Cheaper Software
“People get bored, people get headaches. Computers don’t,” said Bill Herr, a lawyer who used to work for a chemical company.
Such tools owe a debt to an unlikely, though appropriate, source: the
electronic mail database known as the Enron Corpus.
In October 2003, Andrew McCallum, a computer scientist at the University of
Massachusetts, Amherst, read that the federal government had a collection
of more than five million messages from the prosecution of Enron.
He bought a copy of the database for $10,000 and made it freely available
to academic and corporate researchers. Since then, it has become the
foundation of a wealth of new science — and its value has endured,
since privacy constraints usually keep large collections of e-mail out of
reach. “It’s made a massive difference in the research
community,” Dr. McCallum said.
The Enron Corpus has led to a better understanding of how language is used
and how social networks function, and it has improved efforts to uncover
social groups based on e-mail communication.
Now artificial intelligence software has taken a seat at the negotiating
table.
Two months ago, Autonomy, an e-discovery company based in Britain, worked
with defense lawyers in a lawsuit brought against a large oil and gas
company. The plaintiffs showed up during a pretrial negotiation with a list
of words intended to be used to help select documents for use in the
lawsuit.
“The plaintiffs asked for 500 keywords to search on,” said Mike
Sullivan, chief executive of Autonomy Protect, the company’s
e-discovery division.
In response, he said, the defense lawyers used those words to analyze their
own documents during the negotiations, and those results helped them
bargain more effectively, Mr. Sullivan said.
Some specialists acknowledge that the technology has limits. “The
documents that the process kicks out still have to be read by
someone,” said Herbert L. Roitblat of OrcaTec, a consulting firm in
Altanta.
Quantifying the employment impact of these new technologies is difficult.
Mike Lynch, the founder of Autonomy, is convinced that “legal is a
sector that will likely employ fewer, not more, people in the U.S. in the
future.” He estimated that the shift from manual document discovery
to e-discovery would lead to a manpower reduction in which one lawyer would
suffice for work that once required 500 and that the newest generation of
software, which can detect duplicates and find clusters of important
documents on a particular topic, could cut the head count by another 50
percent.
The computers seem to be good at their new jobs. Mr. Herr, the former
chemical company lawyer, used e-discovery software to reanalyze work his
company’s lawyers did in the 1980s and ’90s. His human
colleagues had been only 60 percent accurate, he found.
“Think about how much money had been spent to be slightly better than
a coin toss,” he said.