Legal Analytics tools are gaining ground in the legal technology space. Docket Alarm, Founded by CEO and former IP Litigator Michael Sander is one of the group’s rising stars.
Also, a software engineer, Michael built Docket Alarm out of necessity. He used the tool internally at his firm until word spread and several large law firms approached him for access.
Docket Alarm’s core features make it easy to Search, Track and Analyze court records and data from over 100 court systems. Including PACER records, ITC, PTAB, Trademark, and State level courts. The system can analyze opinions, but also motions, orders, and even complaints. The system has aggregated over 200 Million records and adds tens of thousands every day.
Unlike other providers, the full text of these documents is searchable. Machine learning powers Docket Alarm, improving search capabilities. Importantly, the platform can analyze an entire case, not just individual documents, representing a far higher level of analysis that is otherwise offered.
In addition to being used as a research tool, Docket Alarm is also used as a docket workflow solution. The system updates its cases continuously, in some cases instantaneously, speeding up attorneys and docket professionals workflows.
Use Case – Patent Litigation
Michael walked me through an everyday patent litigation search, and the speed was astounding.
We used the phrase “claim construction” within ten words of microprocessor or CPU. The complex search returned results instantaneously. From the records presented, we then had the option to filter by:
- Document Type: Decisions, Orders, Exhibits, Briefs
- Case Outcome: Claims Canceled, Settled, etc.
- Entities Involved: Judge, Company, Law Firm, and Attorney
Documents are tagged to make this process efficient. Note that not only can you find the decision, but briefs are available in the same place. Knocking out two searches in the same screen. Further, trim your selection by court location to get to exactly the results you need.
Next, put the power of legal analytics to work.
Entries are grouped to show a Judge’s decision-making pattern. For example, in the screenshot below, one Judge is 25% less likely to grant a particular type of decision than other peer judges. Michael explained that this type of analysis can be used on a wide variety of types of decisions and legal areas.
All of the underlying cases are linked directly to the analytics, and with just one or two clicks, you can read the cases that produced the statistics.
The analytics contain a variety of procedural and substantive filters to find relevant analytics. For example, if you focus on the pharmaceutical industry, Orange Book patents are very important. The analytics discovered that orange book patents are 40% less likely to get a particular type of decision.
Orange Book Case Outcomes
Parties, Law Firms, Attorneys
Docket Alarm can also rank companies, law firms, and attorneys by a variety of factors. The Party Tab is a fantastic research tool. Sort by company, case types, area of focus, and how proceedings terminate. Stages are also available, uncovering whether they tend to settle early.
Ranking of Top Companies
It can also show which law firms get an organization’s litigation work, showing you who you may be competing against. For example, view the top attorneys working for Apple. The same is true for Judges, view top performers and their corresponding case records. Information that dramatically improves the total research time needed for a client’s matter.
Organize your selection into a ‘Top Law Firms’ view, then add clients to see a full client list. Save it to easily return and review related parties or records.
Data Discoveries – Diversity and Inclusion
A hot-button topic for the legal industry has always been diversity. And while studies who there has been a slight bit of improvement, Docket Alarm’s legal analytics data uncover a new problem.
A Gender filter delivers the mix of lawyers at the law firms filing, the first metric. Second, is trend data measuring the male / female ratio of work being performed. Sadly, few firms have decent gender diversity profiles, only 8 firms of the top 100 firms have 10% females gender diversity on cases.
Analytics give deeper insights into the diversity problem. As in… who’s actually giving ‘Court Time’ instead of just tallying employees to hit a number.
Additional Uses for Legal Analytics
Case preparation and competitive analysis are perfect for applying legal analytics. Another example Michael shared was to search for an expert witness and their case history. Find out before the case begins if this person has a tendency to go sideways, resulting in a different decision than one would have expected.
On the marketing and business development front, saved searches can alert you of filings related to a set of key-words, companies, or a competing law firm. Alert an existing client of a potential issue based on a recent trend in industry-specific decisions. Use the organization related searches as a reason to contact previous or potential clients about new work.
Usability and Design
The visual depiction of the results and analytics data, combined with the speed of search makes Docket Alarm a powerful, yet easy tool to use. Get in, get what you need, and be notified automatically when anything related updates. It’s that simple.
Overall, Michael and his team have been careful not to clutter the application with too many menus or millions of drop down filters. Their use of machine learning to improve usability and speed sets a standard of excellence other providers should look to as a successful example of how to harness the benefits of this new technology.
To learn more about Docket Alarm schedule a demo here: https://www.docketalarm.com/welcome/analytics