following KM concepts:
Many knowledge management systems would be better described as opinion or story management systems. LexSemble helps you validate and discover knowledge, not just store it.
For example, many expert directories or competence management systems rely solely on self-reported or second-hand information. While LexSemble can function as a simple directory, it also has the capability to discover and update these directories automatically over time based on the accuracy of an individual’s forecasts, their KM contributions, and other available data streams.
Many KM systems are collaborative in that they allow multiple users to edit a single knowledge entry. Few KM systems, however, are collaborative in that they allow for one knowledge entry to reflect the internal diversity of opinions in a structured fashion. LexSemble is built on ensembles of people and facts, allowing users to represent and drill down into complex issues.
For example, risk management strategies rely on understanding the range and relative likelihood of outcomes. Most KM systems focus on presenting only a single expert’s version of reality, which may result in unanticipated or surprising outcomes when this expert’s view is not broad enough. LexSemble is designed to help you anticipate the unanticipated or unlikely by helping to identify and present the variety of opinions that may exist.
LexSemble leverages your organization’s knowledge and experience to assist and automate decision-making and prediction, from early case assessment to RFP budgeting.
LexSemble uses crowd-sourcing to aggregate predictions from across your organization. Unlike the prediction of a single expert, crowds of experts can provide much more valuable information about the range and relative likelihood of outcomes.
In addition to facilitating the aggregation of human predictions and knowledge, LexSemble can also apply machine learning to classify, regress, and cluster. Since knowledge is collected in a structured form and data sources like matter management systems can be easily integrated, powerful data-driven models can be built and re-used rapidly.
Humans + Machines > Humans | Machines
Many technology companies market their products as replacing human judgement. LexSemble, on the other hand, is built around the idea that a balanced ensemble of humans and machines is better than either humans or machines alone.
Over time, LexSemble uses machine learning to discover the strengths and weaknesses of your team, generating even more accurate predictions, finding hidden relationships and outliers, and revealing previously unknown experts.
Knowledge and data have no value if they’re not accessible. LexSemble comes with standard reports so you can quickly evaluate many questions like “Will this court grant our motion for summary judgement?” or “How many months will the FTC take to approve this merger?“
User adoption is critical for a technology to have the desired impact. In our consulting, we’ve found that features like leaderboards and rapid performance feedback can improve employee engagement and quality. LexSemble is built around these ideas.
Want to re-categorize business method patents after Alice v. CLS Bank? How about updating your workflow after amended FRCP rules? LexSemble is designed to be highly-configurable, so you can easily customize it to fit your needs.